From 7469c935f3ec8e9fe4f56b7eed07b284b7b7b5df Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Sun, 23 Jun 2013 14:19:09 +0400 Subject: [PATCH 01/55] HDR formats support and HDR making. Code only. --- .../CompilerIdCXX/CMakeCXXCompilerId.cpp | 372 +++++++++++++++ modules/highgui/CMakeLists.txt | 2 + modules/highgui/src/grfmt_hdr.cpp | 152 ++++++ modules/highgui/src/grfmt_hdr.hpp | 88 ++++ modules/highgui/src/grfmt_tiff.cpp | 98 +++- modules/highgui/src/grfmt_tiff.hpp | 5 +- modules/highgui/src/grfmts.hpp | 1 + modules/highgui/src/loadsave.cpp | 5 +- modules/highgui/src/rgbe.cpp | 450 ++++++++++++++++++ modules/highgui/src/rgbe.hpp | 92 ++++ modules/photo/include/opencv2/photo.hpp | 2 + modules/photo/src/hdr_fusion.cpp | 115 +++++ 12 files changed, 1378 insertions(+), 4 deletions(-) create mode 100644 CMakeFiles/2.8.11.1/CompilerIdCXX/CMakeCXXCompilerId.cpp create mode 100644 modules/highgui/src/grfmt_hdr.cpp create mode 100644 modules/highgui/src/grfmt_hdr.hpp create mode 100644 modules/highgui/src/rgbe.cpp create mode 100644 modules/highgui/src/rgbe.hpp create mode 100644 modules/photo/src/hdr_fusion.cpp diff --git a/CMakeFiles/2.8.11.1/CompilerIdCXX/CMakeCXXCompilerId.cpp b/CMakeFiles/2.8.11.1/CompilerIdCXX/CMakeCXXCompilerId.cpp new file mode 100644 index 000000000..17c8fd9d1 --- /dev/null +++ b/CMakeFiles/2.8.11.1/CompilerIdCXX/CMakeCXXCompilerId.cpp @@ -0,0 +1,372 @@ +/* This source file must have a .cpp extension so that all C++ compilers + recognize the extension without flags. Borland does not know .cxx for + example. */ +#ifndef __cplusplus +# error "A C compiler has been selected for C++." +#endif + +/* Version number components: V=Version, R=Revision, P=Patch + Version date components: YYYY=Year, MM=Month, DD=Day */ + +#if defined(__COMO__) +# define COMPILER_ID "Comeau" + /* __COMO_VERSION__ = VRR */ +# define COMPILER_VERSION_MAJOR DEC(__COMO_VERSION__ / 100) +# define COMPILER_VERSION_MINOR DEC(__COMO_VERSION__ % 100) + +#elif defined(__INTEL_COMPILER) || defined(__ICC) +# define COMPILER_ID "Intel" + /* __INTEL_COMPILER = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__INTEL_COMPILER/100) +# define COMPILER_VERSION_MINOR DEC(__INTEL_COMPILER/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__INTEL_COMPILER % 10) +# if defined(__INTEL_COMPILER_BUILD_DATE) + /* __INTEL_COMPILER_BUILD_DATE = YYYYMMDD */ +# define COMPILER_VERSION_TWEAK DEC(__INTEL_COMPILER_BUILD_DATE) +# endif + +#elif defined(__PATHCC__) +# define COMPILER_ID "PathScale" +# define COMPILER_VERSION_MAJOR DEC(__PATHCC__) +# define COMPILER_VERSION_MINOR DEC(__PATHCC_MINOR__) +# if defined(__PATHCC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__PATHCC_PATCHLEVEL__) +# endif + +#elif defined(__clang__) +# define COMPILER_ID "Clang" +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) + +#elif defined(__BORLANDC__) && defined(__CODEGEARC_VERSION__) +# define COMPILER_ID "Embarcadero" +# define COMPILER_VERSION_MAJOR HEX(__CODEGEARC_VERSION__>>24 & 0x00FF) +# define COMPILER_VERSION_MINOR HEX(__CODEGEARC_VERSION__>>16 & 0x00FF) +# define COMPILER_VERSION_PATCH HEX(__CODEGEARC_VERSION__ & 0xFFFF) + +#elif defined(__BORLANDC__) +# define COMPILER_ID "Borland" + /* __BORLANDC__ = 0xVRR */ +# define COMPILER_VERSION_MAJOR HEX(__BORLANDC__>>8) +# define COMPILER_VERSION_MINOR HEX(__BORLANDC__ & 0xFF) + +#elif defined(__WATCOMC__) +# define COMPILER_ID "Watcom" + /* __WATCOMC__ = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(__WATCOMC__ / 100) +# define COMPILER_VERSION_MINOR DEC(__WATCOMC__ % 100) + +#elif defined(__SUNPRO_CC) +# define COMPILER_ID "SunPro" +# if __SUNPRO_CC >= 0x5100 + /* __SUNPRO_CC = 0xVRRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>12) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC & 0xF) +# else + /* __SUNPRO_CC = 0xVRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>8) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC & 0xF) +# endif + +#elif defined(__HP_aCC) +# define COMPILER_ID "HP" + /* __HP_aCC = VVRRPP */ +# define COMPILER_VERSION_MAJOR DEC(__HP_aCC/10000) +# define COMPILER_VERSION_MINOR DEC(__HP_aCC/100 % 100) +# define COMPILER_VERSION_PATCH DEC(__HP_aCC % 100) + +#elif defined(__DECCXX) +# define COMPILER_ID "Compaq" + /* __DECCXX_VER = VVRRTPPPP */ +# define COMPILER_VERSION_MAJOR DEC(__DECCXX_VER/10000000) +# define COMPILER_VERSION_MINOR DEC(__DECCXX_VER/100000 % 100) +# define COMPILER_VERSION_PATCH DEC(__DECCXX_VER % 10000) + +#elif defined(__IBMCPP__) +# if defined(__COMPILER_VER__) +# define COMPILER_ID "zOS" +# else +# if __IBMCPP__ >= 800 +# define COMPILER_ID "XL" +# else +# define COMPILER_ID "VisualAge" +# endif + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) +# endif + +#elif defined(__PGI) +# define COMPILER_ID "PGI" +# define COMPILER_VERSION_MAJOR DEC(__PGIC__) +# define COMPILER_VERSION_MINOR DEC(__PGIC_MINOR__) +# if defined(__PGIC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__PGIC_PATCHLEVEL__) +# endif + +#elif defined(_CRAYC) +# define COMPILER_ID "Cray" +# define COMPILER_VERSION_MAJOR DEC(_RELEASE) +# define COMPILER_VERSION_MINOR DEC(_RELEASE_MINOR) + +#elif defined(__TI_COMPILER_VERSION__) +# define COMPILER_ID "TI" + /* __TI_COMPILER_VERSION__ = VVVRRRPPP */ +# define COMPILER_VERSION_MAJOR DEC(__TI_COMPILER_VERSION__/1000000) +# define COMPILER_VERSION_MINOR DEC(__TI_COMPILER_VERSION__/1000 % 1000) +# define COMPILER_VERSION_PATCH DEC(__TI_COMPILER_VERSION__ % 1000) + +#elif defined(__SCO_VERSION__) +# define COMPILER_ID "SCO" + +#elif defined(__GNUC__) +# define COMPILER_ID "GNU" +# define COMPILER_VERSION_MAJOR DEC(__GNUC__) +# define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__) +# if defined(__GNUC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif + +#elif defined(_MSC_VER) +# define COMPILER_ID "MSVC" + /* _MSC_VER = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100) +# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100) +# if defined(_MSC_FULL_VER) +# if _MSC_VER >= 1400 + /* _MSC_FULL_VER = VVRRPPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000) +# else + /* _MSC_FULL_VER = VVRRPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000) +# endif +# endif +# if defined(_MSC_BUILD) +# define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD) +# endif + +/* Analog VisualDSP++ >= 4.5.6 */ +#elif defined(__VISUALDSPVERSION__) +# define COMPILER_ID "ADSP" + /* __VISUALDSPVERSION__ = 0xVVRRPP00 */ +# define COMPILER_VERSION_MAJOR HEX(__VISUALDSPVERSION__>>24) +# define COMPILER_VERSION_MINOR HEX(__VISUALDSPVERSION__>>16 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__VISUALDSPVERSION__>>8 & 0xFF) + +/* Analog VisualDSP++ < 4.5.6 */ +#elif defined(__ADSPBLACKFIN__) || defined(__ADSPTS__) || defined(__ADSP21000__) +# define COMPILER_ID "ADSP" + +#elif defined(_SGI_COMPILER_VERSION) || defined(_COMPILER_VERSION) +# define COMPILER_ID "MIPSpro" +# if defined(_SGI_COMPILER_VERSION) + /* _SGI_COMPILER_VERSION = VRP */ +# define COMPILER_VERSION_MAJOR DEC(_SGI_COMPILER_VERSION/100) +# define COMPILER_VERSION_MINOR DEC(_SGI_COMPILER_VERSION/10 % 10) +# define COMPILER_VERSION_PATCH DEC(_SGI_COMPILER_VERSION % 10) +# else + /* _COMPILER_VERSION = VRP */ +# define COMPILER_VERSION_MAJOR DEC(_COMPILER_VERSION/100) +# define COMPILER_VERSION_MINOR DEC(_COMPILER_VERSION/10 % 10) +# define COMPILER_VERSION_PATCH DEC(_COMPILER_VERSION % 10) +# endif + +/* This compiler is either not known or is too old to define an + identification macro. Try to identify the platform and guess that + it is the native compiler. */ +#elif defined(__sgi) +# define COMPILER_ID "MIPSpro" + +#elif defined(__hpux) || defined(__hpua) +# define COMPILER_ID "HP" + +#else /* unknown compiler */ +# define COMPILER_ID "" + +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]"; + +/* Identify known platforms by name. */ +#if defined(__linux) || defined(__linux__) || defined(linux) +# define PLATFORM_ID "Linux" + +#elif defined(__CYGWIN__) +# define PLATFORM_ID "Cygwin" + +#elif defined(__MINGW32__) +# define PLATFORM_ID "MinGW" + +#elif defined(__APPLE__) +# define PLATFORM_ID "Darwin" + +#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32) +# define PLATFORM_ID "Windows" + +#elif defined(__FreeBSD__) || defined(__FreeBSD) +# define PLATFORM_ID "FreeBSD" + +#elif defined(__NetBSD__) || defined(__NetBSD) +# define PLATFORM_ID "NetBSD" + +#elif defined(__OpenBSD__) || defined(__OPENBSD) +# define PLATFORM_ID "OpenBSD" + +#elif defined(__sun) || defined(sun) +# define PLATFORM_ID "SunOS" + +#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__) +# define PLATFORM_ID "AIX" + +#elif defined(__sgi) || defined(__sgi__) || defined(_SGI) +# define PLATFORM_ID "IRIX" + +#elif defined(__hpux) || defined(__hpux__) +# define PLATFORM_ID "HP-UX" + +#elif defined(__HAIKU__) +# define PLATFORM_ID "Haiku" + +#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS) +# define PLATFORM_ID "BeOS" + +#elif defined(__QNX__) || defined(__QNXNTO__) +# define PLATFORM_ID "QNX" + +#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__) +# define PLATFORM_ID "Tru64" + +#elif defined(__riscos) || defined(__riscos__) +# define PLATFORM_ID "RISCos" + +#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__) +# define PLATFORM_ID "SINIX" + +#elif defined(__UNIX_SV__) +# define PLATFORM_ID "UNIX_SV" + +#elif defined(__bsdos__) +# define PLATFORM_ID "BSDOS" + +#elif defined(_MPRAS) || defined(MPRAS) +# define PLATFORM_ID "MP-RAS" + +#elif defined(__osf) || defined(__osf__) +# define PLATFORM_ID "OSF1" + +#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv) +# define PLATFORM_ID "SCO_SV" + +#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX) +# define PLATFORM_ID "ULTRIX" + +#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX) +# define PLATFORM_ID "Xenix" + +#else /* unknown platform */ +# define PLATFORM_ID "" + +#endif + +/* For windows compilers MSVC and Intel we can determine + the architecture of the compiler being used. This is because + the compilers do not have flags that can change the architecture, + but rather depend on which compiler is being used +*/ +#if defined(_WIN32) && defined(_MSC_VER) +# if defined(_M_IA64) +# define ARCHITECTURE_ID "IA64" + +# elif defined(_M_X64) || defined(_M_AMD64) +# define ARCHITECTURE_ID "x64" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# elif defined(_M_ARM) +# define ARCHITECTURE_ID "ARM" + +# elif defined(_M_MIPS) +# define ARCHITECTURE_ID "MIPS" + +# elif defined(_M_SH) +# define ARCHITECTURE_ID "SHx" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#else +# define ARCHITECTURE_ID "" +#endif + +/* Convert integer to decimal digit literals. */ +#define DEC(n) \ + ('0' + (((n) / 10000000)%10)), \ + ('0' + (((n) / 1000000)%10)), \ + ('0' + (((n) / 100000)%10)), \ + ('0' + (((n) / 10000)%10)), \ + ('0' + (((n) / 1000)%10)), \ + ('0' + (((n) / 100)%10)), \ + ('0' + (((n) / 10)%10)), \ + ('0' + ((n) % 10)) + +/* Convert integer to hex digit literals. */ +#define HEX(n) \ + ('0' + ((n)>>28 & 0xF)), \ + ('0' + ((n)>>24 & 0xF)), \ + ('0' + ((n)>>20 & 0xF)), \ + ('0' + ((n)>>16 & 0xF)), \ + ('0' + ((n)>>12 & 0xF)), \ + ('0' + ((n)>>8 & 0xF)), \ + ('0' + ((n)>>4 & 0xF)), \ + ('0' + ((n) & 0xF)) + +/* Construct a string literal encoding the version number components. */ +#ifdef COMPILER_VERSION_MAJOR +char const info_version[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[', + COMPILER_VERSION_MAJOR, +# ifdef COMPILER_VERSION_MINOR + '.', COMPILER_VERSION_MINOR, +# ifdef COMPILER_VERSION_PATCH + '.', COMPILER_VERSION_PATCH, +# ifdef COMPILER_VERSION_TWEAK + '.', COMPILER_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]"; +char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]"; + + + +/*--------------------------------------------------------------------------*/ + +int main(int argc, char* argv[]) +{ + int require = 0; + require += info_compiler[argc]; + require += info_platform[argc]; +#ifdef COMPILER_VERSION_MAJOR + require += info_version[argc]; +#endif + (void)argv; + return require; +} diff --git a/modules/highgui/CMakeLists.txt b/modules/highgui/CMakeLists.txt index 824466095..aec364a00 100644 --- a/modules/highgui/CMakeLists.txt +++ b/modules/highgui/CMakeLists.txt @@ -55,6 +55,8 @@ file(GLOB grfmt_hdrs src/grfmt*.hpp) file(GLOB grfmt_srcs src/grfmt*.cpp) list(APPEND grfmt_hdrs src/bitstrm.hpp) list(APPEND grfmt_srcs src/bitstrm.cpp) +list(APPEND grfmt_hdrs src/rgbe.hpp) +list(APPEND grfmt_srcs src/rgbe.cpp) source_group("Src\\grfmts" FILES ${grfmt_hdrs} ${grfmt_srcs}) diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp new file mode 100644 index 000000000..a5aab3057 --- /dev/null +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -0,0 +1,152 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "grfmt_hdr.hpp" +#include "rgbe.hpp" + +namespace cv +{ +HdrDecoder::HdrDecoder() +{ + m_signature = "#?RGBE"; + m_signature_alt = "#?RADIANCE"; + file = NULL; + m_type = CV_32FC3; +} + +HdrDecoder::~HdrDecoder() +{ +} + +size_t HdrDecoder::signatureLength() const +{ + return m_signature.size() > m_signature_alt.size() ? + m_signature.size() : m_signature_alt.size(); +} + +bool HdrDecoder::readHeader() +{ + file = fopen(m_filename.c_str(), "rb"); + if(!file) { + CV_Error(Error::StsError, "HDR decoder: can't open file"); + } + RGBE_ReadHeader(file, &m_width, &m_height, NULL); + if(m_width <= 0 || m_height <= 0) { + CV_Error(Error::StsError, "HDR decoder: invalid image size"); + } + return true; +} + +bool HdrDecoder::readData(Mat& img) +{ + if(!file) { + readHeader(); + } + if(img.cols != m_width || img.rows != m_height || + img.type() != CV_32FC3) { + CV_Error(Error::StsError, "HDR decoder: bad mat"); + } + RGBE_ReadPixels_RLE(file, const_cast(img.ptr()), img.cols, img.rows); + fclose(file); file = NULL; + return true; +} + +bool HdrDecoder::checkSignature( const String& signature ) const +{ + if(signature.size() >= (m_signature.size()) && + !memcmp(signature.c_str(), m_signature.c_str(), m_signature.size())) + return true; + if(signature.size() >= (m_signature.size()) && + !memcmp(signature.c_str(), m_signature_alt.c_str(), m_signature_alt.size())) + return true; + return false; +} + +ImageDecoder HdrDecoder::newDecoder() const +{ + return new HdrDecoder; +} + +HdrEncoder::HdrEncoder() +{ + m_description = "Radiance HDR (*.hdr;*.pic)"; +} + +HdrEncoder::~HdrEncoder() +{ +} + +bool HdrEncoder::write( const Mat& img, const std::vector& params ) +{ + if(img.type() != CV_32FC3) { + CV_Error(Error::StsBadArg, "HDR encoder: need 32FC3 mat"); + } + if(!(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE)) { + CV_Error(Error::StsBadArg, "HDR encoder: wrong compression param"); + } + + FILE *fout = fopen(m_filename.c_str(), "wb"); + if(!fout) { + CV_Error(Error::StsError, "HDR encoder: can't open file"); + } + + RGBE_WriteHeader(fout, img.cols, img.rows, NULL); + if(params.empty() || params[0] == HDR_RLE) { + RGBE_WritePixels_RLE(fout, const_cast(img.ptr()), img.cols, img.rows); + } else { + RGBE_WritePixels(fout, const_cast(img.ptr()), img.cols * img.rows); + } + + fclose(fout); + return true; +} + +ImageEncoder HdrEncoder::newEncoder() const +{ + return new HdrEncoder; +} + +bool HdrEncoder::isFormatSupported( int depth ) const { + return depth == CV_32F; +} + +} diff --git a/modules/highgui/src/grfmt_hdr.hpp b/modules/highgui/src/grfmt_hdr.hpp new file mode 100644 index 000000000..526778259 --- /dev/null +++ b/modules/highgui/src/grfmt_hdr.hpp @@ -0,0 +1,88 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#ifndef _GRFMT_HDR_H_ +#define _GRFMT_HDR_H_ + +#include "grfmt_base.hpp" + +namespace cv +{ + +enum HdrCompression +{ + HDR_NONE = 0, + HDR_RLE = 1 +}; + +// Radiance rgbe (.hdr) reader +class HdrDecoder : public BaseImageDecoder +{ +public: + HdrDecoder(); + ~HdrDecoder(); + bool readHeader(); + bool readData( Mat& img ); + bool checkSignature( const String& signature ) const; + ImageDecoder newDecoder() const; + size_t signatureLength() const; +protected: + String m_signature_alt; + FILE *file; +}; + +// ... writer +class HdrEncoder : public BaseImageEncoder +{ +public: + HdrEncoder(); + ~HdrEncoder(); + bool write( const Mat& img, const std::vector& params ); + ImageEncoder newEncoder() const; + bool isFormatSupported( int depth ) const; +protected: + +}; + +} + +#endif/*_GRFMT_HDR_H_*/ \ No newline at end of file diff --git a/modules/highgui/src/grfmt_tiff.cpp b/modules/highgui/src/grfmt_tiff.cpp index a0d53f3db..51d17cee7 100644 --- a/modules/highgui/src/grfmt_tiff.cpp +++ b/modules/highgui/src/grfmt_tiff.cpp @@ -71,6 +71,7 @@ TiffDecoder::TiffDecoder() TIFFSetErrorHandler( GrFmtSilentTIFFErrorHandler ); TIFFSetWarningHandler( GrFmtSilentTIFFErrorHandler ); } + m_hdr = false; } @@ -133,6 +134,14 @@ bool TiffDecoder::readHeader() m_width = wdth; m_height = hght; + if((bpp == 32 && ncn == 3) || photometric == PHOTOMETRIC_LOGLUV) + { + m_type = CV_32FC3; + m_hdr = true; + return true; + } + m_hdr = false; + if( bpp > 8 && ((photometric != 2 && photometric != 1) || (ncn != 1 && ncn != 3 && ncn != 4))) @@ -171,6 +180,10 @@ bool TiffDecoder::readHeader() bool TiffDecoder::readData( Mat& img ) { + if(m_hdr && img.type() == CV_32FC3) + { + return readHdrData(img); + } bool result = false; bool color = img.channels() > 1; uchar* data = img.data; @@ -380,6 +393,46 @@ bool TiffDecoder::readData( Mat& img ) return result; } +bool TiffDecoder::readHdrData(Mat& img) +{ + int rows_per_strip = 0, photometric = 0; + if(!m_tif) + { + return false; + } + TIFF *tif = static_cast(m_tif); + TIFFGetField(tif, TIFFTAG_ROWSPERSTRIP, &rows_per_strip); + TIFFGetField( tif, TIFFTAG_PHOTOMETRIC, &photometric ); + TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT); + int size = 3 * m_width * m_height * sizeof (float); + int strip_size = 3 * m_width * rows_per_strip; + float *ptr = img.ptr(); + for (size_t i = 0; i < TIFFNumberOfStrips(tif); i++, ptr += strip_size) + { + TIFFReadEncodedStrip(tif, i, ptr, size); + size -= strip_size * sizeof(float); + } + close(); + ptr = img.ptr(); + for(size_t i = 0; i < img.total(); i++, ptr += 3) + { + if(photometric == PHOTOMETRIC_LOGLUV) + { + float r = 3.240479f * ptr[0] + -1.537150f * ptr[1] + -0.498535f * ptr[2]; + float g = -0.969256f * ptr[0] + 1.875991f * ptr[1] + 0.041556f * ptr[2]; + float b = 0.055648f * ptr[0] + -0.204043f * ptr[1] + 1.057311f * ptr[2]; + ptr[0] = b; ptr[1] = g; ptr[2] = r; + } + else + { + float tmp = ptr[0]; + ptr[0] = ptr[2]; + ptr[2] = tmp; + } + } + return true; +} + #endif ////////////////////////////////////////////////////////////////////////////////////////// @@ -405,7 +458,11 @@ ImageEncoder TiffEncoder::newEncoder() const bool TiffEncoder::isFormatSupported( int depth ) const { - return depth == CV_8U || depth == CV_16U; +#ifdef HAVE_TIFF + return depth == CV_8U || depth == CV_16U || depth == CV_32F; +#else + return depth == CV_8U || depth == CV_16U; +#endif } void TiffEncoder::writeTag( WLByteStream& strm, TiffTag tag, @@ -557,6 +614,39 @@ bool TiffEncoder::writeLibTiff( const Mat& img, const std::vector& params) return true; } +bool TiffEncoder::writeHdr(const Mat& img) +{ + float *ptr = const_cast(img.ptr()); + for(size_t i = 0; i < img.total(); i++, ptr += 3) + { + float x = 0.412453f * ptr[2] + 0.357580f * ptr[1] + 0.180423f * ptr[0]; + float y = 0.212671f * ptr[2] + 0.715160f * ptr[1] + 0.072169f * ptr[0]; + float z = 0.019334f * ptr[2] + 0.119193f * ptr[1] + 0.950227f * ptr[0]; + ptr[0] = x; ptr[1] = y; ptr[2] = z; + } + TIFF* tif = TIFFOpen(m_filename.c_str(), "w"); + if (!tif) + { + return false; + } + TIFFSetField(tif, TIFFTAG_IMAGEWIDTH, img.cols); + TIFFSetField(tif, TIFFTAG_IMAGELENGTH, img.rows); + TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, 3); + TIFFSetField(tif, TIFFTAG_COMPRESSION, COMPRESSION_SGILOG); + TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, PHOTOMETRIC_LOGLUV); + TIFFSetField(tif, TIFFTAG_PLANARCONFIG, PLANARCONFIG_CONTIG); + TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT); + TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, 1); + int strip_size = 3 * img.cols; + ptr = const_cast(img.ptr()); + for (int i = 0; i < img.rows; i++, ptr += strip_size) + { + TIFFWriteEncodedStrip(tif, i, ptr, strip_size * sizeof(float)); + } + TIFFClose(tif); + return true; +} + #endif #ifdef HAVE_TIFF @@ -568,6 +658,12 @@ bool TiffEncoder::write( const Mat& img, const std::vector& /*params*/) int channels = img.channels(); int width = img.cols, height = img.rows; int depth = img.depth(); +#ifdef HAVE_TIFF + if(img.type() == CV_32FC3) + { + return writeHdr(img); + } +#endif if (depth != CV_8U && depth != CV_16U) return false; diff --git a/modules/highgui/src/grfmt_tiff.hpp b/modules/highgui/src/grfmt_tiff.hpp index d3745a9f8..b6f7fa099 100644 --- a/modules/highgui/src/grfmt_tiff.hpp +++ b/modules/highgui/src/grfmt_tiff.hpp @@ -53,7 +53,7 @@ enum TiffCompression { TIFF_UNCOMP = 1, TIFF_HUFFMAN = 2, - TIFF_PACKBITS = 32773 + TIFF_PACKBITS = 32773, }; enum TiffByteOrder @@ -108,6 +108,8 @@ public: protected: void* m_tif; int normalizeChannelsNumber(int channels) const; + bool readHdrData(Mat& img); + bool m_hdr; }; #endif @@ -130,6 +132,7 @@ protected: int count, int value ); bool writeLibTiff( const Mat& img, const std::vector& params ); + bool writeHdr( const Mat& img ); }; } diff --git a/modules/highgui/src/grfmts.hpp b/modules/highgui/src/grfmts.hpp index 659ceb76f..799a4758a 100644 --- a/modules/highgui/src/grfmts.hpp +++ b/modules/highgui/src/grfmts.hpp @@ -52,5 +52,6 @@ #include "grfmt_jpeg2000.hpp" #include "grfmt_exr.hpp" #include "grfmt_webp.hpp" +#include "grfmt_hdr.hpp" #endif/*_GRFMTS_H_*/ diff --git a/modules/highgui/src/loadsave.cpp b/modules/highgui/src/loadsave.cpp index a548df54d..c75691698 100644 --- a/modules/highgui/src/loadsave.cpp +++ b/modules/highgui/src/loadsave.cpp @@ -47,6 +47,7 @@ #include "grfmts.hpp" #undef min #undef max +#include /****************************************************************************************\ * Image Codecs * @@ -60,6 +61,8 @@ struct ImageCodecInitializer { decoders.push_back( new BmpDecoder ); encoders.push_back( new BmpEncoder ); + decoders.push_back( new HdrDecoder ); + encoders.push_back( new HdrEncoder ); #ifdef HAVE_JPEG decoders.push_back( new JpegDecoder ); encoders.push_back( new JpegEncoder ); @@ -203,7 +206,6 @@ imread_( const String& filename, int flags, int hdrtype, Mat* mat=0 ) decoder->setSource(filename); if( !decoder->readHeader() ) return 0; - CvSize size; size.width = decoder->width(); size.height = decoder->height(); @@ -271,7 +273,6 @@ static bool imwrite_( const String& filename, const Mat& image, ImageEncoder encoder = findEncoder( filename ); if( encoder.empty() ) CV_Error( CV_StsError, "could not find a writer for the specified extension" ); - if( !encoder->isFormatSupported(image.depth()) ) { CV_Assert( encoder->isFormatSupported(CV_8U) ); diff --git a/modules/highgui/src/rgbe.cpp b/modules/highgui/src/rgbe.cpp new file mode 100644 index 000000000..2403be71e --- /dev/null +++ b/modules/highgui/src/rgbe.cpp @@ -0,0 +1,450 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "rgbe.hpp" +#include +#include +#include +#include + +// This file contains code to read and write four byte rgbe file format +// developed by Greg Ward. It handles the conversions between rgbe and +// pixels consisting of floats. The data is assumed to be an array of floats. +// By default there are three floats per pixel in the order red, green, blue. +// (RGBE_DATA_??? values control this.) Only the mimimal header reading and +// writing is implemented. Each routine does error checking and will return +// a status value as defined below. This code is intended as a skeleton so +// feel free to modify it to suit your needs. + +// Some opencv specific changes have been added: +// inline define specified, channel order changed (to ger bgr by default), +// error handler uses CV_Error. +// +// posted to http://www.graphics.cornell.edu/~bjw/ +// written by Bruce Walter (bjw@graphics.cornell.edu) 5/26/95 +// based on code written by Greg Ward + +#define INLINE inline + +/* offsets to red, green, and blue components in a data (float) pixel */ +#define RGBE_DATA_RED 2 +#define RGBE_DATA_GREEN 1 +#define RGBE_DATA_BLUE 0 +/* number of floats per pixel */ +#define RGBE_DATA_SIZE 3 + +enum rgbe_error_codes { + rgbe_read_error, + rgbe_write_error, + rgbe_format_error, + rgbe_memory_error, +}; + +/* default error routine. change this to change error handling */ +static int rgbe_error(int rgbe_error_code, char *msg) +{ + switch (rgbe_error_code) { + case rgbe_read_error: + CV_Error(cv::Error::StsError, "RGBE read error"); + break; + case rgbe_write_error: + CV_Error(cv::Error::StsError, "RGBE write error"); + break; + case rgbe_format_error: + CV_Error(cv::Error::StsError, cv::String("RGBE bad file format: ") + + cv::String(msg)); + break; + default: + case rgbe_memory_error: + CV_Error(cv::Error::StsError, cv::String("RGBE error: \n") + + cv::String(msg)); + } + return RGBE_RETURN_FAILURE; +} + +/* standard conversion from float pixels to rgbe pixels */ +/* note: you can remove the "inline"s if your compiler complains about it */ +static INLINE void +float2rgbe(unsigned char rgbe[4], float red, float green, float blue) +{ + float v; + int e; + + v = red; + if (green > v) v = green; + if (blue > v) v = blue; + if (v < 1e-32) { + rgbe[0] = rgbe[1] = rgbe[2] = rgbe[3] = 0; + } + else { + v = frexp(v,&e) * 256.0/v; + rgbe[0] = (unsigned char) (red * v); + rgbe[1] = (unsigned char) (green * v); + rgbe[2] = (unsigned char) (blue * v); + rgbe[3] = (unsigned char) (e + 128); + } +} + +/* standard conversion from rgbe to float pixels */ +/* note: Ward uses ldexp(col+0.5,exp-(128+8)). However we wanted pixels */ +/* in the range [0,1] to map back into the range [0,1]. */ +static INLINE void +rgbe2float(float *red, float *green, float *blue, unsigned char rgbe[4]) +{ + float f; + + if (rgbe[3]) { /*nonzero pixel*/ + f = ldexp(1.0,rgbe[3]-(int)(128+8)); + *red = rgbe[0] * f; + *green = rgbe[1] * f; + *blue = rgbe[2] * f; + } + else + *red = *green = *blue = 0.0; +} + +/* default minimal header. modify if you want more information in header */ +int RGBE_WriteHeader(FILE *fp, int width, int height, rgbe_header_info *info) +{ + char *programtype = "RGBE"; + + if (info && (info->valid & RGBE_VALID_PROGRAMTYPE)) + programtype = info->programtype; + if (fprintf(fp,"#?%s\n",programtype) < 0) + return rgbe_error(rgbe_write_error,NULL); + /* The #? is to identify file type, the programtype is optional. */ + if (info && (info->valid & RGBE_VALID_GAMMA)) { + if (fprintf(fp,"GAMMA=%g\n",info->gamma) < 0) + return rgbe_error(rgbe_write_error,NULL); + } + if (info && (info->valid & RGBE_VALID_EXPOSURE)) { + if (fprintf(fp,"EXPOSURE=%g\n",info->exposure) < 0) + return rgbe_error(rgbe_write_error,NULL); + } + if (fprintf(fp,"FORMAT=32-bit_rle_rgbe\n\n") < 0) + return rgbe_error(rgbe_write_error,NULL); + if (fprintf(fp, "-Y %d +X %d\n", height, width) < 0) + return rgbe_error(rgbe_write_error,NULL); + return RGBE_RETURN_SUCCESS; +} + +/* minimal header reading. modify if you want to parse more information */ +int RGBE_ReadHeader(FILE *fp, int *width, int *height, rgbe_header_info *info) +{ + char buf[128]; + int found_format; + float tempf; + int i; + + found_format = 0; + if (info) { + info->valid = 0; + info->programtype[0] = 0; + info->gamma = info->exposure = 1.0; + } + if (fgets(buf,sizeof(buf)/sizeof(buf[0]),fp) == NULL) + return rgbe_error(rgbe_read_error,NULL); + if ((buf[0] != '#')||(buf[1] != '?')) { + /* if you want to require the magic token then uncomment the next line */ + /*return rgbe_error(rgbe_format_error,"bad initial token"); */ + } + else if (info) { + info->valid |= RGBE_VALID_PROGRAMTYPE; + for(i=0;iprogramtype)-1;i++) { + if ((buf[i+2] == 0) || isspace(buf[i+2])) + break; + info->programtype[i] = buf[i+2]; + } + info->programtype[i] = 0; + if (fgets(buf,sizeof(buf)/sizeof(buf[0]),fp) == 0) + return rgbe_error(rgbe_read_error,NULL); + } + for(;;) { + if ((buf[0] == 0)||(buf[0] == '\n')) + return rgbe_error(rgbe_format_error,"no FORMAT specifier found"); + else if (strcmp(buf,"FORMAT=32-bit_rle_rgbe\n") == 0) + break; /* format found so break out of loop */ + else if (info && (sscanf(buf,"GAMMA=%g",&tempf) == 1)) { + info->gamma = tempf; + info->valid |= RGBE_VALID_GAMMA; + } + else if (info && (sscanf(buf,"EXPOSURE=%g",&tempf) == 1)) { + info->exposure = tempf; + info->valid |= RGBE_VALID_EXPOSURE; + } + if (fgets(buf,sizeof(buf)/sizeof(buf[0]),fp) == 0) + return rgbe_error(rgbe_read_error,NULL); + } + if (fgets(buf,sizeof(buf)/sizeof(buf[0]),fp) == 0) + return rgbe_error(rgbe_read_error,NULL); + if (strcmp(buf,"\n") != 0) + return rgbe_error(rgbe_format_error, + "missing blank line after FORMAT specifier"); + if (fgets(buf,sizeof(buf)/sizeof(buf[0]),fp) == 0) + return rgbe_error(rgbe_read_error,NULL); + if (sscanf(buf,"-Y %d +X %d",height,width) < 2) + return rgbe_error(rgbe_format_error,"missing image size specifier"); + return RGBE_RETURN_SUCCESS; +} + +/* simple write routine that does not use run length encoding */ +/* These routines can be made faster by allocating a larger buffer and + fread-ing and fwrite-ing the data in larger chunks */ +int RGBE_WritePixels(FILE *fp, float *data, int numpixels) +{ + unsigned char rgbe[4]; + + while (numpixels-- > 0) { + float2rgbe(rgbe,data[RGBE_DATA_RED], + data[RGBE_DATA_GREEN],data[RGBE_DATA_BLUE]); + data += RGBE_DATA_SIZE; + if (fwrite(rgbe, sizeof(rgbe), 1, fp) < 1) + return rgbe_error(rgbe_write_error,NULL); + } + return RGBE_RETURN_SUCCESS; +} + +/* simple read routine. will not correctly handle run length encoding */ +int RGBE_ReadPixels(FILE *fp, float *data, int numpixels) +{ + unsigned char rgbe[4]; + + while(numpixels-- > 0) { + if (fread(rgbe, sizeof(rgbe), 1, fp) < 1) + return rgbe_error(rgbe_read_error,NULL); + rgbe2float(&data[RGBE_DATA_RED],&data[RGBE_DATA_GREEN], + &data[RGBE_DATA_BLUE],rgbe); + data += RGBE_DATA_SIZE; + } + return RGBE_RETURN_SUCCESS; +} + +/* The code below is only needed for the run-length encoded files. */ +/* Run length encoding adds considerable complexity but does */ +/* save some space. For each scanline, each channel (r,g,b,e) is */ +/* encoded separately for better compression. */ + +static int RGBE_WriteBytes_RLE(FILE *fp, unsigned char *data, int numbytes) +{ +#define MINRUNLENGTH 4 + int cur, beg_run, run_count, old_run_count, nonrun_count; + unsigned char buf[2]; + + cur = 0; + while(cur < numbytes) { + beg_run = cur; + /* find next run of length at least 4 if one exists */ + run_count = old_run_count = 0; + while((run_count < MINRUNLENGTH) && (beg_run < numbytes)) { + beg_run += run_count; + old_run_count = run_count; + run_count = 1; + while( (beg_run + run_count < numbytes) && (run_count < 127) + && (data[beg_run] == data[beg_run + run_count])) + run_count++; + } + /* if data before next big run is a short run then write it as such */ + if ((old_run_count > 1)&&(old_run_count == beg_run - cur)) { + buf[0] = 128 + old_run_count; /*write short run*/ + buf[1] = data[cur]; + if (fwrite(buf,sizeof(buf[0])*2,1,fp) < 1) + return rgbe_error(rgbe_write_error,NULL); + cur = beg_run; + } + /* write out bytes until we reach the start of the next run */ + while(cur < beg_run) { + nonrun_count = beg_run - cur; + if (nonrun_count > 128) + nonrun_count = 128; + buf[0] = nonrun_count; + if (fwrite(buf,sizeof(buf[0]),1,fp) < 1) + return rgbe_error(rgbe_write_error,NULL); + if (fwrite(&data[cur],sizeof(data[0])*nonrun_count,1,fp) < 1) + return rgbe_error(rgbe_write_error,NULL); + cur += nonrun_count; + } + /* write out next run if one was found */ + if (run_count >= MINRUNLENGTH) { + buf[0] = 128 + run_count; + buf[1] = data[beg_run]; + if (fwrite(buf,sizeof(buf[0])*2,1,fp) < 1) + return rgbe_error(rgbe_write_error,NULL); + cur += run_count; + } + } + return RGBE_RETURN_SUCCESS; +#undef MINRUNLENGTH +} + +int RGBE_WritePixels_RLE(FILE *fp, float *data, int scanline_width, + int num_scanlines) +{ + unsigned char rgbe[4]; + unsigned char *buffer; + int i, err; + + if ((scanline_width < 8)||(scanline_width > 0x7fff)) + /* run length encoding is not allowed so write flat*/ + return RGBE_WritePixels(fp,data,scanline_width*num_scanlines); + buffer = (unsigned char *)malloc(sizeof(unsigned char)*4*scanline_width); + if (buffer == NULL) + /* no buffer space so write flat */ + return RGBE_WritePixels(fp,data,scanline_width*num_scanlines); + while(num_scanlines-- > 0) { + rgbe[0] = 2; + rgbe[1] = 2; + rgbe[2] = scanline_width >> 8; + rgbe[3] = scanline_width & 0xFF; + if (fwrite(rgbe, sizeof(rgbe), 1, fp) < 1) { + free(buffer); + return rgbe_error(rgbe_write_error,NULL); + } + for(i=0;i 0x7fff)) + /* run length encoding is not allowed so read flat*/ + return RGBE_ReadPixels(fp,data,scanline_width*num_scanlines); + scanline_buffer = NULL; + /* read in each successive scanline */ + while(num_scanlines > 0) { + if (fread(rgbe,sizeof(rgbe),1,fp) < 1) { + free(scanline_buffer); + return rgbe_error(rgbe_read_error,NULL); + } + if ((rgbe[0] != 2)||(rgbe[1] != 2)||(rgbe[2] & 0x80)) { + /* this file is not run length encoded */ + rgbe2float(&data[0],&data[1],&data[2],rgbe); + data += RGBE_DATA_SIZE; + free(scanline_buffer); + return RGBE_ReadPixels(fp,data,scanline_width*num_scanlines-1); + } + if ((((int)rgbe[2])<<8 | rgbe[3]) != scanline_width) { + free(scanline_buffer); + return rgbe_error(rgbe_format_error,"wrong scanline width"); + } + if (scanline_buffer == NULL) + scanline_buffer = (unsigned char *) + malloc(sizeof(unsigned char)*4*scanline_width); + if (scanline_buffer == NULL) + return rgbe_error(rgbe_memory_error,"unable to allocate buffer space"); + + ptr = &scanline_buffer[0]; + /* read each of the four channels for the scanline into the buffer */ + for(i=0;i<4;i++) { + ptr_end = &scanline_buffer[(i+1)*scanline_width]; + while(ptr < ptr_end) { + if (fread(buf,sizeof(buf[0])*2,1,fp) < 1) { + free(scanline_buffer); + return rgbe_error(rgbe_read_error,NULL); + } + if (buf[0] > 128) { + /* a run of the same value */ + count = buf[0]-128; + if ((count == 0)||(count > ptr_end - ptr)) { + free(scanline_buffer); + return rgbe_error(rgbe_format_error,"bad scanline data"); + } + while(count-- > 0) + *ptr++ = buf[1]; + } + else { + /* a non-run */ + count = buf[0]; + if ((count == 0)||(count > ptr_end - ptr)) { + free(scanline_buffer); + return rgbe_error(rgbe_format_error,"bad scanline data"); + } + *ptr++ = buf[1]; + if (--count > 0) { + if (fread(ptr,sizeof(*ptr)*count,1,fp) < 1) { + free(scanline_buffer); + return rgbe_error(rgbe_read_error,NULL); + } + ptr += count; + } + } + } + } + /* now convert data from buffer into floats */ + for(i=0;i + +typedef struct { + int valid; /* indicate which fields are valid */ + char programtype[16]; /* listed at beginning of file to identify it + * after "#?". defaults to "RGBE" */ + float gamma; /* image has already been gamma corrected with + * given gamma. defaults to 1.0 (no correction) */ + float exposure; /* a value of 1.0 in an image corresponds to + * watts/steradian/m^2. + * defaults to 1.0 */ +} rgbe_header_info; + +/* flags indicating which fields in an rgbe_header_info are valid */ +#define RGBE_VALID_PROGRAMTYPE 0x01 +#define RGBE_VALID_GAMMA 0x02 +#define RGBE_VALID_EXPOSURE 0x04 + +/* return codes for rgbe routines */ +#define RGBE_RETURN_SUCCESS 0 +#define RGBE_RETURN_FAILURE -1 + +/* read or write headers */ +/* you may set rgbe_header_info to null if you want to */ +int RGBE_WriteHeader(FILE *fp, int width, int height, rgbe_header_info *info); +int RGBE_ReadHeader(FILE *fp, int *width, int *height, rgbe_header_info *info); + +/* read or write pixels */ +/* can read or write pixels in chunks of any size including single pixels*/ +int RGBE_WritePixels(FILE *fp, float *data, int numpixels); +int RGBE_ReadPixels(FILE *fp, float *data, int numpixels); + +/* read or write run length encoded files */ +/* must be called to read or write whole scanlines */ +int RGBE_WritePixels_RLE(FILE *fp, float *data, int scanline_width, + int num_scanlines); +int RGBE_ReadPixels_RLE(FILE *fp, float *data, int scanline_width, + int num_scanlines); + +#endif/*_RGBE_HDR_H_*/ + + + diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index 185b8dcc9..b05140c96 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -80,6 +80,8 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21); +CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, std::vector expTimes, OutputArray dst); + } // cv #endif diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp new file mode 100644 index 000000000..ba0a4c94c --- /dev/null +++ b/modules/photo/src/hdr_fusion.cpp @@ -0,0 +1,115 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "opencv2/photo.hpp" +#include "opencv2/imgproc.hpp" + +namespace cv +{ + +static void triangleWeights(float weights[]) +{ + for(int i = 0; i < 128; i++) { + weights[i] = i + 1.0f; + } + for(int i = 128; i < 256; i++) { + weights[i] = 256.0f - i; + } +} + +static void generateResponce(float responce[]) +{ + for(int i = 0; i < 256; i++) { + responce[i] = log((float)i); + } + responce[0] = responce[1]; +} + +void makeHDR(InputArrayOfArrays _images, std::vector exp_times, OutputArray _dst) +{ + std::vector images; + _images.getMatVector(images); + if(images.empty()) { + printf("Need at least one vector image."); + } + if(images.size() != exp_times.size()) { + printf("Number of images and number of exposure times must be equal."); + } + int width = images[0].cols; + int height = images[0].rows; + for(size_t i = 0; i < images.size(); i++) { + + if(images[i].cols != width || images[i].rows != height) { + printf("Image dimensions must be equal."); + } + if(images[i].type() != CV_8UC3) { + printf("Images must have CV_8UC3 type."); + } + } + _dst.create(images[0].size(), CV_32FC3); + Mat result = _dst.getMat(); + float weights[256], responce[256]; + triangleWeights(weights); + generateResponce(responce); + + float *res_ptr = result.ptr(); + for(size_t pos = 0; pos < result.total(); pos++, res_ptr += 3) { + + float sum[3] = {0, 0, 0}; + float weight_sum = 0; + for(size_t im = 0; im < images.size(); im++) { + + uchar *img_ptr = images[im].ptr() + 3 * pos; + float w = (weights[img_ptr[0]] + weights[img_ptr[1]] + + weights[img_ptr[2]]) / 3; + weight_sum += w; + for(int channel = 0; channel < 3; channel++) { + sum[channel] += w * (responce[img_ptr[channel]] - log(exp_times[im])); + } + } + for(int channel = 0; channel < 3; channel++) { + res_ptr[channel] = exp(sum[channel] / weight_sum); + } + } +} + +}; \ No newline at end of file From 96dfbf5d248dcf9a12ab48e144b9295ae8868912 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Sun, 23 Jun 2013 14:25:51 +0400 Subject: [PATCH 02/55] HDR formats support and HDR making. Code only. --- .../CompilerIdCXX/CMakeCXXCompilerId.cpp | 372 ------------------ 1 file changed, 372 deletions(-) delete mode 100644 CMakeFiles/2.8.11.1/CompilerIdCXX/CMakeCXXCompilerId.cpp diff --git a/CMakeFiles/2.8.11.1/CompilerIdCXX/CMakeCXXCompilerId.cpp b/CMakeFiles/2.8.11.1/CompilerIdCXX/CMakeCXXCompilerId.cpp deleted file mode 100644 index 17c8fd9d1..000000000 --- a/CMakeFiles/2.8.11.1/CompilerIdCXX/CMakeCXXCompilerId.cpp +++ /dev/null @@ -1,372 +0,0 @@ -/* This source file must have a .cpp extension so that all C++ compilers - recognize the extension without flags. 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-#elif defined(__clang__) -# define COMPILER_ID "Clang" -# define COMPILER_VERSION_MAJOR DEC(__clang_major__) -# define COMPILER_VERSION_MINOR DEC(__clang_minor__) -# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) - -#elif defined(__BORLANDC__) && defined(__CODEGEARC_VERSION__) -# define COMPILER_ID "Embarcadero" -# define COMPILER_VERSION_MAJOR HEX(__CODEGEARC_VERSION__>>24 & 0x00FF) -# define COMPILER_VERSION_MINOR HEX(__CODEGEARC_VERSION__>>16 & 0x00FF) -# define COMPILER_VERSION_PATCH HEX(__CODEGEARC_VERSION__ & 0xFFFF) - -#elif defined(__BORLANDC__) -# define COMPILER_ID "Borland" - /* __BORLANDC__ = 0xVRR */ -# define COMPILER_VERSION_MAJOR HEX(__BORLANDC__>>8) -# define COMPILER_VERSION_MINOR HEX(__BORLANDC__ & 0xFF) - -#elif defined(__WATCOMC__) -# define COMPILER_ID "Watcom" - /* __WATCOMC__ = VVRR */ -# define COMPILER_VERSION_MAJOR DEC(__WATCOMC__ / 100) -# define COMPILER_VERSION_MINOR DEC(__WATCOMC__ % 100) - -#elif defined(__SUNPRO_CC) -# define COMPILER_ID "SunPro" -# if __SUNPRO_CC >= 0x5100 - 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Try to identify the platform and guess that - it is the native compiler. */ -#elif defined(__sgi) -# define COMPILER_ID "MIPSpro" - -#elif defined(__hpux) || defined(__hpua) -# define COMPILER_ID "HP" - -#else /* unknown compiler */ -# define COMPILER_ID "" - -#endif - -/* Construct the string literal in pieces to prevent the source from - getting matched. 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This is because - the compilers do not have flags that can change the architecture, - but rather depend on which compiler is being used -*/ -#if defined(_WIN32) && defined(_MSC_VER) -# if defined(_M_IA64) -# define ARCHITECTURE_ID "IA64" - -# elif defined(_M_X64) || defined(_M_AMD64) -# define ARCHITECTURE_ID "x64" - -# elif defined(_M_IX86) -# define ARCHITECTURE_ID "X86" - -# elif defined(_M_ARM) -# define ARCHITECTURE_ID "ARM" - -# elif defined(_M_MIPS) -# define ARCHITECTURE_ID "MIPS" - -# elif defined(_M_SH) -# define ARCHITECTURE_ID "SHx" - -# else /* unknown architecture */ -# define ARCHITECTURE_ID "" -# endif - -#else -# define ARCHITECTURE_ID "" -#endif - -/* Convert integer to decimal digit literals. */ -#define DEC(n) \ - ('0' + (((n) / 10000000)%10)), \ - ('0' + (((n) / 1000000)%10)), \ - ('0' + (((n) / 100000)%10)), \ - ('0' + (((n) / 10000)%10)), \ - ('0' + (((n) / 1000)%10)), \ - ('0' + (((n) / 100)%10)), \ - ('0' + (((n) / 10)%10)), \ - ('0' + ((n) % 10)) - -/* Convert integer to hex digit literals. */ -#define HEX(n) \ - ('0' + ((n)>>28 & 0xF)), \ - ('0' + ((n)>>24 & 0xF)), \ - ('0' + ((n)>>20 & 0xF)), \ - ('0' + ((n)>>16 & 0xF)), \ - ('0' + ((n)>>12 & 0xF)), \ - ('0' + ((n)>>8 & 0xF)), \ - ('0' + ((n)>>4 & 0xF)), \ - ('0' + ((n) & 0xF)) - -/* Construct a string literal encoding the version number components. */ -#ifdef COMPILER_VERSION_MAJOR -char const info_version[] = { - 'I', 'N', 'F', 'O', ':', - 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[', - COMPILER_VERSION_MAJOR, -# ifdef COMPILER_VERSION_MINOR - '.', COMPILER_VERSION_MINOR, -# ifdef COMPILER_VERSION_PATCH - '.', COMPILER_VERSION_PATCH, -# ifdef COMPILER_VERSION_TWEAK - '.', COMPILER_VERSION_TWEAK, -# endif -# endif -# endif - ']','\0'}; -#endif - -/* Construct the string literal in pieces to prevent the source from - getting matched. Store it in a pointer rather than an array - because some compilers will just produce instructions to fill the - array rather than assigning a pointer to a static array. */ -char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]"; -char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]"; - - - -/*--------------------------------------------------------------------------*/ - -int main(int argc, char* argv[]) -{ - int require = 0; - require += info_compiler[argc]; - require += info_platform[argc]; -#ifdef COMPILER_VERSION_MAJOR - require += info_version[argc]; -#endif - (void)argv; - return require; -} From 84ea0c9a97bcc9c5ef52e62488c3cfbfc9c0e0fd Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Mon, 24 Jun 2013 05:54:58 +0400 Subject: [PATCH 03/55] Tests and rgbe fix --- modules/highgui/src/rgbe.cpp | 6 +-- modules/highgui/test/test_grfmt.cpp | 25 +++++++++ modules/photo/src/hdr_fusion.cpp | 5 ++ modules/photo/test/test_hdr.cpp | 78 +++++++++++++++++++++++++++++ 4 files changed, 111 insertions(+), 3 deletions(-) create mode 100644 modules/photo/test/test_hdr.cpp diff --git a/modules/highgui/src/rgbe.cpp b/modules/highgui/src/rgbe.cpp index 2403be71e..645f681aa 100644 --- a/modules/highgui/src/rgbe.cpp +++ b/modules/highgui/src/rgbe.cpp @@ -56,8 +56,8 @@ // feel free to modify it to suit your needs. // Some opencv specific changes have been added: -// inline define specified, channel order changed (to ger bgr by default), -// error handler uses CV_Error. +// inline define specified, error handler uses CV_Error, +// defines changed to work in bgr color space. // // posted to http://www.graphics.cornell.edu/~bjw/ // written by Bruce Walter (bjw@graphics.cornell.edu) 5/26/95 @@ -380,7 +380,7 @@ int RGBE_ReadPixels_RLE(FILE *fp, float *data, int scanline_width, } if ((rgbe[0] != 2)||(rgbe[1] != 2)||(rgbe[2] & 0x80)) { /* this file is not run length encoded */ - rgbe2float(&data[0],&data[1],&data[2],rgbe); + rgbe2float(&data[RGBE_DATA_RED],&data[RGBE_DATA_GREEN],&data[RGBE_DATA_BLUE],rgbe); data += RGBE_DATA_SIZE; free(scanline_buffer); return RGBE_ReadPixels(fp,data,scanline_width*num_scanlines-1); diff --git a/modules/highgui/test/test_grfmt.cpp b/modules/highgui/test/test_grfmt.cpp index 7fc80b2c1..5464a9ce9 100644 --- a/modules/highgui/test/test_grfmt.cpp +++ b/modules/highgui/test/test_grfmt.cpp @@ -406,3 +406,28 @@ TEST(Highgui_WebP, encode_decode_lossy_webp) } #endif + +TEST(Highgui_hdr, regression) +{ + string folder = string(cvtest::TS::ptr()->get_data_path()) + "../cv/hdr/"; + string name_rle = folder + "grand_canal_rle.hdr"; + string name_no_rle = folder + "grand_canal_no_rle.hdr"; + Mat img_rle = imread(name_rle, -1); + ASSERT_FALSE(img_rle.empty()) << "Could not open " << name_rle; + Mat img_no_rle = imread(name_no_rle, -1); + ASSERT_FALSE(img_no_rle.empty()) << "Could not open " << name_no_rle; + + double min = 0.0, max = 1.0; + minMaxLoc(abs(img_rle - img_no_rle), &min, &max); + ASSERT_FALSE(max > 0); + string tmp_file_name = tempfile(".hdr"); + vectorparam(1); + for(int i = 0; i < 2; i++) { + param[0] = i; + imwrite(tmp_file_name, img_rle, param); + Mat written_img = imread(tmp_file_name, -1); + ASSERT_FALSE(written_img.empty()) << "Could not open " << tmp_file_name; + minMaxLoc(abs(img_rle - written_img), &min, &max); + ASSERT_FALSE(max > 0); + } +} diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp index ba0a4c94c..23f8ecb1a 100644 --- a/modules/photo/src/hdr_fusion.cpp +++ b/modules/photo/src/hdr_fusion.cpp @@ -91,6 +91,7 @@ void makeHDR(InputArrayOfArrays _images, std::vector exp_times, OutputArr triangleWeights(weights); generateResponce(responce); + float max = 0; float *res_ptr = result.ptr(); for(size_t pos = 0; pos < result.total(); pos++, res_ptr += 3) { @@ -108,8 +109,12 @@ void makeHDR(InputArrayOfArrays _images, std::vector exp_times, OutputArr } for(int channel = 0; channel < 3; channel++) { res_ptr[channel] = exp(sum[channel] / weight_sum); + if(res_ptr[channel] > max) { + max = res_ptr[channel]; + } } } + result = result / max; } }; \ No newline at end of file diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp new file mode 100644 index 000000000..6b93aab2c --- /dev/null +++ b/modules/photo/test/test_hdr.cpp @@ -0,0 +1,78 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "test_precomp.hpp" +#include +#include + +using namespace cv; +using namespace std; + +TEST(Photo_MakeHdr, regression) +{ + string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + + vectorfile_names(3); + file_names[0] = folder + "grand_canal_1_45.jpg"; + file_names[1] = folder + "grand_canal_1_180.jpg"; + file_names[2] = folder + "grand_canal_1_750.jpg"; + vectorimages(3); + for(int i = 0; i < 3; i++) { + images[i] = imread(file_names[i]); + ASSERT_FALSE(images[i].empty()) << "Could not load input image " << file_names[i]; + } + + string expected_path = folder + "grand_canal_rle.hdr"; + Mat expected = imread(expected_path, -1); + ASSERT_FALSE(expected.empty()) << "Could not load input image " << expected_path; + + vectortimes(3); + times[0] = 1.0f/45.0f; + times[1] = 1.0f/180.0f; + times[2] = 1.0f/750.0f; + + Mat result; + makeHDR(images, times, result); + double min = 0.0, max = 1.0; + minMaxLoc(abs(result - expected), &min, &max); + ASSERT_TRUE(max < 0.01); +} \ No newline at end of file From 122f85f3528cf10bb8187841e5178c419fb373d8 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 28 Jun 2013 16:25:12 +0400 Subject: [PATCH 04/55] Tonemapping code --- modules/photo/src/tonemap.cpp | 190 ++++++++++++++++++++++++++++++++++ 1 file changed, 190 insertions(+) create mode 100644 modules/photo/src/tonemap.cpp diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp new file mode 100644 index 000000000..0c4089875 --- /dev/null +++ b/modules/photo/src/tonemap.cpp @@ -0,0 +1,190 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "opencv2/photo.hpp" +#include "opencv2/imgproc.hpp" + +namespace cv +{ + static float getParam(std::vector& params, size_t i, float defval) + { + if(params.size() > i) { + return params[i]; + } else { + return defval; + } + + } + static void DragoMap(Mat& src_img, Mat &dst_img, std::vector& params) + { + float bias_value = getParam(params, 1, 0.85f); + Mat gray_img; + cvtColor(src_img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + float mean = exp((float)sum(log_img)[0] / log_img.total()); + gray_img /= mean; + log_img.release(); + + double max; + minMaxLoc(gray_img, NULL, &max); + + Mat map; + log(gray_img + 1.0f, map); + Mat div; + pow(gray_img / (float)max, log(bias_value) / log(0.5f), div); + log(2.0f + 8.0f * div, div); + map = map.mul(1.0f / div); + map = map.mul(1.0f / gray_img); + div.release(); + gray_img.release(); + + std::vector channels(3); + split(src_img, channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(map); + } + map.release(); + merge(channels, dst_img); + } + + static void ReinhardDevlinMap(Mat& src_img, Mat &dst_img, std::vector& params) + { + float intensity = getParam(params, 1, 0.0f); + float color_adapt = getParam(params, 2, 0.0f); + float light_adapt = getParam(params, 3, 1.0f); + + Mat gray_img; + cvtColor(src_img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + + float log_mean = (float)sum(log_img)[0] / log_img.total(); + double log_min, log_max; + minMaxLoc(log_img, &log_min, &log_max); + log_img.release(); + + double key = (float)((log_max - log_mean) / (log_max - log_min)); + float map_key = 0.3f + 0.7f * pow((float)key, 1.4f); + intensity = exp(-intensity); + Scalar chan_mean = mean(src_img); + float gray_mean = (float)mean(gray_img)[0]; + + std::vector channels(3); + split(src_img, channels); + + for(int i = 0; i < 3; i++) { + float global = color_adapt * (float)chan_mean[i] + (1.0f - color_adapt) * gray_mean; + Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; + adapt = light_adapt * adapt + (1.0f - light_adapt) * global; + pow(intensity * adapt, map_key, adapt); + channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); + } + gray_img.release(); + merge(channels, dst_img); + } + + static void DurandMap(Mat& src_img, Mat& dst_img, std::vector& params) + { + float contrast = getParam(params, 1, 4.0f); + float sigma_color = getParam(params, 2, 2.0f); + float sigma_space = getParam(params, 3, 2.0f); + + Mat gray_img; + cvtColor(src_img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + Mat map_img; + bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space); + + double min, max; + minMaxLoc(map_img, &min, &max); + float scale = contrast / (float)(max - min); + + exp(map_img * (scale - 1.0f) + log_img, map_img); + log_img.release(); + map_img = map_img.mul(1.0f / gray_img); + gray_img.release(); + + std::vector channels(3); + split(src_img, channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(map_img); + } + merge(channels, dst_img); + } + + void tonemap(InputArray _src, OutputArray _dst, tonemap_algorithms algorithm, + std::vector& params) + { + typedef void (*tonemap_func)(Mat&, Mat&, std::vector&); + const unsigned param_count[TONEMAP_COUNT] = {0, 1, 3, 3}; + tonemap_func functions[TONEMAP_COUNT] = { + NULL, DragoMap, ReinhardDevlinMap, DurandMap}; + + Mat src = _src.getMat(); + if(src.empty()) { + CV_Error(Error::StsBadArg, "Empty input image"); + } + if(algorithm < 0 || algorithm >= TONEMAP_COUNT) { + CV_Error(Error::StsBadArg, "Wrong algorithm index"); + } + + _dst.create(src.size(), CV_32FC3); + Mat dst = _dst.getMat(); + src.copyTo(dst); + + double min, max; + minMaxLoc(dst, &min, &max); + if(max - min < 1e-10f) { + return; + } + dst = (dst - min) / (max - min); + if(functions[algorithm]) { + functions[algorithm](dst, dst, params); + } + minMaxLoc(dst, &min, &max); + dst = (dst - min) / (max - min); + float gamma = getParam(params, 0, 1.0f); + pow(dst, 1.0f / gamma, dst); + } +} \ No newline at end of file From a5e11079d743bf6bc4a31b1bd829e95cfa853bd2 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Thu, 4 Jul 2013 16:51:39 +0400 Subject: [PATCH 05/55] Fixes, missing files, tests --- modules/highgui/src/grfmt_hdr.cpp | 8 ++---- modules/highgui/src/grfmt_tiff.cpp | 36 +++++++---------------- modules/highgui/src/grfmt_tiff.hpp | 2 +- modules/photo/include/opencv2/photo.hpp | 18 +++++++++++- modules/photo/src/hdr_fusion.cpp | 19 ++++++++----- modules/photo/test/test_hdr.cpp | 38 +++++++++++++++++++++++-- 6 files changed, 80 insertions(+), 41 deletions(-) diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp index a5aab3057..288f73d1c 100644 --- a/modules/highgui/src/grfmt_hdr.cpp +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -92,11 +92,9 @@ bool HdrDecoder::readData(Mat& img) bool HdrDecoder::checkSignature( const String& signature ) const { - if(signature.size() >= (m_signature.size()) && - !memcmp(signature.c_str(), m_signature.c_str(), m_signature.size())) - return true; - if(signature.size() >= (m_signature.size()) && - !memcmp(signature.c_str(), m_signature_alt.c_str(), m_signature_alt.size())) + if(signature.size() >= m_signature.size() && + (!memcmp(signature.c_str(), m_signature.c_str(), m_signature.size()) || + !memcmp(signature.c_str(), m_signature_alt.c_str(), m_signature_alt.size()))) return true; return false; } diff --git a/modules/highgui/src/grfmt_tiff.cpp b/modules/highgui/src/grfmt_tiff.cpp index 51d17cee7..abcd7de41 100644 --- a/modules/highgui/src/grfmt_tiff.cpp +++ b/modules/highgui/src/grfmt_tiff.cpp @@ -47,6 +47,7 @@ #include "precomp.hpp" #include "grfmt_tiff.hpp" +#include namespace cv { @@ -413,22 +414,13 @@ bool TiffDecoder::readHdrData(Mat& img) size -= strip_size * sizeof(float); } close(); - ptr = img.ptr(); - for(size_t i = 0; i < img.total(); i++, ptr += 3) + if(photometric == PHOTOMETRIC_LOGLUV) { - if(photometric == PHOTOMETRIC_LOGLUV) - { - float r = 3.240479f * ptr[0] + -1.537150f * ptr[1] + -0.498535f * ptr[2]; - float g = -0.969256f * ptr[0] + 1.875991f * ptr[1] + 0.041556f * ptr[2]; - float b = 0.055648f * ptr[0] + -0.204043f * ptr[1] + 1.057311f * ptr[2]; - ptr[0] = b; ptr[1] = g; ptr[2] = r; - } - else - { - float tmp = ptr[0]; - ptr[0] = ptr[2]; - ptr[2] = tmp; - } + cvtColor(img, img, COLOR_XYZ2BGR); + } + else + { + cvtColor(img, img, COLOR_RGB2BGR); } return true; } @@ -614,16 +606,10 @@ bool TiffEncoder::writeLibTiff( const Mat& img, const std::vector& params) return true; } -bool TiffEncoder::writeHdr(const Mat& img) +bool TiffEncoder::writeHdr(const Mat& _img) { - float *ptr = const_cast(img.ptr()); - for(size_t i = 0; i < img.total(); i++, ptr += 3) - { - float x = 0.412453f * ptr[2] + 0.357580f * ptr[1] + 0.180423f * ptr[0]; - float y = 0.212671f * ptr[2] + 0.715160f * ptr[1] + 0.072169f * ptr[0]; - float z = 0.019334f * ptr[2] + 0.119193f * ptr[1] + 0.950227f * ptr[0]; - ptr[0] = x; ptr[1] = y; ptr[2] = z; - } + Mat img; + cvtColor(_img, img, COLOR_BGR2XYZ); TIFF* tif = TIFFOpen(m_filename.c_str(), "w"); if (!tif) { @@ -638,7 +624,7 @@ bool TiffEncoder::writeHdr(const Mat& img) TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT); TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, 1); int strip_size = 3 * img.cols; - ptr = const_cast(img.ptr()); + float *ptr = const_cast(img.ptr()); for (int i = 0; i < img.rows; i++, ptr += strip_size) { TIFFWriteEncodedStrip(tif, i, ptr, strip_size * sizeof(float)); diff --git a/modules/highgui/src/grfmt_tiff.hpp b/modules/highgui/src/grfmt_tiff.hpp index b6f7fa099..72547bdee 100644 --- a/modules/highgui/src/grfmt_tiff.hpp +++ b/modules/highgui/src/grfmt_tiff.hpp @@ -53,7 +53,7 @@ enum TiffCompression { TIFF_UNCOMP = 1, TIFF_HUFFMAN = 2, - TIFF_PACKBITS = 32773, + TIFF_PACKBITS = 32773 }; enum TiffByteOrder diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index b05140c96..a4e5781fe 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -59,6 +59,20 @@ enum INPAINT_TELEA = 1 // A. Telea algorithm }; +//! the tonemapping algorithm +enum tonemap_algorithms +{ + TONEMAP_LINEAR, + + TONEMAP_DRAGO, // Adaptive Logarithmic Mapping For + // Displaying High Contrast Scenes + TONEMAP_REINHARD, // Dynamic Range Reduction Inspired + // by Photoreceptor Physiology + TONEMAP_DURAND, // Fast Bilateral Filtering for the + // Display of High-Dynamic-Range Images + TONEMAP_COUNT +}; + //! restores the damaged image areas using one of the available intpainting algorithms CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags ); @@ -80,7 +94,9 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21); -CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, std::vector expTimes, OutputArray dst); +CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst); + +CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, tonemap_algorithms algorithm, std::vector& params = std::vector()); } // cv diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp index 23f8ecb1a..2da13f55c 100644 --- a/modules/photo/src/hdr_fusion.cpp +++ b/modules/photo/src/hdr_fusion.cpp @@ -64,29 +64,34 @@ static void generateResponce(float responce[]) responce[0] = responce[1]; } -void makeHDR(InputArrayOfArrays _images, std::vector exp_times, OutputArray _dst) +void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, OutputArray _dst) { std::vector images; _images.getMatVector(images); if(images.empty()) { - printf("Need at least one vector image."); + CV_Error(Error::StsBadArg, "Need at least one image"); } - if(images.size() != exp_times.size()) { - printf("Number of images and number of exposure times must be equal."); + if(images.size() != _exp_times.size()) { + CV_Error(Error::StsBadArg, "Number of images and number of exposure times must be equal."); } int width = images[0].cols; int height = images[0].rows; for(size_t i = 0; i < images.size(); i++) { if(images[i].cols != width || images[i].rows != height) { - printf("Image dimensions must be equal."); + CV_Error(Error::StsBadArg, "Image dimensions must be equal."); } if(images[i].type() != CV_8UC3) { - printf("Images must have CV_8UC3 type."); + CV_Error(Error::StsBadArg, "Images must have CV_8UC3 type."); } } _dst.create(images[0].size(), CV_32FC3); Mat result = _dst.getMat(); + std::vector exp_times(_exp_times.size()); + for(size_t i = 0; i < exp_times.size(); i++) { + exp_times[i] = log(_exp_times[i]); + } + float weights[256], responce[256]; triangleWeights(weights); generateResponce(responce); @@ -104,7 +109,7 @@ void makeHDR(InputArrayOfArrays _images, std::vector exp_times, OutputArr weights[img_ptr[2]]) / 3; weight_sum += w; for(int channel = 0; channel < 3; channel++) { - sum[channel] += w * (responce[img_ptr[channel]] - log(exp_times[im])); + sum[channel] += w * (responce[img_ptr[channel]] - exp_times[im]); } } for(int channel = 0; channel < 3; channel++) { diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 6b93aab2c..8e895000c 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -72,7 +72,41 @@ TEST(Photo_MakeHdr, regression) Mat result; makeHDR(images, times, result); - double min = 0.0, max = 1.0; - minMaxLoc(abs(result - expected), &min, &max); + double max = 1.0; + minMaxLoc(abs(result - expected), NULL, &max); ASSERT_TRUE(max < 0.01); +} + +TEST(Photo_Tonemap, regression) +{ + string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + + vectorfile_names(TONEMAP_COUNT); + file_names[TONEMAP_DRAGO] = folder + "grand_canal_drago_2.2.png"; + file_names[TONEMAP_REINHARD] = folder + "grand_canal_reinhard_2.2.png"; + file_names[TONEMAP_DURAND] = folder + "grand_canal_durand_2.2.png"; + file_names[TONEMAP_LINEAR] = folder + "grand_canal_linear_map_2.2.png"; + + vectorimages(TONEMAP_COUNT); + for(int i = 0; i < TONEMAP_COUNT; i++) { + images[i] = imread(file_names[i]); + ASSERT_FALSE(images[i].empty()) << "Could not load input image " << file_names[i]; + } + + string hdr_file_name = folder + "grand_canal_rle.hdr"; + Mat img = imread(hdr_file_name, -1); + ASSERT_FALSE(img.empty()) << "Could not load input image " << hdr_file_name; + + vector param(1); + param[0] = 2.2f; + + for(int i = TONEMAP_DURAND; i < TONEMAP_COUNT; i++) { + + Mat result; + tonemap(img, result, static_cast(i), param); + result.convertTo(result, CV_8UC3, 255); + double max = 1.0; + minMaxLoc(abs(result - images[i]), NULL, &max); + ASSERT_FALSE(max > 0); + } } \ No newline at end of file From 0aee5b61e33bbc4e5814569a9ff41ada0ea481bf Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 5 Jul 2013 16:14:08 +0400 Subject: [PATCH 06/55] Exposure fusion. Code, tests. --- modules/photo/include/opencv2/photo.hpp | 4 +- modules/photo/src/hdr_fusion.cpp | 98 ++++++++- modules/photo/src/tonemap.cpp | 251 ++++++++++++------------ modules/photo/test/test_hdr.cpp | 10 +- 4 files changed, 232 insertions(+), 131 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index a4e5781fe..b15a4739a 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -96,8 +96,10 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst); -CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, tonemap_algorithms algorithm, std::vector& params = std::vector()); +CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, tonemap_algorithms algorithm, + const std::vector& params = std::vector()); +CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, float wc = 1, float ws = 1, float we = 0); } // cv #endif diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp index 2da13f55c..0d3e507be 100644 --- a/modules/photo/src/hdr_fusion.cpp +++ b/modules/photo/src/hdr_fusion.cpp @@ -64,14 +64,12 @@ static void generateResponce(float responce[]) responce[0] = responce[1]; } -void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, OutputArray _dst) +static void checkImages(std::vector& images, bool hdr, const std::vector& _exp_times = std::vector()) { - std::vector images; - _images.getMatVector(images); if(images.empty()) { CV_Error(Error::StsBadArg, "Need at least one image"); } - if(images.size() != _exp_times.size()) { + if(hdr && images.size() != _exp_times.size()) { CV_Error(Error::StsBadArg, "Number of images and number of exposure times must be equal."); } int width = images[0].cols; @@ -85,8 +83,16 @@ void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, O CV_Error(Error::StsBadArg, "Images must have CV_8UC3 type."); } } +} + +void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, OutputArray _dst) +{ + std::vector images; + _images.getMatVector(images); + checkImages(images, true, _exp_times); _dst.create(images[0].size(), CV_32FC3); Mat result = _dst.getMat(); + std::vector exp_times(_exp_times.size()); for(size_t i = 0; i < exp_times.size(); i++) { exp_times[i] = log(_exp_times[i]); @@ -122,4 +128,88 @@ void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, O result = result / max; } +void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, float wc, float ws, float we) +{ + std::vector images; + _images.getMatVector(images); + checkImages(images, false); + + std::vector weights(images.size()); + Mat weight_sum = Mat::zeros(images[0].size(), CV_32FC1); + for(size_t im = 0; im < images.size(); im++) { + Mat img, gray, contrast, saturation, wellexp; + std::vector channels(3); + + images[im].convertTo(img, CV_32FC3, 1.0/255.0); + cvtColor(img, gray, COLOR_RGB2GRAY); + split(img, channels); + + Laplacian(gray, contrast, CV_32F); + contrast = abs(contrast); + + Mat mean = (channels[0] + channels[1] + channels[2]) / 3.0f; + saturation = Mat::zeros(channels[0].size(), CV_32FC1); + for(int i = 0; i < 3; i++) { + Mat deviation = channels[i] - mean; + pow(deviation, 2.0, deviation); + saturation += deviation; + } + sqrt(saturation, saturation); + + wellexp = Mat::ones(gray.size(), CV_32FC1); + for(int i = 0; i < 3; i++) { + Mat exp = channels[i] - 0.5f; + pow(exp, 2, exp); + exp = -exp / 0.08; + wellexp = wellexp.mul(exp); + } + + pow(contrast, wc, contrast); + pow(saturation, ws, saturation); + pow(wellexp, we, wellexp); + + weights[im] = contrast; + weights[im] = weights[im].mul(saturation); + weights[im] = weights[im].mul(wellexp); + weight_sum += weights[im]; + } + int maxlevel = (int)(log((double)max(images[0].rows, images[0].cols)) / log(2.0)) - 1; + std::vector res_pyr(maxlevel + 1); + + for(size_t im = 0; im < images.size(); im++) { + weights[im] /= weight_sum; + Mat img; + images[im].convertTo(img, CV_32FC3, 1/255.0); + std::vector img_pyr, weight_pyr; + buildPyramid(img, img_pyr, maxlevel); + buildPyramid(weights[im], weight_pyr, maxlevel); + for(int lvl = 0; lvl < maxlevel; lvl++) { + Mat up; + pyrUp(img_pyr[lvl + 1], up, img_pyr[lvl].size()); + img_pyr[lvl] -= up; + } + for(int lvl = 0; lvl <= maxlevel; lvl++) { + std::vector channels(3); + split(img_pyr[lvl], channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(weight_pyr[lvl]); + } + merge(channels, img_pyr[lvl]); + if(res_pyr[lvl].empty()) { + res_pyr[lvl] = img_pyr[lvl]; + } else { + res_pyr[lvl] += img_pyr[lvl]; + } + } + } + for(int lvl = maxlevel; lvl > 0; lvl--) { + Mat up; + pyrUp(res_pyr[lvl], up, res_pyr[lvl - 1].size()); + res_pyr[lvl - 1] += up; + } + _dst.create(images[0].size(), CV_32FC3); + Mat result = _dst.getMat(); + res_pyr[0].copyTo(result); +} + }; \ No newline at end of file diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 0c4089875..d3ab24616 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -45,146 +45,147 @@ namespace cv { - static float getParam(std::vector& params, size_t i, float defval) - { - if(params.size() > i) { - return params[i]; - } else { - return defval; - } - - } - static void DragoMap(Mat& src_img, Mat &dst_img, std::vector& params) - { - float bias_value = getParam(params, 1, 0.85f); - Mat gray_img; - cvtColor(src_img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); - float mean = exp((float)sum(log_img)[0] / log_img.total()); - gray_img /= mean; - log_img.release(); - double max; - minMaxLoc(gray_img, NULL, &max); +static float getParam(const std::vector& params, size_t i, float defval) +{ + if(params.size() > i) { + return params[i]; + } else { + return defval; + } + +} - Mat map; - log(gray_img + 1.0f, map); - Mat div; - pow(gray_img / (float)max, log(bias_value) / log(0.5f), div); - log(2.0f + 8.0f * div, div); - map = map.mul(1.0f / div); - map = map.mul(1.0f / gray_img); - div.release(); - gray_img.release(); +static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector& params) +{ + float bias_value = getParam(params, 1, 0.85f); + Mat gray_img; + cvtColor(src_img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + float mean = exp((float)sum(log_img)[0] / log_img.total()); + gray_img /= mean; + log_img.release(); - std::vector channels(3); - split(src_img, channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(map); - } - map.release(); - merge(channels, dst_img); - } + double max; + minMaxLoc(gray_img, NULL, &max); - static void ReinhardDevlinMap(Mat& src_img, Mat &dst_img, std::vector& params) - { - float intensity = getParam(params, 1, 0.0f); - float color_adapt = getParam(params, 2, 0.0f); - float light_adapt = getParam(params, 3, 1.0f); + Mat map; + log(gray_img + 1.0f, map); + Mat div; + pow(gray_img / (float)max, log(bias_value) / log(0.5f), div); + log(2.0f + 8.0f * div, div); + map = map.mul(1.0f / div); + map = map.mul(1.0f / gray_img); + div.release(); + gray_img.release(); - Mat gray_img; - cvtColor(src_img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); + std::vector channels(3); + split(src_img, channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(map); + } + map.release(); + merge(channels, dst_img); +} - float log_mean = (float)sum(log_img)[0] / log_img.total(); - double log_min, log_max; - minMaxLoc(log_img, &log_min, &log_max); - log_img.release(); +static void ReinhardDevlinMap(Mat& src_img, Mat &dst_img, const std::vector& params) +{ + float intensity = getParam(params, 1, 0.0f); + float color_adapt = getParam(params, 2, 0.0f); + float light_adapt = getParam(params, 3, 1.0f); - double key = (float)((log_max - log_mean) / (log_max - log_min)); - float map_key = 0.3f + 0.7f * pow((float)key, 1.4f); - intensity = exp(-intensity); - Scalar chan_mean = mean(src_img); - float gray_mean = (float)mean(gray_img)[0]; + Mat gray_img; + cvtColor(src_img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); - std::vector channels(3); - split(src_img, channels); + float log_mean = (float)sum(log_img)[0] / log_img.total(); + double log_min, log_max; + minMaxLoc(log_img, &log_min, &log_max); + log_img.release(); - for(int i = 0; i < 3; i++) { - float global = color_adapt * (float)chan_mean[i] + (1.0f - color_adapt) * gray_mean; - Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; - adapt = light_adapt * adapt + (1.0f - light_adapt) * global; - pow(intensity * adapt, map_key, adapt); - channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); - } - gray_img.release(); - merge(channels, dst_img); - } + double key = (float)((log_max - log_mean) / (log_max - log_min)); + float map_key = 0.3f + 0.7f * pow((float)key, 1.4f); + intensity = exp(-intensity); + Scalar chan_mean = mean(src_img); + float gray_mean = (float)mean(gray_img)[0]; - static void DurandMap(Mat& src_img, Mat& dst_img, std::vector& params) - { - float contrast = getParam(params, 1, 4.0f); - float sigma_color = getParam(params, 2, 2.0f); - float sigma_space = getParam(params, 3, 2.0f); + std::vector channels(3); + split(src_img, channels); - Mat gray_img; - cvtColor(src_img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); - Mat map_img; - bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space); - - double min, max; - minMaxLoc(map_img, &min, &max); - float scale = contrast / (float)(max - min); + for(int i = 0; i < 3; i++) { + float global = color_adapt * (float)chan_mean[i] + (1.0f - color_adapt) * gray_mean; + Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; + adapt = light_adapt * adapt + (1.0f - light_adapt) * global; + pow(intensity * adapt, map_key, adapt); + channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); + } + gray_img.release(); + merge(channels, dst_img); +} - exp(map_img * (scale - 1.0f) + log_img, map_img); - log_img.release(); - map_img = map_img.mul(1.0f / gray_img); - gray_img.release(); +static void DurandMap(Mat& src_img, Mat& dst_img, const std::vector& params) +{ + float contrast = getParam(params, 1, 4.0f); + float sigma_color = getParam(params, 2, 2.0f); + float sigma_space = getParam(params, 3, 2.0f); - std::vector channels(3); - split(src_img, channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(map_img); - } - merge(channels, dst_img); - } + Mat gray_img; + cvtColor(src_img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + Mat map_img; + bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space); + + double min, max; + minMaxLoc(map_img, &min, &max); + float scale = contrast / (float)(max - min); - void tonemap(InputArray _src, OutputArray _dst, tonemap_algorithms algorithm, - std::vector& params) - { - typedef void (*tonemap_func)(Mat&, Mat&, std::vector&); - const unsigned param_count[TONEMAP_COUNT] = {0, 1, 3, 3}; - tonemap_func functions[TONEMAP_COUNT] = { - NULL, DragoMap, ReinhardDevlinMap, DurandMap}; + exp(map_img * (scale - 1.0f) + log_img, map_img); + log_img.release(); + map_img = map_img.mul(1.0f / gray_img); + gray_img.release(); - Mat src = _src.getMat(); - if(src.empty()) { - CV_Error(Error::StsBadArg, "Empty input image"); - } - if(algorithm < 0 || algorithm >= TONEMAP_COUNT) { - CV_Error(Error::StsBadArg, "Wrong algorithm index"); - } + std::vector channels(3); + split(src_img, channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(map_img); + } + merge(channels, dst_img); +} - _dst.create(src.size(), CV_32FC3); - Mat dst = _dst.getMat(); - src.copyTo(dst); +void tonemap(InputArray _src, OutputArray _dst, tonemap_algorithms algorithm, + const std::vector& params) +{ + typedef void (*tonemap_func)(Mat&, Mat&, const std::vector&); + tonemap_func functions[TONEMAP_COUNT] = { + NULL, DragoMap, ReinhardDevlinMap, DurandMap}; - double min, max; - minMaxLoc(dst, &min, &max); - if(max - min < 1e-10f) { - return; - } - dst = (dst - min) / (max - min); - if(functions[algorithm]) { - functions[algorithm](dst, dst, params); - } - minMaxLoc(dst, &min, &max); - dst = (dst - min) / (max - min); - float gamma = getParam(params, 0, 1.0f); - pow(dst, 1.0f / gamma, dst); - } + Mat src = _src.getMat(); + if(src.empty()) { + CV_Error(Error::StsBadArg, "Empty input image"); + } + if(algorithm < 0 || algorithm >= TONEMAP_COUNT) { + CV_Error(Error::StsBadArg, "Wrong algorithm index"); + } + + _dst.create(src.size(), CV_32FC3); + Mat dst = _dst.getMat(); + src.copyTo(dst); + + double min, max; + minMaxLoc(dst, &min, &max); + if(max - min < 1e-10f) { + return; + } + dst = (dst - min) / (max - min); + if(functions[algorithm]) { + functions[algorithm](dst, dst, params); + } + minMaxLoc(dst, &min, &max); + dst = (dst - min) / (max - min); + float gamma = getParam(params, 0, 1.0f); + pow(dst, 1.0f / gamma, dst); +} } \ No newline at end of file diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 8e895000c..b90e49167 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -47,7 +47,7 @@ using namespace cv; using namespace std; -TEST(Photo_MakeHdr, regression) +TEST(Photo_HdrFusion, regression) { string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; @@ -75,6 +75,14 @@ TEST(Photo_MakeHdr, regression) double max = 1.0; minMaxLoc(abs(result - expected), NULL, &max); ASSERT_TRUE(max < 0.01); + + expected_path = folder + "grand_canal_exp_fusion.png"; + expected = imread(expected_path); + ASSERT_FALSE(expected.empty()) << "Could not load input image " << expected_path; + exposureFusion(images, result); + result.convertTo(result, CV_8UC3, 255); + minMaxLoc(abs(result - expected), NULL, &max); + ASSERT_FALSE(max > 0); } TEST(Photo_Tonemap, regression) From 35133df0de6a1fa57fb4a7022dffb80d81b23e93 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 12 Jul 2013 16:03:53 +0400 Subject: [PATCH 07/55] MTB alignment. Code, tests, application --- modules/photo/include/opencv2/photo.hpp | 8 ++++-- modules/photo/src/hdr_fusion.cpp | 34 +++++++++++++++++++++++-- modules/photo/test/test_hdr.cpp | 23 +++++++++++++++++ 3 files changed, 61 insertions(+), 4 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index b15a4739a..1d85a87cb 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -94,12 +94,16 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21); -CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst); +CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, bool align = false); CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, tonemap_algorithms algorithm, const std::vector& params = std::vector()); -CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, float wc = 1, float ws = 1, float we = 0); +CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, bool align = false, float wc = 1, float ws = 1, float we = 0); + +CV_EXPORTS_W void shiftMat(InputArray src, Point shift, OutputArray dst); + +CV_EXPORTS_W Point getExpShift(InputArray img0, InputArray img1, int max_bits = 6, int exclude_range = 4); } // cv #endif diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp index 0d3e507be..5f2bf814d 100644 --- a/modules/photo/src/hdr_fusion.cpp +++ b/modules/photo/src/hdr_fusion.cpp @@ -85,7 +85,27 @@ static void checkImages(std::vector& images, bool hdr, const std::vector& _exp_times, OutputArray _dst) +static void alignImages(std::vector& src, std::vector& dst) +{ + dst.resize(src.size()); + + size_t pivot = src.size() / 2; + dst[pivot] = src[pivot]; + Mat gray_base; + cvtColor(src[pivot], gray_base, COLOR_RGB2GRAY); + + for(size_t i = 0; i < src.size(); i++) { + if(i == pivot) { + continue; + } + Mat gray; + cvtColor(src[i], gray, COLOR_RGB2GRAY); + Point shift = getExpShift(gray_base, gray); + shiftMat(src[i], shift, dst[i]); + } +} + +void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, OutputArray _dst, bool align) { std::vector images; _images.getMatVector(images); @@ -93,6 +113,11 @@ void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, O _dst.create(images[0].size(), CV_32FC3); Mat result = _dst.getMat(); + if(align) { + std::vector new_images; + alignImages(images, new_images); + images = new_images; + } std::vector exp_times(_exp_times.size()); for(size_t i = 0; i < exp_times.size(); i++) { exp_times[i] = log(_exp_times[i]); @@ -128,12 +153,17 @@ void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, O result = result / max; } -void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, float wc, float ws, float we) +void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, bool align, float wc, float ws, float we) { std::vector images; _images.getMatVector(images); checkImages(images, false); + if(align) { + std::vector new_images; + alignImages(images, new_images); + images = new_images; + } std::vector weights(images.size()); Mat weight_sum = Mat::zeros(images[0].size(), CV_32FC1); for(size_t im = 0; im < images.size(); im++) { diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index b90e49167..5ea77ebf4 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -117,4 +117,27 @@ TEST(Photo_Tonemap, regression) minMaxLoc(abs(result - images[i]), NULL, &max); ASSERT_FALSE(max > 0); } +} + +TEST(Photo_Align, regression) +{ + const int TESTS_COUNT = 100; + string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + + string file_name = folder + "grand_canal_1_45.jpg"; + Mat img = imread(file_name); + ASSERT_FALSE(img.empty()) << "Could not load input image " << file_name; + cvtColor(img, img, COLOR_RGB2GRAY); + + int max_bits = 6; + int max_shift = 64; + srand(time(0)); + + for(int i = 0; i < TESTS_COUNT; i++) { + Point shift(rand() % max_shift, rand() % max_shift); + Mat res; + shiftMat(img, shift, res); + Point calc = getExpShift(img, res, max_bits); + ASSERT_TRUE(calc == -shift); + } } \ No newline at end of file From 091b48de6029b1f652e4e1aa0b29c0ca31954a02 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 12 Jul 2013 16:08:06 +0400 Subject: [PATCH 08/55] MTB alignment. Missing main file. --- modules/photo/src/align.cpp | 166 ++++++++++++++++++++++++++++++++++++ 1 file changed, 166 insertions(+) create mode 100644 modules/photo/src/align.cpp diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp new file mode 100644 index 000000000..0fce82b90 --- /dev/null +++ b/modules/photo/src/align.cpp @@ -0,0 +1,166 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "opencv2/photo.hpp" +#include "opencv2/imgproc.hpp" + +namespace cv +{ + +static void downsample(Mat& src, Mat& dst) +{ + dst = Mat(src.rows / 2, src.cols / 2, CV_8UC1); + + int offset = src.cols * 2; + uchar *src_ptr = src.ptr(); + uchar *dst_ptr = dst.ptr(); + for(int y = 0; y < dst.rows; y ++) { + uchar *ptr = src_ptr; + for(int x = 0; x < dst.cols; x++) { + dst_ptr[0] = ptr[0]; + dst_ptr++; + ptr += 2; + } + src_ptr += offset; + } +} + +static void buildPyr(Mat& img, std::vector& pyr, int maxlevel) +{ + pyr.resize(maxlevel + 1); + pyr[0] = img.clone(); + for(int level = 0; level < maxlevel; level++) { + downsample(pyr[level], pyr[level + 1]); + } +} + +static int getMedian(Mat& img) +{ + int channels = 0; + Mat hist; + int hist_size = 256; + float range[] = {0, 256} ; + const float* ranges[] = {range}; + calcHist(&img, 1, &channels, Mat(), hist, 1, &hist_size, ranges); + float *ptr = hist.ptr(); + int median = 0, sum = 0; + int thresh = img.total() / 2; + while(sum < thresh && median < 256) { + sum += (int)ptr[median]; + median++; + } + return median; +} + +static void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range) +{ + int median = getMedian(img); + compare(img, median, tb, CMP_GT); + compare(abs(img - median), exclude_range, eb, CMP_GT); +} + +void shiftMat(InputArray _src, Point shift, OutputArray _dst) +{ + Mat src = _src.getMat(); + if(src.depth() != CV_8U) { + CV_Error(Error::StsBadArg, "Image must have CV_8U depth."); + } + _dst.create(src.size(), src.type()); + Mat dst = _dst.getMat(); + + dst = Mat::zeros(src.size(), src.type()); + int width = src.cols - abs(shift.x); + int height = src.rows - abs(shift.y); + Rect dst_rect(max(shift.x, 0), max(shift.y, 0), width, height); + Rect src_rect(max(-shift.x, 0), max(-shift.y, 0), width, height); + src(src_rect).copyTo(dst(dst_rect)); +} + +Point getExpShift(InputArray _img0, InputArray _img1, int max_bits, int exclude_range) +{ + Mat img0 = _img0.getMat(); + Mat img1 = _img1.getMat(); + if(img0.type() != CV_8UC1 || img1.type() != CV_8UC1) { + CV_Error(Error::StsBadArg, "Images must have CV_8UC1 type."); + } + if(img0.size() != img0.size()) { + CV_Error(Error::StsBadArg, "Image dimensions must be equal."); + } + int maxlevel = (int)(log((double)max(img0.rows, img0.cols)) / log(2.0)) - 1; + maxlevel = min(maxlevel, max_bits - 1); + + std::vector pyr0; + std::vector pyr1; + buildPyr(img0, pyr0, maxlevel); + buildPyr(img1, pyr1, maxlevel); + + Point shift(0, 0); + for(int level = maxlevel; level >= 0; level--) { + + shift *= 2; + Mat tb1, tb2, eb1, eb2; + computeBitmaps(pyr0[level], tb1, eb1, exclude_range); + computeBitmaps(pyr1[level], tb2, eb2, exclude_range); + + int min_err = pyr0[level].total(); + Point new_shift(shift); + for(int i = -1; i <= 1; i++) { + for(int j = -1; j <= 1; j++) { + Point test_shift = shift + Point(i, j); + Mat shifted_tb2, shifted_eb2, diff; + shiftMat(tb2, test_shift, shifted_tb2); + shiftMat(eb2, test_shift, shifted_eb2); + bitwise_xor(tb1, shifted_tb2, diff); + bitwise_and(diff, eb1, diff); + bitwise_and(diff, shifted_eb2, diff); + int err = countNonZero(diff); + if(err < min_err) { + new_shift = test_shift; + min_err = err; + } + } + } + shift = new_shift; + } + return shift; +} +}; \ No newline at end of file From 8ccca90dca48d10f43dc18ff07dfaaca3190da94 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Thu, 18 Jul 2013 00:28:40 +0400 Subject: [PATCH 09/55] small changes added including for precomp --- modules/highgui/src/grfmt_hdr.cpp | 2 ++ modules/highgui/src/rgbe.cpp | 5 ++++- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp index 288f73d1c..3f273043b 100644 --- a/modules/highgui/src/grfmt_hdr.cpp +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -40,11 +40,13 @@ // //M*/ +#include "precomp.hpp" #include "grfmt_hdr.hpp" #include "rgbe.hpp" namespace cv { + HdrDecoder::HdrDecoder() { m_signature = "#?RGBE"; diff --git a/modules/highgui/src/rgbe.cpp b/modules/highgui/src/rgbe.cpp index 645f681aa..6567d81ee 100644 --- a/modules/highgui/src/rgbe.cpp +++ b/modules/highgui/src/rgbe.cpp @@ -40,9 +40,12 @@ // //M*/ +#include "precomp.hpp" #include "rgbe.hpp" #include +#if !defined(__APPLE__) #include +#endif #include #include @@ -189,7 +192,7 @@ int RGBE_ReadHeader(FILE *fp, int *width, int *height, rgbe_header_info *info) } else if (info) { info->valid |= RGBE_VALID_PROGRAMTYPE; - for(i=0;iprogramtype)-1;i++) { + for(i=0;i(sizeof(info->programtype)-1);i++) { if ((buf[i+2] == 0) || isspace(buf[i+2])) break; info->programtype[i] = buf[i+2]; From 707048f6e19396afe6b3981914b9fc8555333f8e Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Thu, 18 Jul 2013 00:55:39 +0400 Subject: [PATCH 10/55] removed tonemap_algorithms due to wrapping problems --- modules/photo/include/opencv2/photo.hpp | 4 ++-- modules/photo/src/tonemap.cpp | 4 ++-- modules/photo/test/test_hdr.cpp | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index 1d85a87cb..b3d3aaf20 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -60,7 +60,7 @@ enum }; //! the tonemapping algorithm -enum tonemap_algorithms +enum { TONEMAP_LINEAR, @@ -96,7 +96,7 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, bool align = false); -CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, tonemap_algorithms algorithm, +CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, int algorithm, const std::vector& params = std::vector()); CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, bool align = false, float wc = 1, float ws = 1, float we = 0); diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index d3ab24616..1f0558686 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -155,7 +155,7 @@ static void DurandMap(Mat& src_img, Mat& dst_img, const std::vector& para merge(channels, dst_img); } -void tonemap(InputArray _src, OutputArray _dst, tonemap_algorithms algorithm, +void tonemap(InputArray _src, OutputArray _dst, int algorithm, const std::vector& params) { typedef void (*tonemap_func)(Mat&, Mat&, const std::vector&); @@ -188,4 +188,4 @@ void tonemap(InputArray _src, OutputArray _dst, tonemap_algorithms algorithm, float gamma = getParam(params, 0, 1.0f); pow(dst, 1.0f / gamma, dst); } -} \ No newline at end of file +} diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 5ea77ebf4..1db617104 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -111,7 +111,7 @@ TEST(Photo_Tonemap, regression) for(int i = TONEMAP_DURAND; i < TONEMAP_COUNT; i++) { Mat result; - tonemap(img, result, static_cast(i), param); + tonemap(img, result, i, param); result.convertTo(result, CV_8UC3, 255); double max = 1.0; minMaxLoc(abs(result - images[i]), NULL, &max); @@ -140,4 +140,4 @@ TEST(Photo_Align, regression) Point calc = getExpShift(img, res, max_bits); ASSERT_TRUE(calc == -shift); } -} \ No newline at end of file +} From 245dc9924813b1a5b4619cfdd9824fd6a0503ce9 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Thu, 18 Jul 2013 01:13:35 +0400 Subject: [PATCH 11/55] added include precomp --- modules/photo/src/align.cpp | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 0fce82b90..3c2ba266b 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -40,6 +40,7 @@ // //M*/ +#include "precomp.hpp" #include "opencv2/photo.hpp" #include "opencv2/imgproc.hpp" @@ -163,4 +164,4 @@ Point getExpShift(InputArray _img0, InputArray _img1, int max_bits, int exclude_ } return shift; } -}; \ No newline at end of file +}; From a29ce401d5ec6f1630e3032a252e4ad213ce01f9 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Thu, 18 Jul 2013 01:32:06 +0400 Subject: [PATCH 12/55] minore changes in test on HDR fromat --- modules/highgui/test/test_grfmt.cpp | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/modules/highgui/test/test_grfmt.cpp b/modules/highgui/test/test_grfmt.cpp index 5464a9ce9..5dae4217f 100644 --- a/modules/highgui/test/test_grfmt.cpp +++ b/modules/highgui/test/test_grfmt.cpp @@ -338,11 +338,11 @@ TEST(Highgui_Tiff, decode_tile16384x16384) TEST(Highgui_WebP, encode_decode_lossless_webp) { cvtest::TS& ts = *cvtest::TS::ptr(); - std::string input = std::string(ts.get_data_path()) + "../cv/shared/lena.png"; + string input = string(ts.get_data_path()) + "../cv/shared/lena.png"; cv::Mat img = cv::imread(input); ASSERT_FALSE(img.empty()); - std::string output = cv::tempfile(".webp"); + string output = cv::tempfile(".webp"); EXPECT_NO_THROW(cv::imwrite(output, img)); // lossless cv::Mat img_webp = cv::imread(output); @@ -387,7 +387,7 @@ TEST(Highgui_WebP, encode_decode_lossless_webp) TEST(Highgui_WebP, encode_decode_lossy_webp) { cvtest::TS& ts = *cvtest::TS::ptr(); - std::string input = std::string(ts.get_data_path()) + "/../cv/shared/lena.png"; + string input = string(ts.get_data_path()) + "/../cv/shared/lena.png"; cv::Mat img = cv::imread(input); ASSERT_FALSE(img.empty()); @@ -407,7 +407,7 @@ TEST(Highgui_WebP, encode_decode_lossy_webp) #endif -TEST(Highgui_hdr, regression) +TEST(Highgui_Hdr, regression) { string folder = string(cvtest::TS::ptr()->get_data_path()) + "../cv/hdr/"; string name_rle = folder + "grand_canal_rle.hdr"; @@ -419,7 +419,7 @@ TEST(Highgui_hdr, regression) double min = 0.0, max = 1.0; minMaxLoc(abs(img_rle - img_no_rle), &min, &max); - ASSERT_FALSE(max > 0); + ASSERT_FALSE(max > DBL_EPSILON); string tmp_file_name = tempfile(".hdr"); vectorparam(1); for(int i = 0; i < 2; i++) { @@ -428,6 +428,6 @@ TEST(Highgui_hdr, regression) Mat written_img = imread(tmp_file_name, -1); ASSERT_FALSE(written_img.empty()) << "Could not open " << tmp_file_name; minMaxLoc(abs(img_rle - written_img), &min, &max); - ASSERT_FALSE(max > 0); + ASSERT_FALSE(max > DBL_EPSILON); } } From ec668ce3a7a80dac91e420e94f05b65e2b86373f Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 19 Jul 2013 00:23:49 +0400 Subject: [PATCH 13/55] Documentation --- doc/mymath.sty | 42 ----------- modules/highgui/src/grfmt_hdr.cpp | 21 +++--- modules/photo/doc/hdr_imaging.rst | 116 ++++++++++++++++++++++++++++++ modules/photo/doc/photo.rst | 1 + modules/photo/src/align.cpp | 3 - 5 files changed, 130 insertions(+), 53 deletions(-) create mode 100644 modules/photo/doc/hdr_imaging.rst diff --git a/doc/mymath.sty b/doc/mymath.sty index 491c160cc..e69de29bb 100644 --- a/doc/mymath.sty +++ b/doc/mymath.sty @@ -1,42 +0,0 @@ -\ProvidesPackage{mymath} - -\newcommand{\matTT}[9]{ -\[ -\left|\begin{array}{ccc} - #1 & #2 & #3\\ - #4 & #5 & #6\\ - #7 & #8 & #9 -\end{array}\right| -\] -} - -\newcommand{\fork}[4]{ - \left\{ - \begin{array}{l l} - #1 & \mbox{#2}\\ - #3 & \mbox{#4}\\ - \end{array} \right.} -\newcommand{\forkthree}[6]{ - \left\{ - \begin{array}{l l} - #1 & \mbox{#2}\\ - #3 & \mbox{#4}\\ - #5 & \mbox{#6}\\ - \end{array} \right.} - -\newcommand{\vecthree}[3]{ -\begin{bmatrix} - #1\\ - #2\\ - #3 -\end{bmatrix} -} - -\newcommand{\vecthreethree}[9]{ -\begin{bmatrix} - #1 & #2 & #3\\ - #4 & #5 & #6\\ - #7 & #8 & #9 -\end{bmatrix} -} - diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp index 3f273043b..cf4a0e820 100644 --- a/modules/highgui/src/grfmt_hdr.cpp +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -78,17 +78,19 @@ bool HdrDecoder::readHeader() return true; } -bool HdrDecoder::readData(Mat& img) +bool HdrDecoder::readData(Mat& _img) { + Mat img(m_height, m_width, CV_32FC3); if(!file) { readHeader(); } - if(img.cols != m_width || img.rows != m_height || - img.type() != CV_32FC3) { - CV_Error(Error::StsError, "HDR decoder: bad mat"); - } RGBE_ReadPixels_RLE(file, const_cast(img.ptr()), img.cols, img.rows); fclose(file); file = NULL; + if(_img.depth() == img.depth()) { + img.convertTo(_img, _img.type()); + } else { + img.convertTo(_img, _img.type(), 255); + } return true; } @@ -115,10 +117,13 @@ HdrEncoder::~HdrEncoder() { } -bool HdrEncoder::write( const Mat& img, const std::vector& params ) +bool HdrEncoder::write( const Mat& _img, const std::vector& params ) { - if(img.type() != CV_32FC3) { - CV_Error(Error::StsBadArg, "HDR encoder: need 32FC3 mat"); + Mat img; + if(_img.depth() == CV_32F) { + _img.convertTo(img, CV_32FC3); + } else { + _img.convertTo(img, CV_32FC3, 1/255.0f); } if(!(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE)) { CV_Error(Error::StsBadArg, "HDR encoder: wrong compression param"); diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst new file mode 100644 index 000000000..a9fdb4cce --- /dev/null +++ b/modules/photo/doc/hdr_imaging.rst @@ -0,0 +1,116 @@ +HDR imaging +========== + +.. highlight:: cpp + +makeHDR +----------- +Creates HDR image from a set of bracketed exposures using algorithm by Debevec and Malik. + +"Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 + +.. ocv:function:: void makeHDR(InputArrayOfArrays srcImgs, const std::vector& expTimes, OutputArray dst, bool align = false) + + :param src_imgs: vector of 8-bit 3-channel images + + :param exp_times: exposure times for each of source images + + :param dst: output image + + :param align: if true, images are first aligned using median threshold bitmap algorithm. See :ocv:func:`getExpShift`. + +tonemap +----------- +Tonemaps image. + +.. ocv:function:: tonemap(InputArray src, OutputArray dst, int algorithm, const std::vector& params = std::vector()) + + :param src: input HDR image + + :param dst: floating-point image in [0; 1] range + + :param algorithm: + * TONEMAP_LINEAR - simple linear mapping + + * TONEMAP_DRAGO - "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003 + + * TONEMAP_REINHARD - "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 + + * TONEMAP_DURAND - "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002 + + :param params: vector of parameters for specified algorithm. + If some parameters are missing default values are used. + The first element is gamma value for gamma correction. + + * TONEMAP_LINEAR: + + No parameters. + + * TONEMAP_DRAGO: + + params[1] - value for bias function. Range [0.7, 0.9], default 0.85. + + * TONEMAP_REINHARD: + + params[1] - result intensity. Range [-8, 8], default 0. + + params[2] - chromatic adaptation. Range [0, 1], default 0. + + params[3] - light adaptation. Range [0, 1], default 0; + + * TONEMAP_DURAND: + + params[1] - result contrast on logarithmic scale. + + params[2] - bilateral filter sigma in the color space. + + params[3] - bilateral filter sigma in the coordinate space. + +exposureFusion +----------- +Fuses a bracketed exposure sequence into a single image without converting to HDR first. + +"Exposure Fusion", Mertens et al., 2007 + +.. ocv:function:: exposureFusion(InputArrayOfArrays src_imgs, OutputArray dst, bool align = false, float wc = 1, float ws = 1, float we = 0) + + :param src_imgs: vector of 8-bit 3-channel images + + :param dst: output image. Although it's a floating-point image tonemapping is not necessary. + + :param align: if true, images are first aligned using median threshold bitmap algorithm. See :ocv:func:`getExpShift`. + + :param wc: contrast factor weight + + :param ws: saturation factor weight + + :param we: well-exposedness factor weight + +getExpShift +----------- +Calculates translation vector that can be used to align img1 with img0. +Uses median threshold bitmap algorithm by Ward. + +"Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 + +.. ocv:function:: getExpShift(InputArray img0, InputArray img1, int max_bits = 6, int exclude_range = 4) + + :param img0: 8-bit 1-channel image + + :param img1: 8-bit 1-channel image + + :param max_bits: logarithm to the base 2 of maximal shift in each dimension + + :param exclude_range: range value for exclusion bitmap. Refer to the article. + +shiftMat +----------- +Shifts image filling the new regions with zeros. + +.. ocv:function:: shiftMat(InputArray src, Point shift, OutputArray dst) + + :param src: input image + + :param shift: shift vector + + :param dst: output image \ No newline at end of file diff --git a/modules/photo/doc/photo.rst b/modules/photo/doc/photo.rst index fa2aa1ecb..c8aefda99 100644 --- a/modules/photo/doc/photo.rst +++ b/modules/photo/doc/photo.rst @@ -9,3 +9,4 @@ photo. Computational Photography inpainting denoising + hdr_imaging \ No newline at end of file diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 3c2ba266b..6caa191b3 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -102,9 +102,6 @@ static void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range) void shiftMat(InputArray _src, Point shift, OutputArray _dst) { Mat src = _src.getMat(); - if(src.depth() != CV_8U) { - CV_Error(Error::StsBadArg, "Image must have CV_8U depth."); - } _dst.create(src.size(), src.type()); Mat dst = _dst.getMat(); From 35a39c19a3456c35d4e69041c4486c11bbc0c987 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Fri, 19 Jul 2013 01:08:42 +0400 Subject: [PATCH 14/55] minor changes --- modules/photo/include/opencv2/photo.hpp | 2 +- modules/photo/src/hdr_fusion.cpp | 18 +++++++++--------- modules/photo/src/tonemap.cpp | 6 +++--- 3 files changed, 13 insertions(+), 13 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index b3d3aaf20..d7fb9e518 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -99,7 +99,7 @@ CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, int algorithm, const std::vector& params = std::vector()); -CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, bool align = false, float wc = 1, float ws = 1, float we = 0); +CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, bool align = false, float wc = 1.0f, float ws = 1.0f, float we = 0.0f); CV_EXPORTS_W void shiftMat(InputArray src, Point shift, OutputArray dst); diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp index 5f2bf814d..4db4b4e38 100644 --- a/modules/photo/src/hdr_fusion.cpp +++ b/modules/photo/src/hdr_fusion.cpp @@ -58,13 +58,13 @@ static void triangleWeights(float weights[]) static void generateResponce(float responce[]) { - for(int i = 0; i < 256; i++) { - responce[i] = log((float)i); + for(int i = 1; i < 256; i++) { + responce[i] = logf((float)i); } responce[0] = responce[1]; } -static void checkImages(std::vector& images, bool hdr, const std::vector& _exp_times = std::vector()) +static void checkImages(const std::vector& images, bool hdr, const std::vector& _exp_times = std::vector()) { if(images.empty()) { CV_Error(Error::StsBadArg, "Need at least one image"); @@ -85,7 +85,7 @@ static void checkImages(std::vector& images, bool hdr, const std::vector& src, std::vector& dst) +static void alignImages(const std::vector& src, std::vector& dst) { dst.resize(src.size()); @@ -120,7 +120,7 @@ void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, O } std::vector exp_times(_exp_times.size()); for(size_t i = 0; i < exp_times.size(); i++) { - exp_times[i] = log(_exp_times[i]); + exp_times[i] = logf(_exp_times[i]); } float weights[256], responce[256]; @@ -144,7 +144,7 @@ void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, O } } for(int channel = 0; channel < 3; channel++) { - res_ptr[channel] = exp(sum[channel] / weight_sum); + res_ptr[channel] = expf(sum[channel] / weight_sum); if(res_ptr[channel] > max) { max = res_ptr[channel]; } @@ -184,7 +184,7 @@ void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, bool align, fl pow(deviation, 2.0, deviation); saturation += deviation; } - sqrt(saturation, saturation); + sqrt(saturation, saturation); wellexp = Mat::ones(gray.size(), CV_32FC1); for(int i = 0; i < 3; i++) { @@ -203,7 +203,7 @@ void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, bool align, fl weights[im] = weights[im].mul(wellexp); weight_sum += weights[im]; } - int maxlevel = (int)(log((double)max(images[0].rows, images[0].cols)) / log(2.0)) - 1; + int maxlevel = static_cast(logf(static_cast(max(images[0].rows, images[0].cols))) / logf(2.0)) - 1; std::vector res_pyr(maxlevel + 1); for(size_t im = 0; im < images.size(); im++) { @@ -242,4 +242,4 @@ void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, bool align, fl res_pyr[0].copyTo(result); } -}; \ No newline at end of file +}; diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 1f0558686..d0ec874ee 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -40,6 +40,7 @@ // //M*/ +#include "precomp.hpp" #include "opencv2/photo.hpp" #include "opencv2/imgproc.hpp" @@ -52,8 +53,7 @@ static float getParam(const std::vector& params, size_t i, float defval) return params[i]; } else { return defval; - } - + } } static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector& params) @@ -63,7 +63,7 @@ static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector& param cvtColor(src_img, gray_img, COLOR_RGB2GRAY); Mat log_img; log(gray_img, log_img); - float mean = exp((float)sum(log_img)[0] / log_img.total()); + float mean = expf(static_cast(sum(log_img)[0]) / log_img.total()); gray_img /= mean; log_img.release(); From b87d2e9ec290cd679e1d548beecfba564c029325 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Fri, 19 Jul 2013 03:10:38 +0400 Subject: [PATCH 15/55] cosmetic change --- modules/photo/src/tonemap.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index d0ec874ee..2da88d127 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -73,7 +73,7 @@ static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector& param Mat map; log(gray_img + 1.0f, map); Mat div; - pow(gray_img / (float)max, log(bias_value) / log(0.5f), div); + pow(gray_img / (float)max, logf(bias_value) / logf(0.5f), div); log(2.0f + 8.0f * div, div); map = map.mul(1.0f / div); map = map.mul(1.0f / gray_img); From 703cf8cef74273bd4e3b491e25005eb0e314a642 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Sun, 21 Jul 2013 13:48:57 +0400 Subject: [PATCH 16/55] Calibration, various changes --- modules/highgui/src/grfmt_hdr.cpp | 19 ++-- modules/highgui/test/test_grfmt.cpp | 4 +- modules/photo/include/opencv2/photo.hpp | 8 +- modules/photo/src/align.cpp | 9 +- modules/photo/src/hdr_fusion.cpp | 141 ++++++++++++++++-------- modules/photo/src/tonemap.cpp | 11 +- modules/photo/test/test_hdr.cpp | 104 +++++++++-------- 7 files changed, 178 insertions(+), 118 deletions(-) diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp index cf4a0e820..13886b8f1 100644 --- a/modules/highgui/src/grfmt_hdr.cpp +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -69,11 +69,13 @@ bool HdrDecoder::readHeader() { file = fopen(m_filename.c_str(), "rb"); if(!file) { - CV_Error(Error::StsError, "HDR decoder: can't open file"); + return false; } RGBE_ReadHeader(file, &m_width, &m_height, NULL); if(m_width <= 0 || m_height <= 0) { - CV_Error(Error::StsError, "HDR decoder: invalid image size"); + fclose(file); + file = NULL; + return false; } return true; } @@ -82,7 +84,9 @@ bool HdrDecoder::readData(Mat& _img) { Mat img(m_height, m_width, CV_32FC3); if(!file) { - readHeader(); + if(!readHeader()) { + return false; + } } RGBE_ReadPixels_RLE(file, const_cast(img.ptr()), img.cols, img.rows); fclose(file); file = NULL; @@ -125,13 +129,10 @@ bool HdrEncoder::write( const Mat& _img, const std::vector& params ) } else { _img.convertTo(img, CV_32FC3, 1/255.0f); } - if(!(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE)) { - CV_Error(Error::StsBadArg, "HDR encoder: wrong compression param"); - } - + CV_Assert(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE); FILE *fout = fopen(m_filename.c_str(), "wb"); if(!fout) { - CV_Error(Error::StsError, "HDR encoder: can't open file"); + return false; } RGBE_WriteHeader(fout, img.cols, img.rows, NULL); @@ -151,7 +152,7 @@ ImageEncoder HdrEncoder::newEncoder() const } bool HdrEncoder::isFormatSupported( int depth ) const { - return depth == CV_32F; + return depth != CV_64F; } } diff --git a/modules/highgui/test/test_grfmt.cpp b/modules/highgui/test/test_grfmt.cpp index 5dae4217f..36664a9f0 100644 --- a/modules/highgui/test/test_grfmt.cpp +++ b/modules/highgui/test/test_grfmt.cpp @@ -410,8 +410,8 @@ TEST(Highgui_WebP, encode_decode_lossy_webp) TEST(Highgui_Hdr, regression) { string folder = string(cvtest::TS::ptr()->get_data_path()) + "../cv/hdr/"; - string name_rle = folder + "grand_canal_rle.hdr"; - string name_no_rle = folder + "grand_canal_no_rle.hdr"; + string name_rle = folder + "rle.hdr"; + string name_no_rle = folder + "no_rle.hdr"; Mat img_rle = imread(name_rle, -1); ASSERT_FALSE(img_rle.empty()) << "Could not open " << name_rle; Mat img_no_rle = imread(name_no_rle, -1); diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index b3d3aaf20..4b2a87c1c 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -94,16 +94,20 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21); -CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, bool align = false); +CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, Mat response = Mat()); CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, int algorithm, const std::vector& params = std::vector()); -CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, bool align = false, float wc = 1, float ws = 1, float we = 0); +CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, float wc = 1, float ws = 1, float we = 0); CV_EXPORTS_W void shiftMat(InputArray src, Point shift, OutputArray dst); CV_EXPORTS_W Point getExpShift(InputArray img0, InputArray img1, int max_bits = 6, int exclude_range = 4); + +CV_EXPORTS_W void estimateResponse(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, int samples = 50, float lambda = 10); + +CV_EXPORTS_W void alignImages(InputArrayOfArrays src, std::vector& dst); } // cv #endif diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 6caa191b3..7261c85a4 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -117,12 +117,8 @@ Point getExpShift(InputArray _img0, InputArray _img1, int max_bits, int exclude_ { Mat img0 = _img0.getMat(); Mat img1 = _img1.getMat(); - if(img0.type() != CV_8UC1 || img1.type() != CV_8UC1) { - CV_Error(Error::StsBadArg, "Images must have CV_8UC1 type."); - } - if(img0.size() != img0.size()) { - CV_Error(Error::StsBadArg, "Image dimensions must be equal."); - } + CV_Assert(img0.type() == CV_8UC1 && img1.type() == CV_8UC1); + CV_Assert(img0.size() == img0.size()); int maxlevel = (int)(log((double)max(img0.rows, img0.cols)) / log(2.0)) - 1; maxlevel = min(maxlevel, max_bits - 1); @@ -161,4 +157,5 @@ Point getExpShift(InputArray _img0, InputArray _img1, int max_bits, int exclude_ } return shift; } + }; diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp index 5f2bf814d..dd9b9b0cf 100644 --- a/modules/photo/src/hdr_fusion.cpp +++ b/modules/photo/src/hdr_fusion.cpp @@ -43,6 +43,8 @@ #include "opencv2/photo.hpp" #include "opencv2/imgproc.hpp" +#include + namespace cv { @@ -56,37 +58,51 @@ static void triangleWeights(float weights[]) } } -static void generateResponce(float responce[]) +static Mat linearResponse() { - for(int i = 0; i < 256; i++) { - responce[i] = log((float)i); + Mat response(256, 1, CV_32F); + for(int i = 1; i < 256; i++) { + response.at(i) = log((float)i); } - responce[0] = responce[1]; + response.at(0) = response.at(1); + return response; +} + +static void modifyCheckResponse(Mat &response) +{ + if(response.empty()) { + response = linearResponse(); + } + CV_Assert(response.rows == 256 && (response.cols == 1 || response.cols == 3)); + response.convertTo(response, CV_32F); + if(response.cols == 1) { + Mat result(256, 3, CV_32F); + for(int i = 0; i < 3; i++) { + response.copyTo(result.col(i)); + } + response = result; + } } static void checkImages(std::vector& images, bool hdr, const std::vector& _exp_times = std::vector()) { - if(images.empty()) { - CV_Error(Error::StsBadArg, "Need at least one image"); - } - if(hdr && images.size() != _exp_times.size()) { - CV_Error(Error::StsBadArg, "Number of images and number of exposure times must be equal."); - } + CV_Assert(!images.empty()); + CV_Assert(!hdr || images.size() == _exp_times.size()); int width = images[0].cols; int height = images[0].rows; + int channels = images[0].channels(); for(size_t i = 0; i < images.size(); i++) { - if(images[i].cols != width || images[i].rows != height) { - CV_Error(Error::StsBadArg, "Image dimensions must be equal."); - } - if(images[i].type() != CV_8UC3) { - CV_Error(Error::StsBadArg, "Images must have CV_8UC3 type."); - } + CV_Assert(images[i].cols == width && images[i].rows == height); + CV_Assert(images[i].channels() == channels && images[i].depth() == CV_8U); } } -static void alignImages(std::vector& src, std::vector& dst) +void alignImages(InputArrayOfArrays _src, std::vector& dst) { + std::vector src; + _src.getMatVector(src); + checkImages(src, false); dst.resize(src.size()); size_t pivot = src.size() / 2; @@ -105,65 +121,55 @@ static void alignImages(std::vector& src, std::vector& dst) } } -void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, OutputArray _dst, bool align) +void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, OutputArray _dst, Mat response) { std::vector images; _images.getMatVector(images); checkImages(images, true, _exp_times); - _dst.create(images[0].size(), CV_32FC3); + modifyCheckResponse(response); + _dst.create(images[0].size(), CV_MAKETYPE(CV_32F, images[0].channels())); Mat result = _dst.getMat(); - if(align) { - std::vector new_images; - alignImages(images, new_images); - images = new_images; - } std::vector exp_times(_exp_times.size()); for(size_t i = 0; i < exp_times.size(); i++) { exp_times[i] = log(_exp_times[i]); } - float weights[256], responce[256]; + float weights[256]; triangleWeights(weights); - generateResponce(responce); - - float max = 0; + + int channels = images[0].channels(); float *res_ptr = result.ptr(); - for(size_t pos = 0; pos < result.total(); pos++, res_ptr += 3) { + for(size_t pos = 0; pos < result.total(); pos++, res_ptr += channels) { - float sum[3] = {0, 0, 0}; + std::vector sum(channels, 0); float weight_sum = 0; for(size_t im = 0; im < images.size(); im++) { - uchar *img_ptr = images[im].ptr() + 3 * pos; - float w = (weights[img_ptr[0]] + weights[img_ptr[1]] + - weights[img_ptr[2]]) / 3; + uchar *img_ptr = images[im].ptr() + channels * pos; + float w = 0; + for(int channel = 0; channel < channels; channel++) { + w += weights[img_ptr[channel]]; + } + w /= channels; weight_sum += w; - for(int channel = 0; channel < 3; channel++) { - sum[channel] += w * (responce[img_ptr[channel]] - exp_times[im]); + for(int channel = 0; channel < channels; channel++) { + sum[channel] += w * (response.at(img_ptr[channel], channel) - exp_times[im]); } } - for(int channel = 0; channel < 3; channel++) { + for(int channel = 0; channel < channels; channel++) { res_ptr[channel] = exp(sum[channel] / weight_sum); - if(res_ptr[channel] > max) { - max = res_ptr[channel]; - } } } - result = result / max; + tonemap(result, result, 0); } -void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, bool align, float wc, float ws, float we) +void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, float wc, float ws, float we) { std::vector images; _images.getMatVector(images); checkImages(images, false); - if(align) { - std::vector new_images; - alignImages(images, new_images); - images = new_images; - } std::vector weights(images.size()); Mat weight_sum = Mat::zeros(images[0].size(), CV_32FC1); for(size_t im = 0; im < images.size(); im++) { @@ -242,4 +248,47 @@ void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, bool align, fl res_pyr[0].copyTo(result); } +void estimateResponse(InputArrayOfArrays _images, const std::vector& exp_times, OutputArray _dst, int samples, float lambda) +{ + std::vector images; + _images.getMatVector(images); + checkImages(images, true, exp_times); + _dst.create(256, images[0].channels(), CV_32F); + Mat response = _dst.getMat(); + + float w[256]; + triangleWeights(w); + + for(int channel = 0; channel < images[0].channels(); channel++) { + Mat A = Mat::zeros(samples * images.size() + 257, 256 + samples, CV_32F); + Mat B = Mat::zeros(A.rows, 1, CV_32F); + + int eq = 0; + for(int i = 0; i < samples; i++) { + + int pos = 3 * (rand() % images[0].total()) + channel; + for(size_t j = 0; j < images.size(); j++) { + + int val = (images[j].ptr() + pos)[0]; + A.at(eq, val) = w[val]; + A.at(eq, 256 + i) = -w[val]; + B.at(eq, 0) = w[val] * log(exp_times[j]); + eq++; + } + } + A.at(eq, 128) = 1; + eq++; + + for(int i = 0; i < 254; i++) { + A.at(eq, i) = lambda * w[i + 1]; + A.at(eq, i + 1) = -2 * lambda * w[i + 1]; + A.at(eq, i + 2) = lambda * w[i + 1]; + eq++; + } + Mat solution; + solve(A, B, solution, DECOMP_SVD); + solution.rowRange(0, 256).copyTo(response.col(channel)); + } +} + }; \ No newline at end of file diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 1f0558686..af2b5d443 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -163,20 +163,15 @@ void tonemap(InputArray _src, OutputArray _dst, int algorithm, NULL, DragoMap, ReinhardDevlinMap, DurandMap}; Mat src = _src.getMat(); - if(src.empty()) { - CV_Error(Error::StsBadArg, "Empty input image"); - } - if(algorithm < 0 || algorithm >= TONEMAP_COUNT) { - CV_Error(Error::StsBadArg, "Wrong algorithm index"); - } - + CV_Assert(!src.empty()); + CV_Assert(0 <= algorithm && algorithm < TONEMAP_COUNT); _dst.create(src.size(), CV_32FC3); Mat dst = _dst.getMat(); src.copyTo(dst); double min, max; minMaxLoc(dst, &min, &max); - if(max - min < 1e-10f) { + if(max - min < DBL_EPSILON) { return; } dst = (dst - min) / (max - min); diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 1db617104..2e3b25731 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -43,79 +43,93 @@ #include "test_precomp.hpp" #include #include +#include using namespace cv; using namespace std; +void loadImage(string path, Mat &img) +{ + img = imread(path, -1); + ASSERT_FALSE(img.empty()) << "Could not load input image " << path; +} + +void checkEqual(Mat img0, Mat img1, double threshold) +{ + double max = 1.0; + minMaxLoc(abs(img0 - img1), NULL, &max); + ASSERT_FALSE(max > threshold); +} + TEST(Photo_HdrFusion, regression) { - string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string fuse_path = test_path + "fusion/"; - vectorfile_names(3); - file_names[0] = folder + "grand_canal_1_45.jpg"; - file_names[1] = folder + "grand_canal_1_180.jpg"; - file_names[2] = folder + "grand_canal_1_750.jpg"; - vectorimages(3); - for(int i = 0; i < 3; i++) { - images[i] = imread(file_names[i]); - ASSERT_FALSE(images[i].empty()) << "Could not load input image " << file_names[i]; + vector times; + vector images; + + ifstream list_file(fuse_path + "list.txt"); + string name; + float val; + while(list_file >> name >> val) { + Mat img = imread(fuse_path + name); + ASSERT_FALSE(img.empty()) << "Could not load input image " << fuse_path + name; + images.push_back(img); + times.push_back(1 / val); } - - string expected_path = folder + "grand_canal_rle.hdr"; - Mat expected = imread(expected_path, -1); - ASSERT_FALSE(expected.empty()) << "Could not load input image " << expected_path; + list_file.close(); + + Mat response, expected(256, 3, CV_32F); + ifstream resp_file(test_path + "response.csv"); + for(int i = 0; i < 256; i++) { + for(int channel = 0; channel < 3; channel++) { + resp_file >> expected.at(i, channel); + resp_file.ignore(1); + } + } + resp_file.close(); + + estimateResponse(images, times, response); + checkEqual(expected, response, 0.001); - vectortimes(3); - times[0] = 1.0f/45.0f; - times[1] = 1.0f/180.0f; - times[2] = 1.0f/750.0f; - Mat result; + loadImage(test_path + "no_calibration.hdr", expected); makeHDR(images, times, result); - double max = 1.0; - minMaxLoc(abs(result - expected), NULL, &max); - ASSERT_TRUE(max < 0.01); + checkEqual(expected, result, 0.01); - expected_path = folder + "grand_canal_exp_fusion.png"; - expected = imread(expected_path); - ASSERT_FALSE(expected.empty()) << "Could not load input image " << expected_path; + loadImage(test_path + "rle.hdr", expected); + makeHDR(images, times, result, response); + checkEqual(expected, result, 0.01); + + loadImage(test_path + "exp_fusion.png", expected); exposureFusion(images, result); result.convertTo(result, CV_8UC3, 255); - minMaxLoc(abs(result - expected), NULL, &max); - ASSERT_FALSE(max > 0); + checkEqual(expected, result, 0); } TEST(Photo_Tonemap, regression) { string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - - vectorfile_names(TONEMAP_COUNT); - file_names[TONEMAP_DRAGO] = folder + "grand_canal_drago_2.2.png"; - file_names[TONEMAP_REINHARD] = folder + "grand_canal_reinhard_2.2.png"; - file_names[TONEMAP_DURAND] = folder + "grand_canal_durand_2.2.png"; - file_names[TONEMAP_LINEAR] = folder + "grand_canal_linear_map_2.2.png"; - vectorimages(TONEMAP_COUNT); for(int i = 0; i < TONEMAP_COUNT; i++) { - images[i] = imread(file_names[i]); - ASSERT_FALSE(images[i].empty()) << "Could not load input image " << file_names[i]; + stringstream stream; + stream << "tonemap" << i << ".png"; + string file_name; + stream >> file_name; + loadImage(folder + "tonemap/" + file_name ,images[i]); } - - string hdr_file_name = folder + "grand_canal_rle.hdr"; - Mat img = imread(hdr_file_name, -1); - ASSERT_FALSE(img.empty()) << "Could not load input image " << hdr_file_name; - + Mat img; + loadImage(folder + "rle.hdr", img); vector param(1); param[0] = 2.2f; - for(int i = TONEMAP_DURAND; i < TONEMAP_COUNT; i++) { + for(int i = 0; i < TONEMAP_COUNT; i++) { Mat result; tonemap(img, result, i, param); result.convertTo(result, CV_8UC3, 255); - double max = 1.0; - minMaxLoc(abs(result - images[i]), NULL, &max); - ASSERT_FALSE(max > 0); + checkEqual(images[i], result, 0); } } @@ -124,7 +138,7 @@ TEST(Photo_Align, regression) const int TESTS_COUNT = 100; string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - string file_name = folder + "grand_canal_1_45.jpg"; + string file_name = folder + "exp_fusion.png"; Mat img = imread(file_name); ASSERT_FALSE(img.empty()) << "Could not load input image " << file_name; cvtColor(img, img, COLOR_RGB2GRAY); From 258b98d15be0724f70c35768b99ca8ce40cf9e4b Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Mon, 29 Jul 2013 21:35:10 +0400 Subject: [PATCH 17/55] Tonemap as Algorithm --- modules/photo/include/opencv2/photo.hpp | 77 +++++++-- modules/photo/src/hdr_fusion.cpp | 1 - modules/photo/src/tonemap.cpp | 203 ++++++++++++++---------- modules/photo/test/test_hdr.cpp | 47 +++--- 4 files changed, 207 insertions(+), 121 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index aeb54d5fe..dc7684ac0 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -59,20 +59,6 @@ enum INPAINT_TELEA = 1 // A. Telea algorithm }; -//! the tonemapping algorithm -enum -{ - TONEMAP_LINEAR, - - TONEMAP_DRAGO, // Adaptive Logarithmic Mapping For - // Displaying High Contrast Scenes - TONEMAP_REINHARD, // Dynamic Range Reduction Inspired - // by Photoreceptor Physiology - TONEMAP_DURAND, // Fast Bilateral Filtering for the - // Display of High-Dynamic-Range Images - TONEMAP_COUNT -}; - //! restores the damaged image areas using one of the available intpainting algorithms CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags ); @@ -96,9 +82,6 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, Mat response = Mat()); -CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, int algorithm, - const std::vector& params = std::vector()); - CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, float wc = 1.0f, float ws = 1.0f, float we = 0.0f); CV_EXPORTS_W void shiftMat(InputArray src, Point shift, OutputArray dst); @@ -108,6 +91,66 @@ CV_EXPORTS_W Point getExpShift(InputArray img0, InputArray img1, int max_bits = CV_EXPORTS_W void estimateResponse(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, int samples = 50, float lambda = 10); CV_EXPORTS_W void alignImages(InputArrayOfArrays src, std::vector& dst); + +class CV_EXPORTS_W Tonemap : public Algorithm +{ +public: + Tonemap(float gamma); + virtual ~Tonemap(); + void process(InputArray src, OutputArray dst); + static Ptr create(const String& name); +protected: + float gamma; + Mat img; + void linearMap(); + void gammaCorrection(); + + virtual void tonemap() = 0; +}; + +class CV_EXPORTS_W TonemapLinear : public Tonemap +{ +public: + TonemapLinear(float gamma = 2.2f); + AlgorithmInfo* info() const; +protected: + void tonemap(); +}; + +class CV_EXPORTS_W TonemapDrago : public Tonemap +{ +public: + TonemapDrago(float gamma = 2.2f, float bias = 0.85f); + AlgorithmInfo* info() const; +protected: + float bias; + void tonemap(); +}; + +class CV_EXPORTS_W TonemapDurand : public Tonemap +{ +public: + TonemapDurand(float gamma = 2.2f, float contrast = 4.0f, float sigma_color = 2.0f, float sigma_space = 2.0f); + AlgorithmInfo* info() const; +protected: + float contrast; + float sigma_color; + float sigma_space; + void tonemap(); +}; + +class CV_EXPORTS_W TonemapReinhardDevlin : public Tonemap +{ +public: + TonemapReinhardDevlin(float gamma = 2.2f, float intensity = 0.0f, float color_adapt = 0.0f, float light_adapt = 1.0f); + AlgorithmInfo* info() const; +protected: + float intensity; + float color_adapt; + float light_adapt; + void tonemap(); +}; + } // cv #endif diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp index 1a4d39ab5..c088933a7 100644 --- a/modules/photo/src/hdr_fusion.cpp +++ b/modules/photo/src/hdr_fusion.cpp @@ -161,7 +161,6 @@ void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, O res_ptr[channel] = exp(sum[channel] / weight_sum); } } - tonemap(result, result, 0); } void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, float wc, float ws, float we) diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 19db4a47f..d515cefda 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -47,20 +47,58 @@ namespace cv { -static float getParam(const std::vector& params, size_t i, float defval) +Tonemap::Tonemap(float gamma) : gamma(gamma) { - if(params.size() > i) { - return params[i]; - } else { - return defval; - } } -static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector& params) +Tonemap::~Tonemap() +{ +} + +void Tonemap::process(InputArray src, OutputArray dst) +{ + Mat srcMat = src.getMat(); + CV_Assert(!srcMat.empty()); + dst.create(srcMat.size(), CV_32FC3); + img = dst.getMat(); + srcMat.copyTo(img); + linearMap(); + tonemap(); + gammaCorrection(); +} + +void Tonemap::linearMap() +{ + double min, max; + minMaxLoc(img, &min, &max); + if(max - min > DBL_EPSILON) { + img = (img - min) / (max - min); + } +} + +void Tonemap::gammaCorrection() +{ + pow(img, 1.0f / gamma, img); +} + +void TonemapLinear::tonemap() +{ +} + +TonemapLinear::TonemapLinear(float gamma) : Tonemap(gamma) +{ +} + +TonemapDrago::TonemapDrago(float gamma, float bias) : + Tonemap(gamma), + bias(bias) +{ +} + +void TonemapDrago::tonemap() { - float bias_value = getParam(params, 1, 0.85f); Mat gray_img; - cvtColor(src_img, gray_img, COLOR_RGB2GRAY); + cvtColor(img, gray_img, COLOR_RGB2GRAY); Mat log_img; log(gray_img, log_img); float mean = expf(static_cast(sum(log_img)[0]) / log_img.total()); @@ -73,7 +111,7 @@ static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector& param Mat map; log(gray_img + 1.0f, map); Mat div; - pow(gray_img / (float)max, logf(bias_value) / logf(0.5f), div); + pow(gray_img / (float)max, logf(bias) / logf(0.5f), div); log(2.0f + 8.0f * div, div); map = map.mul(1.0f / div); map = map.mul(1.0f / gray_img); @@ -81,58 +119,27 @@ static void DragoMap(Mat& src_img, Mat &dst_img, const std::vector& param gray_img.release(); std::vector channels(3); - split(src_img, channels); + split(img, channels); for(int i = 0; i < 3; i++) { channels[i] = channels[i].mul(map); } map.release(); - merge(channels, dst_img); + merge(channels, img); + linearMap(); } -static void ReinhardDevlinMap(Mat& src_img, Mat &dst_img, const std::vector& params) +TonemapDurand::TonemapDurand(float gamma, float contrast, float sigma_color, float sigma_space) : + Tonemap(gamma), + contrast(contrast), + sigma_color(sigma_color), + sigma_space(sigma_space) { - float intensity = getParam(params, 1, 0.0f); - float color_adapt = getParam(params, 2, 0.0f); - float light_adapt = getParam(params, 3, 1.0f); - - Mat gray_img; - cvtColor(src_img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); - - float log_mean = (float)sum(log_img)[0] / log_img.total(); - double log_min, log_max; - minMaxLoc(log_img, &log_min, &log_max); - log_img.release(); - - double key = (float)((log_max - log_mean) / (log_max - log_min)); - float map_key = 0.3f + 0.7f * pow((float)key, 1.4f); - intensity = exp(-intensity); - Scalar chan_mean = mean(src_img); - float gray_mean = (float)mean(gray_img)[0]; - - std::vector channels(3); - split(src_img, channels); - - for(int i = 0; i < 3; i++) { - float global = color_adapt * (float)chan_mean[i] + (1.0f - color_adapt) * gray_mean; - Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; - adapt = light_adapt * adapt + (1.0f - light_adapt) * global; - pow(intensity * adapt, map_key, adapt); - channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); - } - gray_img.release(); - merge(channels, dst_img); } -static void DurandMap(Mat& src_img, Mat& dst_img, const std::vector& params) +void TonemapDurand::tonemap() { - float contrast = getParam(params, 1, 4.0f); - float sigma_color = getParam(params, 2, 2.0f); - float sigma_space = getParam(params, 3, 2.0f); - - Mat gray_img; - cvtColor(src_img, gray_img, COLOR_RGB2GRAY); + Mat gray_img; + cvtColor(img, gray_img, COLOR_RGB2GRAY); Mat log_img; log(gray_img, log_img); Mat map_img; @@ -148,39 +155,75 @@ static void DurandMap(Mat& src_img, Mat& dst_img, const std::vector& para gray_img.release(); std::vector channels(3); - split(src_img, channels); + split(img, channels); for(int i = 0; i < 3; i++) { channels[i] = channels[i].mul(map_img); } - merge(channels, dst_img); + merge(channels, img); } -void tonemap(InputArray _src, OutputArray _dst, int algorithm, - const std::vector& params) +TonemapReinhardDevlin::TonemapReinhardDevlin(float gamma, float intensity, float color_adapt, float light_adapt) : + Tonemap(gamma), + intensity(intensity), + color_adapt(color_adapt), + light_adapt(light_adapt) { - typedef void (*tonemap_func)(Mat&, Mat&, const std::vector&); - tonemap_func functions[TONEMAP_COUNT] = { - NULL, DragoMap, ReinhardDevlinMap, DurandMap}; - - Mat src = _src.getMat(); - CV_Assert(!src.empty()); - CV_Assert(0 <= algorithm && algorithm < TONEMAP_COUNT); - _dst.create(src.size(), CV_32FC3); - Mat dst = _dst.getMat(); - src.copyTo(dst); - - double min, max; - minMaxLoc(dst, &min, &max); - if(max - min < DBL_EPSILON) { - return; - } - dst = (dst - min) / (max - min); - if(functions[algorithm]) { - functions[algorithm](dst, dst, params); - } - minMaxLoc(dst, &min, &max); - dst = (dst - min) / (max - min); - float gamma = getParam(params, 0, 1.0f); - pow(dst, 1.0f / gamma, dst); } + +void TonemapReinhardDevlin::tonemap() +{ + Mat gray_img; + cvtColor(img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + + float log_mean = (float)sum(log_img)[0] / log_img.total(); + double log_min, log_max; + minMaxLoc(log_img, &log_min, &log_max); + log_img.release(); + + double key = (float)((log_max - log_mean) / (log_max - log_min)); + float map_key = 0.3f + 0.7f * pow((float)key, 1.4f); + intensity = exp(-intensity); + Scalar chan_mean = mean(img); + float gray_mean = (float)mean(gray_img)[0]; + + std::vector channels(3); + split(img, channels); + + for(int i = 0; i < 3; i++) { + float global = color_adapt * (float)chan_mean[i] + (1.0f - color_adapt) * gray_mean; + Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; + adapt = light_adapt * adapt + (1.0f - light_adapt) * global; + pow(intensity * adapt, map_key, adapt); + channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); + } + gray_img.release(); + merge(channels, img); + linearMap(); +} + +Ptr Tonemap::create(const String& TonemapType) +{ + return Algorithm::create("Tonemap." + TonemapType); +} + +CV_INIT_ALGORITHM(TonemapLinear, "Tonemap.Linear", + obj.info()->addParam(obj, "gamma", obj.gamma)); + +CV_INIT_ALGORITHM(TonemapDrago, "Tonemap.Drago", + obj.info()->addParam(obj, "gamma", obj.gamma); + obj.info()->addParam(obj, "bias", obj.bias)); + +CV_INIT_ALGORITHM(TonemapDurand, "Tonemap.Durand", + obj.info()->addParam(obj, "gamma", obj.gamma); + obj.info()->addParam(obj, "contrast", obj.contrast); + obj.info()->addParam(obj, "sigma_color", obj.sigma_color); + obj.info()->addParam(obj, "sigma_space", obj.sigma_space)); + +CV_INIT_ALGORITHM(TonemapReinhardDevlin, "Tonemap.ReinhardDevlin", + obj.info()->addParam(obj, "gamma", obj.gamma); + obj.info()->addParam(obj, "intensity", obj.intensity); + obj.info()->addParam(obj, "color_adapt", obj.color_adapt); + obj.info()->addParam(obj, "light_adapt", obj.light_adapt)); } diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 2e3b25731..9420e971e 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -70,6 +70,7 @@ TEST(Photo_HdrFusion, regression) vector images; ifstream list_file(fuse_path + "list.txt"); + ASSERT_TRUE(list_file.is_open()); string name; float val; while(list_file >> name >> val) { @@ -110,48 +111,48 @@ TEST(Photo_HdrFusion, regression) TEST(Photo_Tonemap, regression) { - string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - vectorimages(TONEMAP_COUNT); - for(int i = 0; i < TONEMAP_COUNT; i++) { - stringstream stream; - stream << "tonemap" << i << ".png"; - string file_name; - stream >> file_name; - loadImage(folder + "tonemap/" + file_name ,images[i]); - } - Mat img; - loadImage(folder + "rle.hdr", img); - vector param(1); - param[0] = 2.2f; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/tonemap/"; - for(int i = 0; i < TONEMAP_COUNT; i++) { - + Mat img; + loadImage(test_path + "../rle.hdr", img); + ifstream list_file(test_path + "list.txt"); + ASSERT_TRUE(list_file.is_open()); + + string name; + while(list_file >> name) { + Mat expected = imread(test_path + name + ".png"); + ASSERT_FALSE(img.empty()) << "Could not load input image " << test_path + name + ".png"; + Ptr mapper = Tonemap::create(name); + ASSERT_FALSE(mapper.empty()) << "Could not find mapper " << name; Mat result; - tonemap(img, result, i, param); + mapper->process(img, result); result.convertTo(result, CV_8UC3, 255); - checkEqual(images[i], result, 0); + checkEqual(expected, result, 0); } + list_file.close(); } TEST(Photo_Align, regression) { const int TESTS_COUNT = 100; - string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string folder = string(cvtest::TS::ptr()->get_data_path()) + "shared/"; - string file_name = folder + "exp_fusion.png"; + string file_name = folder + "lena.png"; Mat img = imread(file_name); ASSERT_FALSE(img.empty()) << "Could not load input image " << file_name; cvtColor(img, img, COLOR_RGB2GRAY); - int max_bits = 6; - int max_shift = 64; - srand(time(0)); + int max_bits = 5; + int max_shift = 32; + srand(static_cast(time(0))); + int errors = 0; for(int i = 0; i < TESTS_COUNT; i++) { Point shift(rand() % max_shift, rand() % max_shift); Mat res; shiftMat(img, shift, res); Point calc = getExpShift(img, res, max_bits); - ASSERT_TRUE(calc == -shift); + errors += (calc != -shift); } + ASSERT_TRUE(errors < 5); } From 4d2ea847fa40bab8b3a556d1b14bc13fb71238b0 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Wed, 31 Jul 2013 16:05:31 +0400 Subject: [PATCH 18/55] Tonemap as 3.0 algorithm --- modules/photo/include/opencv2/photo.hpp | 79 ++--- modules/photo/src/align.cpp | 161 --------- modules/photo/src/hdr_fusion.cpp | 294 ---------------- modules/photo/src/tonemap.cpp | 445 ++++++++++++++++-------- modules/photo/test/test_hdr.cpp | 239 ++++++++----- 5 files changed, 474 insertions(+), 744 deletions(-) delete mode 100644 modules/photo/src/hdr_fusion.cpp diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index dc7684ac0..aa3044048 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -59,6 +59,8 @@ enum INPAINT_TELEA = 1 // A. Telea algorithm }; +CV_EXPORTS_W bool initModule_photo(); + //! restores the damaged image areas using one of the available intpainting algorithms CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags ); @@ -80,77 +82,62 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21); -CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, Mat response = Mat()); - -CV_EXPORTS_W void exposureFusion(InputArrayOfArrays srcImgs, OutputArray dst, float wc = 1.0f, float ws = 1.0f, float we = 0.0f); - -CV_EXPORTS_W void shiftMat(InputArray src, Point shift, OutputArray dst); - -CV_EXPORTS_W Point getExpShift(InputArray img0, InputArray img1, int max_bits = 6, int exclude_range = 4); - -CV_EXPORTS_W void estimateResponse(InputArrayOfArrays srcImgs, const std::vector& exp_times, OutputArray dst, int samples = 50, float lambda = 10); - -CV_EXPORTS_W void alignImages(InputArrayOfArrays src, std::vector& dst); - class CV_EXPORTS_W Tonemap : public Algorithm { public: - Tonemap(float gamma); - virtual ~Tonemap(); - void process(InputArray src, OutputArray dst); - static Ptr create(const String& name); -protected: - float gamma; - Mat img; - void linearMap(); - void gammaCorrection(); + CV_WRAP virtual void process(InputArray src, OutputArray dst) = 0; - virtual void tonemap() = 0; + CV_WRAP virtual float getGamma() const = 0; + CV_WRAP virtual void setGamma(float gamma) = 0; }; class CV_EXPORTS_W TonemapLinear : public Tonemap { -public: - TonemapLinear(float gamma = 2.2f); - AlgorithmInfo* info() const; -protected: - void tonemap(); }; +CV_EXPORTS_W Ptr createTonemapLinear(float gamma = 1.0f); + class CV_EXPORTS_W TonemapDrago : public Tonemap { public: - TonemapDrago(float gamma = 2.2f, float bias = 0.85f); - AlgorithmInfo* info() const; -protected: - float bias; - void tonemap(); + CV_WRAP virtual float getBias() const = 0; + CV_WRAP virtual void setBias(float bias) = 0; }; +CV_EXPORTS_W Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f); + class CV_EXPORTS_W TonemapDurand : public Tonemap { public: - TonemapDurand(float gamma = 2.2f, float contrast = 4.0f, float sigma_color = 2.0f, float sigma_space = 2.0f); - AlgorithmInfo* info() const; -protected: - float contrast; - float sigma_color; - float sigma_space; - void tonemap(); + CV_WRAP virtual float getContrast() const = 0; + CV_WRAP virtual void setContrast(float contrast) = 0; + + CV_WRAP virtual float getSigmaSpace() const = 0; + CV_WRAP virtual void setSigmaSpace(float sigma_space) = 0; + + CV_WRAP virtual float getSigmaColor() const = 0; + CV_WRAP virtual void setSigmaColor(float sigma_color) = 0; }; +CV_EXPORTS_W Ptr +createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); + class CV_EXPORTS_W TonemapReinhardDevlin : public Tonemap { public: - TonemapReinhardDevlin(float gamma = 2.2f, float intensity = 0.0f, float color_adapt = 0.0f, float light_adapt = 1.0f); - AlgorithmInfo* info() const; -protected: - float intensity; - float color_adapt; - float light_adapt; - void tonemap(); + CV_WRAP virtual float getIntensity() const = 0; + CV_WRAP virtual void setIntensity(float intensity) = 0; + + CV_WRAP virtual float getLightAdaptation() const = 0; + CV_WRAP virtual void setLightAdaptation(float light_adapt) = 0; + + CV_WRAP virtual float getColorAdaptation() const = 0; + CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0; }; +CV_EXPORTS_W Ptr +createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f); + } // cv #endif diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 7261c85a4..e69de29bb 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -1,161 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#include "precomp.hpp" -#include "opencv2/photo.hpp" -#include "opencv2/imgproc.hpp" - -namespace cv -{ - -static void downsample(Mat& src, Mat& dst) -{ - dst = Mat(src.rows / 2, src.cols / 2, CV_8UC1); - - int offset = src.cols * 2; - uchar *src_ptr = src.ptr(); - uchar *dst_ptr = dst.ptr(); - for(int y = 0; y < dst.rows; y ++) { - uchar *ptr = src_ptr; - for(int x = 0; x < dst.cols; x++) { - dst_ptr[0] = ptr[0]; - dst_ptr++; - ptr += 2; - } - src_ptr += offset; - } -} - -static void buildPyr(Mat& img, std::vector& pyr, int maxlevel) -{ - pyr.resize(maxlevel + 1); - pyr[0] = img.clone(); - for(int level = 0; level < maxlevel; level++) { - downsample(pyr[level], pyr[level + 1]); - } -} - -static int getMedian(Mat& img) -{ - int channels = 0; - Mat hist; - int hist_size = 256; - float range[] = {0, 256} ; - const float* ranges[] = {range}; - calcHist(&img, 1, &channels, Mat(), hist, 1, &hist_size, ranges); - float *ptr = hist.ptr(); - int median = 0, sum = 0; - int thresh = img.total() / 2; - while(sum < thresh && median < 256) { - sum += (int)ptr[median]; - median++; - } - return median; -} - -static void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range) -{ - int median = getMedian(img); - compare(img, median, tb, CMP_GT); - compare(abs(img - median), exclude_range, eb, CMP_GT); -} - -void shiftMat(InputArray _src, Point shift, OutputArray _dst) -{ - Mat src = _src.getMat(); - _dst.create(src.size(), src.type()); - Mat dst = _dst.getMat(); - - dst = Mat::zeros(src.size(), src.type()); - int width = src.cols - abs(shift.x); - int height = src.rows - abs(shift.y); - Rect dst_rect(max(shift.x, 0), max(shift.y, 0), width, height); - Rect src_rect(max(-shift.x, 0), max(-shift.y, 0), width, height); - src(src_rect).copyTo(dst(dst_rect)); -} - -Point getExpShift(InputArray _img0, InputArray _img1, int max_bits, int exclude_range) -{ - Mat img0 = _img0.getMat(); - Mat img1 = _img1.getMat(); - CV_Assert(img0.type() == CV_8UC1 && img1.type() == CV_8UC1); - CV_Assert(img0.size() == img0.size()); - int maxlevel = (int)(log((double)max(img0.rows, img0.cols)) / log(2.0)) - 1; - maxlevel = min(maxlevel, max_bits - 1); - - std::vector pyr0; - std::vector pyr1; - buildPyr(img0, pyr0, maxlevel); - buildPyr(img1, pyr1, maxlevel); - - Point shift(0, 0); - for(int level = maxlevel; level >= 0; level--) { - - shift *= 2; - Mat tb1, tb2, eb1, eb2; - computeBitmaps(pyr0[level], tb1, eb1, exclude_range); - computeBitmaps(pyr1[level], tb2, eb2, exclude_range); - - int min_err = pyr0[level].total(); - Point new_shift(shift); - for(int i = -1; i <= 1; i++) { - for(int j = -1; j <= 1; j++) { - Point test_shift = shift + Point(i, j); - Mat shifted_tb2, shifted_eb2, diff; - shiftMat(tb2, test_shift, shifted_tb2); - shiftMat(eb2, test_shift, shifted_eb2); - bitwise_xor(tb1, shifted_tb2, diff); - bitwise_and(diff, eb1, diff); - bitwise_and(diff, shifted_eb2, diff); - int err = countNonZero(diff); - if(err < min_err) { - new_shift = test_shift; - min_err = err; - } - } - } - shift = new_shift; - } - return shift; -} - -}; diff --git a/modules/photo/src/hdr_fusion.cpp b/modules/photo/src/hdr_fusion.cpp deleted file mode 100644 index c088933a7..000000000 --- a/modules/photo/src/hdr_fusion.cpp +++ /dev/null @@ -1,294 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#include "opencv2/photo.hpp" -#include "opencv2/imgproc.hpp" - -#include - -namespace cv -{ - -static void triangleWeights(float weights[]) -{ - for(int i = 0; i < 128; i++) { - weights[i] = i + 1.0f; - } - for(int i = 128; i < 256; i++) { - weights[i] = 256.0f - i; - } -} - -static Mat linearResponse() -{ - Mat response(256, 1, CV_32F); - for(int i = 1; i < 256; i++) { - response.at(i) = logf((float)i); - } - response.at(0) = response.at(1); - return response; -} - -static void modifyCheckResponse(Mat &response) -{ - if(response.empty()) { - response = linearResponse(); - } - CV_Assert(response.rows == 256 && (response.cols == 1 || response.cols == 3)); - response.convertTo(response, CV_32F); - if(response.cols == 1) { - Mat result(256, 3, CV_32F); - for(int i = 0; i < 3; i++) { - response.copyTo(result.col(i)); - } - response = result; - } -} - -static void checkImages(const std::vector& images, bool hdr, const std::vector& _exp_times = std::vector()) -{ - CV_Assert(!images.empty()); - CV_Assert(!hdr || images.size() == _exp_times.size()); - int width = images[0].cols; - int height = images[0].rows; - int channels = images[0].channels(); - for(size_t i = 0; i < images.size(); i++) { - - CV_Assert(images[i].cols == width && images[i].rows == height); - CV_Assert(images[i].channels() == channels && images[i].depth() == CV_8U); - } -} - -void alignImages(InputArrayOfArrays _src, std::vector& dst) -{ - std::vector src; - _src.getMatVector(src); - checkImages(src, false); - dst.resize(src.size()); - - size_t pivot = src.size() / 2; - dst[pivot] = src[pivot]; - Mat gray_base; - cvtColor(src[pivot], gray_base, COLOR_RGB2GRAY); - - for(size_t i = 0; i < src.size(); i++) { - if(i == pivot) { - continue; - } - Mat gray; - cvtColor(src[i], gray, COLOR_RGB2GRAY); - Point shift = getExpShift(gray_base, gray); - shiftMat(src[i], shift, dst[i]); - } -} - -void makeHDR(InputArrayOfArrays _images, const std::vector& _exp_times, OutputArray _dst, Mat response) -{ - std::vector images; - _images.getMatVector(images); - checkImages(images, true, _exp_times); - modifyCheckResponse(response); - _dst.create(images[0].size(), CV_MAKETYPE(CV_32F, images[0].channels())); - Mat result = _dst.getMat(); - - std::vector exp_times(_exp_times.size()); - for(size_t i = 0; i < exp_times.size(); i++) { - exp_times[i] = logf(_exp_times[i]); - } - - float weights[256]; - triangleWeights(weights); - - int channels = images[0].channels(); - float *res_ptr = result.ptr(); - for(size_t pos = 0; pos < result.total(); pos++, res_ptr += channels) { - - std::vector sum(channels, 0); - float weight_sum = 0; - for(size_t im = 0; im < images.size(); im++) { - - uchar *img_ptr = images[im].ptr() + channels * pos; - float w = 0; - for(int channel = 0; channel < channels; channel++) { - w += weights[img_ptr[channel]]; - } - w /= channels; - weight_sum += w; - for(int channel = 0; channel < channels; channel++) { - sum[channel] += w * (response.at(img_ptr[channel], channel) - exp_times[im]); - } - } - for(int channel = 0; channel < channels; channel++) { - res_ptr[channel] = exp(sum[channel] / weight_sum); - } - } -} - -void exposureFusion(InputArrayOfArrays _images, OutputArray _dst, float wc, float ws, float we) -{ - std::vector images; - _images.getMatVector(images); - checkImages(images, false); - - std::vector weights(images.size()); - Mat weight_sum = Mat::zeros(images[0].size(), CV_32FC1); - for(size_t im = 0; im < images.size(); im++) { - Mat img, gray, contrast, saturation, wellexp; - std::vector channels(3); - - images[im].convertTo(img, CV_32FC3, 1.0/255.0); - cvtColor(img, gray, COLOR_RGB2GRAY); - split(img, channels); - - Laplacian(gray, contrast, CV_32F); - contrast = abs(contrast); - - Mat mean = (channels[0] + channels[1] + channels[2]) / 3.0f; - saturation = Mat::zeros(channels[0].size(), CV_32FC1); - for(int i = 0; i < 3; i++) { - Mat deviation = channels[i] - mean; - pow(deviation, 2.0, deviation); - saturation += deviation; - } - sqrt(saturation, saturation); - - wellexp = Mat::ones(gray.size(), CV_32FC1); - for(int i = 0; i < 3; i++) { - Mat exp = channels[i] - 0.5f; - pow(exp, 2, exp); - exp = -exp / 0.08; - wellexp = wellexp.mul(exp); - } - - pow(contrast, wc, contrast); - pow(saturation, ws, saturation); - pow(wellexp, we, wellexp); - - weights[im] = contrast; - weights[im] = weights[im].mul(saturation); - weights[im] = weights[im].mul(wellexp); - weight_sum += weights[im]; - } - int maxlevel = static_cast(logf(static_cast(max(images[0].rows, images[0].cols))) / logf(2.0)) - 1; - std::vector res_pyr(maxlevel + 1); - - for(size_t im = 0; im < images.size(); im++) { - weights[im] /= weight_sum; - Mat img; - images[im].convertTo(img, CV_32FC3, 1/255.0); - std::vector img_pyr, weight_pyr; - buildPyramid(img, img_pyr, maxlevel); - buildPyramid(weights[im], weight_pyr, maxlevel); - for(int lvl = 0; lvl < maxlevel; lvl++) { - Mat up; - pyrUp(img_pyr[lvl + 1], up, img_pyr[lvl].size()); - img_pyr[lvl] -= up; - } - for(int lvl = 0; lvl <= maxlevel; lvl++) { - std::vector channels(3); - split(img_pyr[lvl], channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(weight_pyr[lvl]); - } - merge(channels, img_pyr[lvl]); - if(res_pyr[lvl].empty()) { - res_pyr[lvl] = img_pyr[lvl]; - } else { - res_pyr[lvl] += img_pyr[lvl]; - } - } - } - for(int lvl = maxlevel; lvl > 0; lvl--) { - Mat up; - pyrUp(res_pyr[lvl], up, res_pyr[lvl - 1].size()); - res_pyr[lvl - 1] += up; - } - _dst.create(images[0].size(), CV_32FC3); - Mat result = _dst.getMat(); - res_pyr[0].copyTo(result); -} - -void estimateResponse(InputArrayOfArrays _images, const std::vector& exp_times, OutputArray _dst, int samples, float lambda) -{ - std::vector images; - _images.getMatVector(images); - checkImages(images, true, exp_times); - _dst.create(256, images[0].channels(), CV_32F); - Mat response = _dst.getMat(); - - float w[256]; - triangleWeights(w); - - for(int channel = 0; channel < images[0].channels(); channel++) { - Mat A = Mat::zeros(samples * images.size() + 257, 256 + samples, CV_32F); - Mat B = Mat::zeros(A.rows, 1, CV_32F); - - int eq = 0; - for(int i = 0; i < samples; i++) { - - int pos = 3 * (rand() % images[0].total()) + channel; - for(size_t j = 0; j < images.size(); j++) { - - int val = (images[j].ptr() + pos)[0]; - A.at(eq, val) = w[val]; - A.at(eq, 256 + i) = -w[val]; - B.at(eq, 0) = w[val] * log(exp_times[j]); - eq++; - } - } - A.at(eq, 128) = 1; - eq++; - - for(int i = 0; i < 254; i++) { - A.at(eq, i) = lambda * w[i + 1]; - A.at(eq, i + 1) = -2 * lambda * w[i + 1]; - A.at(eq, i + 2) = lambda * w[i + 1]; - eq++; - } - Mat solution; - solve(A, B, solution, DECOMP_SVD); - solution.rowRange(0, 256).copyTo(response.col(channel)); - } -} - -}; - diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index d515cefda..f503be90e 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -47,183 +47,320 @@ namespace cv { -Tonemap::Tonemap(float gamma) : gamma(gamma) +class TonemapLinearImpl : public TonemapLinear { -} +public: + TonemapLinearImpl(float gamma) : gamma(gamma), name("TonemapLinear") + { + } -Tonemap::~Tonemap() -{ -} + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat dst = _dst.getMat(); + + double min, max; + minMaxLoc(src, &min, &max); + if(max - min > DBL_EPSILON) { + dst = (src - min) / (max - min); + } else { + src.copyTo(dst); + } -void Tonemap::process(InputArray src, OutputArray dst) -{ - Mat srcMat = src.getMat(); - CV_Assert(!srcMat.empty()); - dst.create(srcMat.size(), CV_32FC3); - img = dst.getMat(); - srcMat.copyTo(img); - linearMap(); - tonemap(); - gammaCorrection(); -} + pow(dst, 1.0f / gamma, dst); + } -void Tonemap::linearMap() -{ - double min, max; - minMaxLoc(img, &min, &max); - if(max - min > DBL_EPSILON) { - img = (img - min) / (max - min); + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "gamma" << gamma; } -} -void Tonemap::gammaCorrection() -{ - pow(img, 1.0f / gamma, img); -} - -void TonemapLinear::tonemap() -{ -} - -TonemapLinear::TonemapLinear(float gamma) : Tonemap(gamma) -{ -} - -TonemapDrago::TonemapDrago(float gamma, float bias) : - Tonemap(gamma), - bias(bias) -{ -} - -void TonemapDrago::tonemap() -{ - Mat gray_img; - cvtColor(img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); - float mean = expf(static_cast(sum(log_img)[0]) / log_img.total()); - gray_img /= mean; - log_img.release(); - - double max; - minMaxLoc(gray_img, NULL, &max); - - Mat map; - log(gray_img + 1.0f, map); - Mat div; - pow(gray_img / (float)max, logf(bias) / logf(0.5f), div); - log(2.0f + 8.0f * div, div); - map = map.mul(1.0f / div); - map = map.mul(1.0f / gray_img); - div.release(); - gray_img.release(); - - std::vector channels(3); - split(img, channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(map); + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + gamma = fn["gamma"]; } - map.release(); - merge(channels, img); - linearMap(); + +protected: + String name; + float gamma; +}; + +Ptr createTonemapLinear(float gamma) +{ + return new TonemapLinearImpl(gamma); } -TonemapDurand::TonemapDurand(float gamma, float contrast, float sigma_color, float sigma_space) : - Tonemap(gamma), - contrast(contrast), - sigma_color(sigma_color), - sigma_space(sigma_space) +class TonemapDragoImpl : public TonemapDrago { -} +public: + TonemapDragoImpl(float gamma, float bias) : + gamma(gamma), + bias(bias), + name("TonemapLinear") + { + } -void TonemapDurand::tonemap() + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat img = _dst.getMat(); + + Ptr linear = createTonemapLinear(1.0f); + linear->process(src, img); + + Mat gray_img; + cvtColor(img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + float mean = expf(static_cast(sum(log_img)[0]) / log_img.total()); + gray_img /= mean; + log_img.release(); + + double max; + minMaxLoc(gray_img, NULL, &max); + + Mat map; + log(gray_img + 1.0f, map); + Mat div; + pow(gray_img / (float)max, logf(bias) / logf(0.5f), div); + log(2.0f + 8.0f * div, div); + map = map.mul(1.0f / div); + map = map.mul(1.0f / gray_img); + div.release(); + gray_img.release(); + + std::vector channels(3); + split(img, channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(map); + } + map.release(); + merge(channels, img); + + linear->setGamma(gamma); + linear->process(img, img); + } + + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } + + float getBias() const { return bias; } + void setBias(float val) { bias = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "gamma" << gamma + << "bias" << bias; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + gamma = fn["gamma"]; + bias = fn["bias"]; + } + +protected: + String name; + float gamma, bias; +}; + +Ptr createTonemapDrago(float gamma, float bias) { - Mat gray_img; - cvtColor(img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); - Mat map_img; - bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space); + return new TonemapDragoImpl(gamma, bias); +} + +class TonemapDurandImpl : public TonemapDurand +{ +public: + TonemapDurandImpl(float gamma, float contrast, float sigma_color, float sigma_space) : + gamma(gamma), + contrast(contrast), + sigma_color(sigma_color), + sigma_space(sigma_space), + name("TonemapDurand") + { + } + + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat dst = _dst.getMat(); + + Mat gray_img; + cvtColor(src, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + Mat map_img; + bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space); - double min, max; - minMaxLoc(map_img, &min, &max); - float scale = contrast / (float)(max - min); + double min, max; + minMaxLoc(map_img, &min, &max); + float scale = contrast / (float)(max - min); - exp(map_img * (scale - 1.0f) + log_img, map_img); - log_img.release(); - map_img = map_img.mul(1.0f / gray_img); - gray_img.release(); + exp(map_img * (scale - 1.0f) + log_img, map_img); + log_img.release(); + map_img = map_img.mul(1.0f / gray_img); + gray_img.release(); - std::vector channels(3); - split(img, channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(map_img); + std::vector channels(3); + split(src, channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(map_img); + } + merge(channels, dst); + pow(dst, 1.0f / gamma, dst); + } + + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } + + float getContrast() const { return contrast; } + void setContrast(float val) { contrast = val; } + + float getSigmaColor() const { return sigma_color; } + void setSigmaColor(float val) { sigma_color = val; } + + float getSigmaSpace() const { return sigma_space; } + void setSigmaSpace(float val) { sigma_space = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "gamma" << gamma + << "contrast" << contrast + << "sigma_color" << sigma_color + << "sigma_space" << sigma_space; } - merge(channels, img); -} -TonemapReinhardDevlin::TonemapReinhardDevlin(float gamma, float intensity, float color_adapt, float light_adapt) : - Tonemap(gamma), - intensity(intensity), - color_adapt(color_adapt), - light_adapt(light_adapt) -{ -} - -void TonemapReinhardDevlin::tonemap() -{ - Mat gray_img; - cvtColor(img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); - - float log_mean = (float)sum(log_img)[0] / log_img.total(); - double log_min, log_max; - minMaxLoc(log_img, &log_min, &log_max); - log_img.release(); - - double key = (float)((log_max - log_mean) / (log_max - log_min)); - float map_key = 0.3f + 0.7f * pow((float)key, 1.4f); - intensity = exp(-intensity); - Scalar chan_mean = mean(img); - float gray_mean = (float)mean(gray_img)[0]; - - std::vector channels(3); - split(img, channels); - - for(int i = 0; i < 3; i++) { - float global = color_adapt * (float)chan_mean[i] + (1.0f - color_adapt) * gray_mean; - Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; - adapt = light_adapt * adapt + (1.0f - light_adapt) * global; - pow(intensity * adapt, map_key, adapt); - channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + gamma = fn["gamma"]; + contrast = fn["contrast"]; + sigma_color = fn["sigma_color"]; + sigma_space = fn["sigma_space"]; } - gray_img.release(); - merge(channels, img); - linearMap(); -} -Ptr Tonemap::create(const String& TonemapType) +protected: + String name; + float gamma, contrast, sigma_color, sigma_space; +}; + +Ptr createTonemapDurand(float gamma, float contrast, float sigma_color, float sigma_space) { - return Algorithm::create("Tonemap." + TonemapType); + return new TonemapDurandImpl(gamma, contrast, sigma_color, sigma_space); } -CV_INIT_ALGORITHM(TonemapLinear, "Tonemap.Linear", - obj.info()->addParam(obj, "gamma", obj.gamma)); +class TonemapReinhardDevlinImpl : public TonemapReinhardDevlin +{ +public: + TonemapReinhardDevlinImpl(float gamma, float intensity, float light_adapt, float color_adapt) : + gamma(gamma), + intensity(intensity), + light_adapt(light_adapt), + color_adapt(color_adapt), + name("TonemapReinhardDevlin") + { + } -CV_INIT_ALGORITHM(TonemapDrago, "Tonemap.Drago", - obj.info()->addParam(obj, "gamma", obj.gamma); - obj.info()->addParam(obj, "bias", obj.bias)); + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat img = _dst.getMat(); + + Ptr linear = createTonemapLinear(1.0f); + linear->process(src, img); + + Mat gray_img; + cvtColor(img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); -CV_INIT_ALGORITHM(TonemapDurand, "Tonemap.Durand", - obj.info()->addParam(obj, "gamma", obj.gamma); - obj.info()->addParam(obj, "contrast", obj.contrast); - obj.info()->addParam(obj, "sigma_color", obj.sigma_color); - obj.info()->addParam(obj, "sigma_space", obj.sigma_space)); + float log_mean = (float)sum(log_img)[0] / log_img.total(); + double log_min, log_max; + minMaxLoc(log_img, &log_min, &log_max); + log_img.release(); -CV_INIT_ALGORITHM(TonemapReinhardDevlin, "Tonemap.ReinhardDevlin", - obj.info()->addParam(obj, "gamma", obj.gamma); - obj.info()->addParam(obj, "intensity", obj.intensity); - obj.info()->addParam(obj, "color_adapt", obj.color_adapt); - obj.info()->addParam(obj, "light_adapt", obj.light_adapt)); + double key = (float)((log_max - log_mean) / (log_max - log_min)); + float map_key = 0.3f + 0.7f * pow((float)key, 1.4f); + intensity = exp(-intensity); + Scalar chan_mean = mean(img); + float gray_mean = (float)mean(gray_img)[0]; + + std::vector channels(3); + split(img, channels); + + for(int i = 0; i < 3; i++) { + float global = color_adapt * (float)chan_mean[i] + (1.0f - color_adapt) * gray_mean; + Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; + adapt = light_adapt * adapt + (1.0f - light_adapt) * global; + pow(intensity * adapt, map_key, adapt); + channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); + } + gray_img.release(); + merge(channels, img); + + linear->setGamma(gamma); + linear->process(img, img); + } + + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } + + float getIntensity() const { return intensity; } + void setIntensity(float val) { intensity = val; } + + float getLightAdaptation() const { return light_adapt; } + void setLightAdaptation(float val) { light_adapt = val; } + + float getColorAdaptation() const { return color_adapt; } + void setColorAdaptation(float val) { color_adapt = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "gamma" << gamma + << "intensity" << intensity + << "light_adapt" << light_adapt + << "color_adapt" << color_adapt; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + gamma = fn["gamma"]; + intensity = fn["intensity"]; + light_adapt = fn["light_adapt"]; + color_adapt = fn["color_adapt"]; + } + +protected: + String name; + float gamma, intensity, light_adapt, color_adapt; +}; + +Ptr createTonemapReinhardDevlin(float gamma, float contrast, float sigma_color, float sigma_space) +{ + return new TonemapReinhardDevlinImpl(gamma, contrast, sigma_color, sigma_space); } + +} \ No newline at end of file diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 9420e971e..61b0cdab4 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -61,98 +61,159 @@ void checkEqual(Mat img0, Mat img1, double threshold) ASSERT_FALSE(max > threshold); } -TEST(Photo_HdrFusion, regression) -{ - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - string fuse_path = test_path + "fusion/"; - - vector times; - vector images; - - ifstream list_file(fuse_path + "list.txt"); - ASSERT_TRUE(list_file.is_open()); - string name; - float val; - while(list_file >> name >> val) { - Mat img = imread(fuse_path + name); - ASSERT_FALSE(img.empty()) << "Could not load input image " << fuse_path + name; - images.push_back(img); - times.push_back(1 / val); - } - list_file.close(); - - Mat response, expected(256, 3, CV_32F); - ifstream resp_file(test_path + "response.csv"); - for(int i = 0; i < 256; i++) { - for(int channel = 0; channel < 3; channel++) { - resp_file >> expected.at(i, channel); - resp_file.ignore(1); - } - } - resp_file.close(); - - estimateResponse(images, times, response); - checkEqual(expected, response, 0.001); - - Mat result; - loadImage(test_path + "no_calibration.hdr", expected); - makeHDR(images, times, result); - checkEqual(expected, result, 0.01); - - loadImage(test_path + "rle.hdr", expected); - makeHDR(images, times, result, response); - checkEqual(expected, result, 0.01); - - loadImage(test_path + "exp_fusion.png", expected); - exposureFusion(images, result); - result.convertTo(result, CV_8UC3, 255); - checkEqual(expected, result, 0); -} - TEST(Photo_Tonemap, regression) { - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/tonemap/"; - - Mat img; - loadImage(test_path + "../rle.hdr", img); - ifstream list_file(test_path + "list.txt"); - ASSERT_TRUE(list_file.is_open()); - - string name; - while(list_file >> name) { - Mat expected = imread(test_path + name + ".png"); - ASSERT_FALSE(img.empty()) << "Could not load input image " << test_path + name + ".png"; - Ptr mapper = Tonemap::create(name); - ASSERT_FALSE(mapper.empty()) << "Could not find mapper " << name; - Mat result; - mapper->process(img, result); - result.convertTo(result, CV_8UC3, 255); - checkEqual(expected, result, 0); - } - list_file.close(); -} - -TEST(Photo_Align, regression) -{ - const int TESTS_COUNT = 100; - string folder = string(cvtest::TS::ptr()->get_data_path()) + "shared/"; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - string file_name = folder + "lena.png"; - Mat img = imread(file_name); - ASSERT_FALSE(img.empty()) << "Could not load input image " << file_name; - cvtColor(img, img, COLOR_RGB2GRAY); + Mat img, expected, result; + loadImage(test_path + "rle.hdr", img); + float gamma = 2.2f; + test_path += "tonemap/"; + + Ptr linear = createTonemapLinear(gamma); + linear->process(img, result); + loadImage(test_path + "linear.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 0); - int max_bits = 5; - int max_shift = 32; - srand(static_cast(time(0))); - int errors = 0; + Ptr drago = createTonemapDrago(gamma); + drago->process(img, result); + loadImage(test_path + "drago.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 0); - for(int i = 0; i < TESTS_COUNT; i++) { - Point shift(rand() % max_shift, rand() % max_shift); - Mat res; - shiftMat(img, shift, res); - Point calc = getExpShift(img, res, max_bits); - errors += (calc != -shift); - } - ASSERT_TRUE(errors < 5); + Ptr durand = createTonemapDurand(gamma); + durand->process(img, result); + loadImage(test_path + "durand.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 0); + + Ptr reinhard_devlin = createTonemapReinhardDevlin(gamma); + reinhard_devlin->process(img, result); + loadImage(test_path + "reinhard_devlin.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 0); } + + + +//void loadExposureSeq(String fuse_path, vector& images, vector& times = vector()) +//{ +// ifstream list_file(fuse_path + "list.txt"); +// ASSERT_TRUE(list_file.is_open()); +// string name; +// float val; +// while(list_file >> name >> val) { +// Mat img = imread(fuse_path + name); +// ASSERT_FALSE(img.empty()) << "Could not load input image " << fuse_path + name; +// images.push_back(img); +// times.push_back(1 / val); +// } +// list_file.close(); +//} +//// +////TEST(Photo_MergeMertens, regression) +////{ +//// string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; +//// string fuse_path = test_path + "fusion/"; +//// +//// vector images; +//// loadExposureSeq(fuse_path, images); +//// +//// MergeMertens merge; +//// +//// Mat result, expected; +//// loadImage(test_path + "exp_fusion.png", expected); +//// merge.process(images, result); +//// result.convertTo(result, CV_8UC3, 255); +//// checkEqual(expected, result, 0); +////} +// +//TEST(Photo_Debevec, regression) +//{ +// string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; +// string fuse_path = test_path + "fusion/"; +// +// vector times; +// vector images; +// +// loadExposureSeq(fuse_path, images, times); +// +// Mat response, expected(256, 3, CV_32F); +// ifstream resp_file(test_path + "response.csv"); +// for(int i = 0; i < 256; i++) { +// for(int channel = 0; channel < 3; channel++) { +// resp_file >> expected.at(i, channel); +// resp_file.ignore(1); +// } +// } +// resp_file.close(); +// +// CalibrateDebevec calib; +// MergeDebevec merge; +// +// //calib.process(images, response, times); +// //checkEqual(expected, response, 0.001); +// // +// Mat result; +// loadImage(test_path + "no_calibration.hdr", expected); +// merge.process(images, result, times); +// checkEqual(expected, result, 0.01); +// +// //loadImage(test_path + "rle.hdr", expected); +// //merge.process(images, result, times, response); +// //checkEqual(expected, result, 0.01); +//} +// +//TEST(Photo_Tonemap, regression) +//{ +// initModule_photo(); +// string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/tonemap/"; +// Mat img; +// loadImage(test_path + "../rle.hdr", img); +// +// vector algorithms; +// Algorithm::getList(algorithms); +// for(size_t i = 0; i < algorithms.size(); i++) { +// String str = algorithms[i]; +// size_t dot = str.find('.'); +// if(dot != String::npos && str.substr(0, dot).compare("Tonemap") == 0) { +// String algo_name = str.substr(dot + 1, str.size()); +// Mat expected; +// loadImage(test_path + algo_name.toLowerCase() + ".png", expected); +// Ptr mapper = Tonemap::create(algo_name); +// ASSERT_FALSE(mapper.empty()) << algo_name; +// Mat result; +// mapper->process(img, result); +// result.convertTo(result, CV_8UC3, 255); +// checkEqual(expected, result, 0); +// } +// } +////} +//// +////TEST(Photo_AlignMTB, regression) +////{ +//// const int TESTS_COUNT = 100; +//// string folder = string(cvtest::TS::ptr()->get_data_path()) + "shared/"; +//// +//// string file_name = folder + "lena.png"; +//// Mat img = imread(file_name); +//// ASSERT_FALSE(img.empty()) << "Could not load input image " << file_name; +//// cvtColor(img, img, COLOR_RGB2GRAY); +//// +//// int max_bits = 5; +//// int max_shift = 32; +//// srand(static_cast(time(0))); +//// int errors = 0; +//// +//// AlignMTB align(max_bits); +//// +//// for(int i = 0; i < TESTS_COUNT; i++) { +//// Point shift(rand() % max_shift, rand() % max_shift); +//// Mat res; +//// align.shiftMat(img, shift, res); +//// Point calc = align.getExpShift(img, res); +//// errors += (calc != -shift); +//// } +//// ASSERT_TRUE(errors < 5); +////} From 302bf23f825cb93d5081ba7dc78c0c693c778baf Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Thu, 1 Aug 2013 03:24:47 +0400 Subject: [PATCH 19/55] All hdr functions as Algorithms --- modules/highgui/test/test_grfmt.cpp | 2 +- modules/photo/include/opencv2/photo.hpp | 82 ++++++++ modules/photo/src/align.cpp | 235 +++++++++++++++++++++ modules/photo/src/calibrate.cpp | 139 +++++++++++++ modules/photo/src/denoising.cpp | 4 +- modules/photo/src/hdr_common.cpp | 74 +++++++ modules/photo/src/hdr_common.hpp | 58 ++++++ modules/photo/src/merge.cpp | 263 ++++++++++++++++++++++++ modules/photo/src/tonemap.cpp | 14 +- modules/photo/test/test_hdr.cpp | 227 ++++++++++---------- 10 files changed, 966 insertions(+), 132 deletions(-) create mode 100644 modules/photo/src/calibrate.cpp create mode 100644 modules/photo/src/hdr_common.cpp create mode 100644 modules/photo/src/hdr_common.hpp create mode 100644 modules/photo/src/merge.cpp diff --git a/modules/highgui/test/test_grfmt.cpp b/modules/highgui/test/test_grfmt.cpp index 36664a9f0..f10d20e01 100644 --- a/modules/highgui/test/test_grfmt.cpp +++ b/modules/highgui/test/test_grfmt.cpp @@ -409,7 +409,7 @@ TEST(Highgui_WebP, encode_decode_lossy_webp) TEST(Highgui_Hdr, regression) { - string folder = string(cvtest::TS::ptr()->get_data_path()) + "../cv/hdr/"; + string folder = string(cvtest::TS::ptr()->get_data_path()) + "../cv/hdr/format/"; string name_rle = folder + "rle.hdr"; string name_no_rle = folder + "no_rle.hdr"; Mat img_rle = imread(name_rle, -1); diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index aa3044048..f2b664b1e 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -138,6 +138,88 @@ public: CV_EXPORTS_W Ptr createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f); +class CV_EXPORTS_W ExposureAlign : public Algorithm +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + const std::vector& times, InputArray response) = 0; +}; + +class CV_EXPORTS_W AlignMTB : public ExposureAlign +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + const std::vector& times, InputArray response) = 0; + + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst) = 0; + + CV_WRAP virtual void calculateShift(InputArray img0, InputArray img1, Point& shift) = 0; + CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0; + + CV_WRAP virtual int getMaxBits() const = 0; + CV_WRAP virtual void setMaxBits(int max_bits) = 0; + + CV_WRAP virtual int getExcludeRange() const = 0; + CV_WRAP virtual void setExcludeRange(int exclude_range) = 0; +}; + +CV_EXPORTS_W Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4); + +class CV_EXPORTS_W ExposureCalibrate : public Algorithm +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) = 0; +}; + +class CV_EXPORTS_W CalibrateDebevec : public ExposureCalibrate +{ +public: + CV_WRAP virtual float getLambda() const = 0; + CV_WRAP virtual void setLambda(float lambda) = 0; + + CV_WRAP virtual int getSamples() const = 0; + CV_WRAP virtual void setSamples(int samples) = 0; +}; + +CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f); + +class CV_EXPORTS_W ExposureMerge : public Algorithm +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; +}; + +class CV_EXPORTS_W MergeDebevec : public ExposureMerge +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) = 0; +}; + +CV_EXPORTS_W Ptr createMergeDebevec(); + +class CV_EXPORTS_W MergeMertens : public ExposureMerge +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; + + CV_WRAP virtual float getContrastWeight() const = 0; + CV_WRAP virtual void setContrastWeight(float contrast_weiht) = 0; + + CV_WRAP virtual float getSaturationWeight() const = 0; + CV_WRAP virtual void setSaturationWeight(float saturation_weight) = 0; + + CV_WRAP virtual float getExposureWeight() const = 0; + CV_WRAP virtual void setExposureWeight(float exposure_weight) = 0; +}; + +CV_EXPORTS_W Ptr +createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f); + } // cv #endif diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index e69de29bb..804aabb6b 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -0,0 +1,235 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "precomp.hpp" +#include "opencv2/photo.hpp" +#include "opencv2/imgproc.hpp" +#include "hdr_common.hpp" + +namespace cv +{ + +class AlignMTBImpl : public AlignMTB +{ +public: + AlignMTBImpl(int max_bits, int exclude_range) : + max_bits(max_bits), + exclude_range(exclude_range), + name("AlignMTB") + { + } + + void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + const std::vector& times, InputArray response) + { + process(src, dst); + } + + void process(InputArrayOfArrays _src, OutputArray _dst) + { + std::vector src, dst; + _src.getMatVector(src); + _dst.getMatVector(dst); + + checkImageDimensions(src); + dst.resize(src.size()); + + size_t pivot = src.size() / 2; + dst[pivot] = src[pivot]; + Mat gray_base; + cvtColor(src[pivot], gray_base, COLOR_RGB2GRAY); + + for(size_t i = 0; i < src.size(); i++) { + if(i == pivot) { + continue; + } + Mat gray; + cvtColor(src[i], gray, COLOR_RGB2GRAY); + Point shift; + calculateShift(gray_base, gray, shift); + shiftMat(src[i], dst[i], shift); + } + } + + void calculateShift(InputArray _img0, InputArray _img1, Point& shift) + { + Mat img0 = _img0.getMat(); + Mat img1 = _img1.getMat(); + CV_Assert(img0.channels() == 1 && img0.type() == img1.type()); + CV_Assert(img0.size() == img0.size()); + + int maxlevel = static_cast(log((double)max(img0.rows, img0.cols)) / log(2.0)) - 1; + maxlevel = min(maxlevel, max_bits - 1); + + std::vector pyr0; + std::vector pyr1; + buildPyr(img0, pyr0, maxlevel); + buildPyr(img1, pyr1, maxlevel); + + shift = Point(0, 0); + for(int level = maxlevel; level >= 0; level--) { + + shift *= 2; + Mat tb1, tb2, eb1, eb2; + computeBitmaps(pyr0[level], tb1, eb1, exclude_range); + computeBitmaps(pyr1[level], tb2, eb2, exclude_range); + + int min_err = pyr0[level].total(); + Point new_shift(shift); + for(int i = -1; i <= 1; i++) { + for(int j = -1; j <= 1; j++) { + Point test_shift = shift + Point(i, j); + Mat shifted_tb2, shifted_eb2, diff; + shiftMat(tb2, shifted_tb2, test_shift); + shiftMat(eb2, shifted_eb2, test_shift); + bitwise_xor(tb1, shifted_tb2, diff); + bitwise_and(diff, eb1, diff); + bitwise_and(diff, shifted_eb2, diff); + int err = countNonZero(diff); + if(err < min_err) { + new_shift = test_shift; + min_err = err; + } + } + } + shift = new_shift; + } + } + + void shiftMat(InputArray _src, OutputArray _dst, const Point shift) + { + Mat src = _src.getMat(); + _dst.create(src.size(), src.type()); + Mat dst = _dst.getMat(); + + dst = Mat::zeros(src.size(), src.type()); + int width = src.cols - abs(shift.x); + int height = src.rows - abs(shift.y); + Rect dst_rect(max(shift.x, 0), max(shift.y, 0), width, height); + Rect src_rect(max(-shift.x, 0), max(-shift.y, 0), width, height); + src(src_rect).copyTo(dst(dst_rect)); + } + + int getMaxBits() const { return max_bits; } + void setMaxBits(int val) { max_bits = val; } + + int getExcludeRange() const { return exclude_range; } + void setExcludeRange(int val) { exclude_range = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "max_bits" << max_bits + << "exclude_range" << exclude_range; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + max_bits = fn["max_bits"]; + exclude_range = fn["exclude_range"]; + } + +protected: + String name; + int max_bits, exclude_range; + + void downsample(Mat& src, Mat& dst) + { + dst = Mat(src.rows / 2, src.cols / 2, CV_8UC1); + + int offset = src.cols * 2; + uchar *src_ptr = src.ptr(); + uchar *dst_ptr = dst.ptr(); + for(int y = 0; y < dst.rows; y ++) { + uchar *ptr = src_ptr; + for(int x = 0; x < dst.cols; x++) { + dst_ptr[0] = ptr[0]; + dst_ptr++; + ptr += 2; + } + src_ptr += offset; + } + } + + void buildPyr(Mat& img, std::vector& pyr, int maxlevel) + { + pyr.resize(maxlevel + 1); + pyr[0] = img.clone(); + for(int level = 0; level < maxlevel; level++) { + downsample(pyr[level], pyr[level + 1]); + } + } + + int getMedian(Mat& img) + { + int channels = 0; + Mat hist; + int hist_size = 256; + float range[] = {0, 256} ; + const float* ranges[] = {range}; + calcHist(&img, 1, &channels, Mat(), hist, 1, &hist_size, ranges); + float *ptr = hist.ptr(); + int median = 0, sum = 0; + int thresh = img.total() / 2; + while(sum < thresh && median < 256) { + sum += static_cast(ptr[median]); + median++; + } + return median; + } + + void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range) + { + int median = getMedian(img); + compare(img, median, tb, CMP_GT); + compare(abs(img - median), exclude_range, eb, CMP_GT); + } +}; + +CV_EXPORTS_W Ptr createAlignMTB(int max_bits, int exclude_range) +{ + return new AlignMTBImpl(max_bits, exclude_range); +} + +} \ No newline at end of file diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp new file mode 100644 index 000000000..73a9c333f --- /dev/null +++ b/modules/photo/src/calibrate.cpp @@ -0,0 +1,139 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "precomp.hpp" +#include "opencv2/photo.hpp" +#include "opencv2/imgproc.hpp" +#include "hdr_common.hpp" + +namespace cv +{ + +class CalibrateDebevecImpl : public CalibrateDebevec +{ +public: + CalibrateDebevecImpl(int samples, float lambda) : + samples(samples), + lambda(lambda), + name("CalibrateDebevec"), + w(tringleWeights()) + { + } + + void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) + { + std::vector images; + src.getMatVector(images); + dst.create(256, images[0].channels(), CV_32F); + Mat response = dst.getMat(); + + CV_Assert(!images.empty() && images.size() == times.size()); + CV_Assert(images[0].depth() == CV_8U); + checkImageDimensions(images); + + for(int channel = 0; channel < images[0].channels(); channel++) { + Mat A = Mat::zeros(samples * images.size() + 257, 256 + samples, CV_32F); + Mat B = Mat::zeros(A.rows, 1, CV_32F); + + int eq = 0; + for(int i = 0; i < samples; i++) { + + int pos = 3 * (rand() % images[0].total()) + channel; + for(size_t j = 0; j < images.size(); j++) { + + int val = (images[j].ptr() + pos)[0]; + A.at(eq, val) = w.at(val); + A.at(eq, 256 + i) = -w.at(val); + B.at(eq, 0) = w.at(val) * log(times[j]); + eq++; + } + } + A.at(eq, 128) = 1; + eq++; + + for(int i = 0; i < 254; i++) { + A.at(eq, i) = lambda * w.at(i + 1); + A.at(eq, i + 1) = -2 * lambda * w.at(i + 1); + A.at(eq, i + 2) = lambda * w.at(i + 1); + eq++; + } + Mat solution; + solve(A, B, solution, DECOMP_SVD); + solution.rowRange(0, 256).copyTo(response.col(channel)); + } + exp(response, response); + } + + int getSamples() const { return samples; } + void setSamples(int val) { samples = val; } + + float getLambda() const { return lambda; } + void setLambda(float val) { lambda = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "samples" << samples + << "lambda" << lambda; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + samples = fn["samples"]; + lambda = fn["lambda"]; + } + +protected: + String name; + int samples; + float lambda; + Mat w; +}; + +Ptr createCalibrateDebevec(int samples, float lambda) +{ + return new CalibrateDebevecImpl(samples, lambda); +} + +} \ No newline at end of file diff --git a/modules/photo/src/denoising.cpp b/modules/photo/src/denoising.cpp index d61a05f7e..834757898 100644 --- a/modules/photo/src/denoising.cpp +++ b/modules/photo/src/denoising.cpp @@ -116,7 +116,7 @@ static void fastNlMeansDenoisingMultiCheckPreconditions( int imgToDenoiseIndex, int temporalWindowSize, int templateWindowSize, int searchWindowSize) { - int src_imgs_size = (int)srcImgs.size(); + int src_imgs_size = static_cast(srcImgs.size()); if (src_imgs_size == 0) { CV_Error(Error::StsBadArg, "Input images vector should not be empty!"); } @@ -198,7 +198,7 @@ void cv::fastNlMeansDenoisingColoredMulti( InputArrayOfArrays _srcImgs, OutputAr _dst.create(srcImgs[0].size(), srcImgs[0].type()); Mat dst = _dst.getMat(); - int src_imgs_size = (int)srcImgs.size(); + int src_imgs_size = static_cast(srcImgs.size()); if (srcImgs[0].type() != CV_8UC3) { CV_Error(Error::StsBadArg, "Type of input images should be CV_8UC3!"); diff --git a/modules/photo/src/hdr_common.cpp b/modules/photo/src/hdr_common.cpp new file mode 100644 index 000000000..202eb01c6 --- /dev/null +++ b/modules/photo/src/hdr_common.cpp @@ -0,0 +1,74 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "precomp.hpp" +#include "opencv2/photo.hpp" +#include "hdr_common.hpp" + +namespace cv +{ + +void checkImageDimensions(const std::vector& images) +{ + CV_Assert(!images.empty()); + int width = images[0].cols; + int height = images[0].rows; + int type = images[0].type(); + + for(size_t i = 0; i < images.size(); i++) { + CV_Assert(images[i].cols == width && images[i].rows == height); + CV_Assert(images[i].type() == type); + } +} + +Mat tringleWeights() +{ + Mat w(256, 3, CV_32F); + for(int i = 0; i < 256; i++) { + for(int j = 0; j < 3; j++) { + w.at(i, j) = i < 128 ? i + 1.0f : 256.0f - i; + } + } + return w; +} + +}; \ No newline at end of file diff --git a/modules/photo/src/hdr_common.hpp b/modules/photo/src/hdr_common.hpp new file mode 100644 index 000000000..63cfe445c --- /dev/null +++ b/modules/photo/src/hdr_common.hpp @@ -0,0 +1,58 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#ifndef __OPENCV_HDR_COMMON_HPP__ +#define __OPENCV_HDR_COMMON_HPP__ + +#include "precomp.hpp" +#include "opencv2/photo.hpp" + +namespace cv +{ + +void checkImageDimensions(const std::vector& images); + +Mat tringleWeights(); + +}; + +#endif \ No newline at end of file diff --git a/modules/photo/src/merge.cpp b/modules/photo/src/merge.cpp new file mode 100644 index 000000000..011b58347 --- /dev/null +++ b/modules/photo/src/merge.cpp @@ -0,0 +1,263 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of the copyright holders may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ + +#include "precomp.hpp" +#include "opencv2/photo.hpp" +#include "opencv2/imgproc.hpp" +#include "hdr_common.hpp" +#include + +namespace cv +{ + +class MergeDebevecImpl : public MergeDebevec +{ +public: + MergeDebevecImpl() : + name("MergeDebevec"), + weights(tringleWeights()) + { + } + + void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray input_response) + { + std::vector images; + src.getMatVector(images); + dst.create(images[0].size(), CV_MAKETYPE(CV_32F, images[0].channels())); + Mat result = dst.getMat(); + + CV_Assert(images.size() == times.size()); + CV_Assert(images[0].depth() == CV_8U); + checkImageDimensions(images); + + Mat response = input_response.getMat(); + CV_Assert(response.rows == 256 && response.cols >= images[0].channels()); + Mat log_response; + log(response, log_response); + + std::vector exp_times(times.size()); + for(size_t i = 0; i < exp_times.size(); i++) { + exp_times[i] = logf(times[i]); + } + + int channels = images[0].channels(); + float *res_ptr = result.ptr(); + for(size_t pos = 0; pos < result.total(); pos++, res_ptr += channels) { + + std::vector sum(channels, 0); + float weight_sum = 0; + for(size_t im = 0; im < images.size(); im++) { + + uchar *img_ptr = images[im].ptr() + channels * pos; + float w = 0; + for(int channel = 0; channel < channels; channel++) { + w += weights.at(img_ptr[channel]); + } + w /= channels; + weight_sum += w; + for(int channel = 0; channel < channels; channel++) { + sum[channel] += w * (log_response.at(img_ptr[channel], channel) - exp_times[im]); + } + } + for(int channel = 0; channel < channels; channel++) { + res_ptr[channel] = exp(sum[channel] / weight_sum); + } + } + } + + void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) + { + Mat response(256, 3, CV_32F); + for(int i = 0; i < 256; i++) { + for(int j = 0; j < 3; j++) { + response.at(i, j) = max(i, 1); + } + } + process(src, dst, times, response); + } + +protected: + String name; + Mat weights; +}; + +Ptr createMergeDebevec() +{ + return new MergeDebevecImpl; +} + +class MergeMertensImpl : public MergeMertens +{ +public: + MergeMertensImpl(float wcon, float wsat, float wexp) : + wcon(wcon), + wsat(wsat), + wexp(wexp), + name("MergeMertens") + { + } + + void process(InputArrayOfArrays src, OutputArrayOfArrays dst, const std::vector& times, InputArray response) + { + process(src, dst); + } + + void process(InputArrayOfArrays src, OutputArray dst) + { + std::vector images; + src.getMatVector(images); + checkImageDimensions(images); + + std::vector weights(images.size()); + Mat weight_sum = Mat::zeros(images[0].size(), CV_32FC1); + for(size_t im = 0; im < images.size(); im++) { + Mat img, gray, contrast, saturation, wellexp; + std::vector channels(3); + + images[im].convertTo(img, CV_32FC3, 1.0/255.0); + cvtColor(img, gray, COLOR_RGB2GRAY); + split(img, channels); + + Laplacian(gray, contrast, CV_32F); + contrast = abs(contrast); + + Mat mean = (channels[0] + channels[1] + channels[2]) / 3.0f; + saturation = Mat::zeros(channels[0].size(), CV_32FC1); + for(int i = 0; i < 3; i++) { + Mat deviation = channels[i] - mean; + pow(deviation, 2.0, deviation); + saturation += deviation; + } + sqrt(saturation, saturation); + + wellexp = Mat::ones(gray.size(), CV_32FC1); + for(int i = 0; i < 3; i++) { + Mat exp = channels[i] - 0.5f; + pow(exp, 2, exp); + exp = -exp / 0.08; + wellexp = wellexp.mul(exp); + } + + pow(contrast, wcon, contrast); + pow(saturation, wsat, saturation); + pow(wellexp, wexp, wellexp); + + weights[im] = contrast; + weights[im] = weights[im].mul(saturation); + weights[im] = weights[im].mul(wellexp); + weight_sum += weights[im]; + } + int maxlevel = static_cast(logf(static_cast(max(images[0].rows, images[0].cols))) / logf(2.0)) - 1; + std::vector res_pyr(maxlevel + 1); + + for(size_t im = 0; im < images.size(); im++) { + weights[im] /= weight_sum; + Mat img; + images[im].convertTo(img, CV_32FC3, 1/255.0); + std::vector img_pyr, weight_pyr; + buildPyramid(img, img_pyr, maxlevel); + buildPyramid(weights[im], weight_pyr, maxlevel); + for(int lvl = 0; lvl < maxlevel; lvl++) { + Mat up; + pyrUp(img_pyr[lvl + 1], up, img_pyr[lvl].size()); + img_pyr[lvl] -= up; + } + for(int lvl = 0; lvl <= maxlevel; lvl++) { + std::vector channels(3); + split(img_pyr[lvl], channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(weight_pyr[lvl]); + } + merge(channels, img_pyr[lvl]); + if(res_pyr[lvl].empty()) { + res_pyr[lvl] = img_pyr[lvl]; + } else { + res_pyr[lvl] += img_pyr[lvl]; + } + } + } + for(int lvl = maxlevel; lvl > 0; lvl--) { + Mat up; + pyrUp(res_pyr[lvl], up, res_pyr[lvl - 1].size()); + res_pyr[lvl - 1] += up; + } + dst.create(images[0].size(), CV_32FC3); + res_pyr[0].copyTo(dst.getMat()); + } + + float getContrastWeight() const { return wcon; } + void setContrastWeight(float val) { wcon = val; } + + float getSaturationWeight() const { return wsat; } + void setSaturationWeight(float val) { wsat = val; } + + float getExposureWeight() const { return wexp; } + void setExposureWeight(float val) { wexp = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "contrast_weight" << wcon + << "saturation_weight" << wsat + << "exposure_weight" << wexp; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + wcon = fn["contrast_weight"]; + wsat = fn["saturation_weight"]; + wexp = fn["exposure_weight"]; + } + +protected: + String name; + float wcon, wsat, wexp; +}; + +Ptr createMergeMertens(float wcon, float wsat, float wexp) +{ + return new MergeMertensImpl(wcon, wsat, wexp); +} + +} \ No newline at end of file diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index f503be90e..62725cb05 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -132,7 +132,7 @@ public: Mat map; log(gray_img + 1.0f, map); Mat div; - pow(gray_img / (float)max, logf(bias) / logf(0.5f), div); + pow(gray_img / static_cast(max), logf(bias) / logf(0.5f), div); log(2.0f + 8.0f * div, div); map = map.mul(1.0f / div); map = map.mul(1.0f / gray_img); @@ -210,7 +210,7 @@ public: double min, max; minMaxLoc(map_img, &min, &max); - float scale = contrast / (float)(max - min); + float scale = contrast / static_cast(max - min); exp(map_img * (scale - 1.0f) + log_img, map_img); log_img.release(); @@ -294,22 +294,22 @@ public: Mat log_img; log(gray_img, log_img); - float log_mean = (float)sum(log_img)[0] / log_img.total(); + float log_mean = static_cast(sum(log_img)[0] / log_img.total()); double log_min, log_max; minMaxLoc(log_img, &log_min, &log_max); log_img.release(); - double key = (float)((log_max - log_mean) / (log_max - log_min)); - float map_key = 0.3f + 0.7f * pow((float)key, 1.4f); + double key = static_cast((log_max - log_mean) / (log_max - log_min)); + float map_key = 0.3f + 0.7f * pow(static_cast(key), 1.4f); intensity = exp(-intensity); Scalar chan_mean = mean(img); - float gray_mean = (float)mean(gray_img)[0]; + float gray_mean = static_cast(mean(gray_img)[0]); std::vector channels(3); split(img, channels); for(int i = 0; i < 3; i++) { - float global = color_adapt * (float)chan_mean[i] + (1.0f - color_adapt) * gray_mean; + float global = color_adapt * static_cast(chan_mean[i]) + (1.0f - color_adapt) * gray_mean; Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; adapt = light_adapt * adapt + (1.0f - light_adapt) * global; pow(intensity * adapt, map_key, adapt); diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 61b0cdab4..dd44b1612 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -58,7 +58,35 @@ void checkEqual(Mat img0, Mat img1, double threshold) { double max = 1.0; minMaxLoc(abs(img0 - img1), NULL, &max); - ASSERT_FALSE(max > threshold); + ASSERT_FALSE(max > threshold) << max; +} + +void loadExposureSeq(String path, vector& images, vector& times = vector()) +{ + ifstream list_file(path + "list.txt"); + ASSERT_TRUE(list_file.is_open()); + string name; + float val; + while(list_file >> name >> val) { + Mat img = imread(path + name); + ASSERT_FALSE(img.empty()) << "Could not load input image " << path + name; + images.push_back(img); + times.push_back(1 / val); + } + list_file.close(); +} + +void loadResponseCSV(String path, Mat& response) +{ + response = Mat(256, 3, CV_32F); + ifstream resp_file(path); + for(int i = 0; i < 256; i++) { + for(int channel = 0; channel < 3; channel++) { + resp_file >> response.at(i, channel); + resp_file.ignore(1); + } + } + resp_file.close(); } TEST(Photo_Tonemap, regression) @@ -90,130 +118,85 @@ TEST(Photo_Tonemap, regression) Ptr reinhard_devlin = createTonemapReinhardDevlin(gamma); reinhard_devlin->process(img, result); - loadImage(test_path + "reinhard_devlin.png", expected); + loadImage(test_path + "reinharddevlin.png", expected); result.convertTo(result, CV_8UC3, 255); checkEqual(result, expected, 0); } +TEST(Photo_AlignMTB, regression) +{ + const int TESTS_COUNT = 100; + string folder = string(cvtest::TS::ptr()->get_data_path()) + "shared/"; + + string file_name = folder + "lena.png"; + Mat img; + loadImage(file_name, img); + cvtColor(img, img, COLOR_RGB2GRAY); + int max_bits = 5; + int max_shift = 32; + srand(static_cast(time(0))); + int errors = 0; -//void loadExposureSeq(String fuse_path, vector& images, vector& times = vector()) -//{ -// ifstream list_file(fuse_path + "list.txt"); -// ASSERT_TRUE(list_file.is_open()); -// string name; -// float val; -// while(list_file >> name >> val) { -// Mat img = imread(fuse_path + name); -// ASSERT_FALSE(img.empty()) << "Could not load input image " << fuse_path + name; -// images.push_back(img); -// times.push_back(1 / val); -// } -// list_file.close(); -//} -//// -////TEST(Photo_MergeMertens, regression) -////{ -//// string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; -//// string fuse_path = test_path + "fusion/"; -//// -//// vector images; -//// loadExposureSeq(fuse_path, images); -//// -//// MergeMertens merge; -//// -//// Mat result, expected; -//// loadImage(test_path + "exp_fusion.png", expected); -//// merge.process(images, result); -//// result.convertTo(result, CV_8UC3, 255); -//// checkEqual(expected, result, 0); -////} -// -//TEST(Photo_Debevec, regression) -//{ -// string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; -// string fuse_path = test_path + "fusion/"; -// -// vector times; -// vector images; -// -// loadExposureSeq(fuse_path, images, times); -// -// Mat response, expected(256, 3, CV_32F); -// ifstream resp_file(test_path + "response.csv"); -// for(int i = 0; i < 256; i++) { -// for(int channel = 0; channel < 3; channel++) { -// resp_file >> expected.at(i, channel); -// resp_file.ignore(1); -// } -// } -// resp_file.close(); -// -// CalibrateDebevec calib; -// MergeDebevec merge; -// -// //calib.process(images, response, times); -// //checkEqual(expected, response, 0.001); -// // -// Mat result; -// loadImage(test_path + "no_calibration.hdr", expected); -// merge.process(images, result, times); -// checkEqual(expected, result, 0.01); -// -// //loadImage(test_path + "rle.hdr", expected); -// //merge.process(images, result, times, response); -// //checkEqual(expected, result, 0.01); -//} -// -//TEST(Photo_Tonemap, regression) -//{ -// initModule_photo(); -// string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/tonemap/"; -// Mat img; -// loadImage(test_path + "../rle.hdr", img); -// -// vector algorithms; -// Algorithm::getList(algorithms); -// for(size_t i = 0; i < algorithms.size(); i++) { -// String str = algorithms[i]; -// size_t dot = str.find('.'); -// if(dot != String::npos && str.substr(0, dot).compare("Tonemap") == 0) { -// String algo_name = str.substr(dot + 1, str.size()); -// Mat expected; -// loadImage(test_path + algo_name.toLowerCase() + ".png", expected); -// Ptr mapper = Tonemap::create(algo_name); -// ASSERT_FALSE(mapper.empty()) << algo_name; -// Mat result; -// mapper->process(img, result); -// result.convertTo(result, CV_8UC3, 255); -// checkEqual(expected, result, 0); -// } -// } -////} -//// -////TEST(Photo_AlignMTB, regression) -////{ -//// const int TESTS_COUNT = 100; -//// string folder = string(cvtest::TS::ptr()->get_data_path()) + "shared/"; -//// -//// string file_name = folder + "lena.png"; -//// Mat img = imread(file_name); -//// ASSERT_FALSE(img.empty()) << "Could not load input image " << file_name; -//// cvtColor(img, img, COLOR_RGB2GRAY); -//// -//// int max_bits = 5; -//// int max_shift = 32; -//// srand(static_cast(time(0))); -//// int errors = 0; -//// -//// AlignMTB align(max_bits); -//// -//// for(int i = 0; i < TESTS_COUNT; i++) { -//// Point shift(rand() % max_shift, rand() % max_shift); -//// Mat res; -//// align.shiftMat(img, shift, res); -//// Point calc = align.getExpShift(img, res); -//// errors += (calc != -shift); -//// } -//// ASSERT_TRUE(errors < 5); -////} + Ptr align = createAlignMTB(max_bits); + + for(int i = 0; i < TESTS_COUNT; i++) { + Point shift(rand() % max_shift, rand() % max_shift); + Mat res; + align->shiftMat(img, res, shift); + Point calc; + align->calculateShift(img, res, calc); + errors += (calc != -shift); + } + ASSERT_TRUE(errors < 5) << errors << " errors"; +} + +TEST(Photo_MergeMertens, regression) +{ + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + + vector images; + loadExposureSeq(test_path + "exposures/", images); + + Ptr merge = createMergeMertens(); + + Mat result, expected; + loadImage(test_path + "merge/mertens.png", expected); + merge->process(images, result); + result.convertTo(result, CV_8UC3, 255); + checkEqual(expected, result, 0); +} + +TEST(Photo_MergeDebevec, regression) +{ + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + + vector images; + vector times; + Mat response; + loadExposureSeq(test_path + "exposures/", images, times); + loadResponseCSV(test_path + "exposures/response.csv", response); + + Ptr merge = createMergeDebevec(); + + Mat result, expected; + loadImage(test_path + "merge/debevec.exr", expected); + merge->process(images, result, times, response); + checkEqual(expected, result, 1e-3f); +} + +TEST(Photo_CalibrateDebevec, regression) +{ + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + + vector images; + vector times; + Mat expected, response; + loadExposureSeq(test_path + "exposures/", images, times); + loadResponseCSV(test_path + "calibrate/debevec.csv", expected); + + Ptr calibrate = createCalibrateDebevec(); + srand(1); + calibrate->process(images, response, times); + checkEqual(expected, response, 1e-3f); +} From ed0828d0a81888db089a3546a941b7c52d417612 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Thu, 1 Aug 2013 15:34:03 +0400 Subject: [PATCH 20/55] New HDR documentation --- modules/photo/doc/hdr_imaging.rst | 337 +++++++++++++++++++++--------- 1 file changed, 241 insertions(+), 96 deletions(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index a9fdb4cce..94c544629 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -3,114 +3,259 @@ HDR imaging .. highlight:: cpp -makeHDR ------------ -Creates HDR image from a set of bracketed exposures using algorithm by Debevec and Malik. +This section describes high dynamic range imaging algorithms, namely tonemapping, exposure alignment, camera calibration with multiple exposures and exposure fusion. -"Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 +Tonemap +------------- +.. ocv:class:: Tonemap : public Algorithm -.. ocv:function:: void makeHDR(InputArrayOfArrays srcImgs, const std::vector& expTimes, OutputArray dst, bool align = false) - - :param src_imgs: vector of 8-bit 3-channel images +The base class for tonemapping algorithms - tools, that are used to map HDR image to 8-bit range. + +Tonemap::process +----------------------- +Tonemaps image + +.. ocv:function:: void Tonemap::process(InputArray src, OutputArray dst) + :param src: source image - 32-bit 3-channel Mat + :param dst: destination image - 32-bit 3-channel Mat with values in [0, 1] range + +TonemapLinear +-------- +.. ocv:class:: TonemapLinear : public Tonemap + +Simple linear mapper with gamma correction. + +createTonemapLinear +------------------ +Creates TonemapLinear object + +.. ocv:function:: Ptr createTonemapLinear(float gamma = 1.0f); + + :param gamma: gamma value for gamma correction - :param exp_times: exposure times for each of source images - - :param dst: output image - - :param align: if true, images are first aligned using median threshold bitmap algorithm. See :ocv:func:`getExpShift`. - -tonemap ------------ -Tonemaps image. +TonemapDrago +-------- +.. ocv:class:: TonemapDrago : public Tonemap -.. ocv:function:: tonemap(InputArray src, OutputArray dst, int algorithm, const std::vector& params = std::vector()) - - :param src: input HDR image +"Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al. + +createTonemapDrago +------------------ +Creates TonemapDrago object + +.. ocv:function:: Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f); + + :param gamma: gamma value for gamma correction - :param dst: floating-point image in [0; 1] range - - :param algorithm: - * TONEMAP_LINEAR - simple linear mapping - - * TONEMAP_DRAGO - "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003 - - * TONEMAP_REINHARD - "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 - - * TONEMAP_DURAND - "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002 - - :param params: vector of parameters for specified algorithm. - If some parameters are missing default values are used. - The first element is gamma value for gamma correction. - - * TONEMAP_LINEAR: - - No parameters. - - * TONEMAP_DRAGO: - - params[1] - value for bias function. Range [0.7, 0.9], default 0.85. - - * TONEMAP_REINHARD: - - params[1] - result intensity. Range [-8, 8], default 0. - - params[2] - chromatic adaptation. Range [0, 1], default 0. - - params[3] - light adaptation. Range [0, 1], default 0; - - * TONEMAP_DURAND: + :param bias: value for bias function in [0, 1] range + +TonemapDurand +-------- +.. ocv:class:: TonemapDurand : public Tonemap - params[1] - result contrast on logarithmic scale. - - params[2] - bilateral filter sigma in the color space. - - params[3] - bilateral filter sigma in the coordinate space. - -exposureFusion ------------ -Fuses a bracketed exposure sequence into a single image without converting to HDR first. +"Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002 -"Exposure Fusion", Mertens et al., 2007 +This implementation uses regular bilateral filter from opencv. -.. ocv:function:: exposureFusion(InputArrayOfArrays src_imgs, OutputArray dst, bool align = false, float wc = 1, float ws = 1, float we = 0) - - :param src_imgs: vector of 8-bit 3-channel images - - :param dst: output image. Although it's a floating-point image tonemapping is not necessary. - - :param align: if true, images are first aligned using median threshold bitmap algorithm. See :ocv:func:`getExpShift`. - - :param wc: contrast factor weight - - :param ws: saturation factor weight - - :param we: well-exposedness factor weight - -getExpShift ------------ -Calculates translation vector that can be used to align img1 with img0. -Uses median threshold bitmap algorithm by Ward. +createTonemapDurand +------------------ +Creates TonemapDurand object + +.. ocv:function:: Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); + + :param gamma: gamma value for gamma correction + + :param contrast: resulting contrast on logarithmic scale + + :param sigma_space: filter sigma in the color space + + :param sigma_color: filter sigma in the coordinate space + +TonemapReinhardDevlin +-------- +.. ocv:class:: TonemapReinhardDevlin : public Tonemap + +"Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 + +createTonemapReinhardDevlin +------------------ +Creates TonemapReinhardDevlin object + +.. ocv:function:: Ptr createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f) + + :param gamma: gamma value for gamma correction + + :param intensity: result intensity. Range in [-8, 8] range + + :param light_adapt: light adaptation in [0, 1] range. If 1 adaptation is based on pixel value, if 0 it's global + + :param color_adapt: chromatic adaptation in [0, 1] range. If 1 channels are treated independently, if 0 adaptation level is the same for each channel + +ExposureAlign +------------- +.. ocv:class:: ExposureAlign : public Algorithm + +The base class for algorithms that align images of the same scene with different exposures + +ExposureAlign::process +----------------------- +Aligns images + +.. ocv:function:: void ExposureAlign::process(InputArrayOfArrays src, OutputArrayOfArrays dst, const std::vector& times, InputArray response) + + :param src: vector of input images + + :param dst: vector of aligned images + + :param times: vector of exposure time values for each image + + :param response: matrix with camera response, one column per channel + +AlignMTB +-------- +.. ocv:class:: AlignMTB : public ExposureAlign "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 -.. ocv:function:: getExpShift(InputArray img0, InputArray img1, int max_bits = 6, int exclude_range = 4) - - :param img0: 8-bit 1-channel image - - :param img1: 8-bit 1-channel image - - :param max_bits: logarithm to the base 2 of maximal shift in each dimension - - :param exclude_range: range value for exclusion bitmap. Refer to the article. - -shiftMat ------------ -Shifts image filling the new regions with zeros. +This algorithm does not use exposure values and camera response, new image regions are filled with zeros. -.. ocv:function:: shiftMat(InputArray src, Point shift, OutputArray dst) +AlignMTB::process +----------------------- +Short version of process, that doesn't take extra arguments. + +.. ocv:function:: void AlignMTB::process(InputArrayOfArrays src, OutputArrayOfArrays dst) + + :param src: vector of input images - :param src: input image + :param dst: vector of aligned images + +AlignMTB::calculateShift +----------------------- +Calculates shift between two images. + +.. ocv:function:: void AlignMTB::calculateShift(InputArray img0, InputArray img1, Point& shift) + + :param img0: first image - :param shift: shift vector + :param img1: second image + + :param shift: how to shift the second image to correspond it with the first + +AlignMTB::shiftMat +----------------------- +Gelper function, that shift Mat filling new regions with zeros. + +.. ocv:function:: void AlignMTB::shiftMat(InputArray src, OutputArray dst, const Point shift) + + :param src: input image + + :param dst: result image + + :param shift: shift value + +createAlignMTB +------------------ +Creates AlignMTB object + +.. ocv:function:: Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4) + + :param max_bits: logarithm to the base 2 of maximal shift in each dimension + + :param exclude_range: range for exclusion bitmap + +ExposureCalibrate +------------- +.. ocv:class:: ExposureCalibrate : public Algorithm + +The base class for camera response calibration algorithms. + +ExposureCalibrate::process +----------------------- +Recovers camera response. + +.. ocv:function:: void ExposureCalibrate::process(InputArrayOfArrays src, OutputArray dst, std::vector& times) + + :param src: vector of input images + + :param dst: matrix with calculated camera response, one column per channel + + :param times: vector of exposure time values for each image + +CalibrateDebevec +-------- +.. ocv:class:: CalibrateDebevec : public ExposureCalibrate + +"Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 + +createCalibrateDebevec +------------------ +Creates CalibrateDebevec object + +.. ocv:function:: Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f) + + :param samples: number of pixel locations to use + + :param lambda: smoothness term weight + +ExposureMerge +------------- +.. ocv:class:: ExposureMerge : public Algorithm + +The base class algorithms that can merge exposure sequence to a single image. + +ExposureMerge::process +----------------------- +Merges images. + +.. ocv:function:: void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray response) + + :param src: vector of input images + + :param dst: result image + + :param times: vector of exposure time values for each image + + :param response: matrix with camera response, one column per channel + +MergeDebevec +-------- +.. ocv:class:: MergeDebevec : public ExposureMerge + +"Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 + +createMergeDebevec +------------------ +Creates MergeDebevec object + +.. ocv:function:: Ptr createMergeDebevec(); + +MergeMertens +-------- +.. ocv:class:: MergeMertens : public ExposureMerge + +"Exposure Fusion", Mertens et al., 2007 + +The resulting image doesn't require tonemapping and can be converted to 8-bit image by multiplying by 255. + +MergeMertens::process +----------------------- +Short version of process, that doesn't take extra arguments. + +.. ocv:function:: void MergeMertens::process(InputArrayOfArrays src, OutputArray dst) + + :param src: vector of input images - :param dst: output image \ No newline at end of file + :param dst: result image + + +createMergeMertens +------------------ +Creates MergeMertens object + +.. ocv:function:: Ptr createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f) + + :param contrast_weight: contrast factor weight + + :param saturation_weight: saturation factor weight + + :param exposure_weight: well-exposedness factor weight \ No newline at end of file From c51b50b44cd3e5bed8cb105438531d475990d5ce Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 2 Aug 2013 00:01:15 +0400 Subject: [PATCH 21/55] Algorithm names in code --- modules/photo/doc/hdr_imaging.rst | 2 +- modules/photo/include/opencv2/photo.hpp | 14 ++++++++++++++ 2 files changed, 15 insertions(+), 1 deletion(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index 94c544629..6b2997c2d 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -37,7 +37,7 @@ TonemapDrago -------- .. ocv:class:: TonemapDrago : public Tonemap -"Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al. +"Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003 createTonemapDrago ------------------ diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index f2b664b1e..35787c002 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -97,6 +97,8 @@ class CV_EXPORTS_W TonemapLinear : public Tonemap CV_EXPORTS_W Ptr createTonemapLinear(float gamma = 1.0f); +// "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003 + class CV_EXPORTS_W TonemapDrago : public Tonemap { public: @@ -106,6 +108,8 @@ public: CV_EXPORTS_W Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f); +// "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002 + class CV_EXPORTS_W TonemapDurand : public Tonemap { public: @@ -122,6 +126,8 @@ public: CV_EXPORTS_W Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); +// "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 + class CV_EXPORTS_W TonemapReinhardDevlin : public Tonemap { public: @@ -163,6 +169,8 @@ public: CV_WRAP virtual void setExcludeRange(int exclude_range) = 0; }; +// "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 + CV_EXPORTS_W Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4); class CV_EXPORTS_W ExposureCalibrate : public Algorithm @@ -171,6 +179,8 @@ public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) = 0; }; +// "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 + class CV_EXPORTS_W CalibrateDebevec : public ExposureCalibrate { public: @@ -190,6 +200,8 @@ public: const std::vector& times, InputArray response) = 0; }; +// "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 + class CV_EXPORTS_W MergeDebevec : public ExposureMerge { public: @@ -200,6 +212,8 @@ public: CV_EXPORTS_W Ptr createMergeDebevec(); +// "Exposure Fusion", Mertens et al., 2007 + class CV_EXPORTS_W MergeMertens : public ExposureMerge { public: From 6df203c4491cca10c56550b02b8a82837cab4587 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Sat, 3 Aug 2013 01:45:20 +0400 Subject: [PATCH 22/55] Fixes for Linux compilation, small changes --- modules/photo/include/opencv2/photo.hpp | 24 +++++++++--------------- modules/photo/src/align.cpp | 5 ++--- modules/photo/src/hdr_common.cpp | 5 ++--- modules/photo/src/hdr_common.hpp | 5 ++--- modules/photo/src/merge.cpp | 5 ++--- modules/photo/src/tonemap.cpp | 13 ++++++------- modules/photo/test/test_hdr.cpp | 14 +++++++------- modules/python/src2/cv2.cpp | 9 +++++++++ 8 files changed, 39 insertions(+), 41 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index 35787c002..6c9eab137 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -59,8 +59,6 @@ enum INPAINT_TELEA = 1 // A. Telea algorithm }; -CV_EXPORTS_W bool initModule_photo(); - //! restores the damaged image areas using one of the available intpainting algorithms CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags ); @@ -91,11 +89,7 @@ public: CV_WRAP virtual void setGamma(float gamma) = 0; }; -class CV_EXPORTS_W TonemapLinear : public Tonemap -{ -}; - -CV_EXPORTS_W Ptr createTonemapLinear(float gamma = 1.0f); +CV_EXPORTS_W Ptr createTonemapLinear(float gamma = 1.0f); // "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003 @@ -154,10 +148,10 @@ public: class CV_EXPORTS_W AlignMTB : public ExposureAlign { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, - const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + const std::vector& times, InputArray response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst) = 0; CV_WRAP virtual void calculateShift(InputArray img0, InputArray img1, Point& shift) = 0; CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0; @@ -197,7 +191,7 @@ class CV_EXPORTS_W ExposureMerge : public Algorithm { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; + const std::vector& times, InputArray response) = 0; }; // "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 @@ -205,8 +199,8 @@ public: class CV_EXPORTS_W MergeDebevec : public ExposureMerge { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) = 0; }; @@ -217,8 +211,8 @@ CV_EXPORTS_W Ptr createMergeDebevec(); class CV_EXPORTS_W MergeMertens : public ExposureMerge { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; CV_WRAP virtual float getContrastWeight() const = 0; diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 804aabb6b..9f8b7ebbc 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -10,8 +10,7 @@ // License Agreement // For Open Source Computer Vision Library // -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, @@ -232,4 +231,4 @@ CV_EXPORTS_W Ptr createAlignMTB(int max_bits, int exclude_range) return new AlignMTBImpl(max_bits, exclude_range); } -} \ No newline at end of file +} diff --git a/modules/photo/src/hdr_common.cpp b/modules/photo/src/hdr_common.cpp index 202eb01c6..de8b16c11 100644 --- a/modules/photo/src/hdr_common.cpp +++ b/modules/photo/src/hdr_common.cpp @@ -10,8 +10,7 @@ // License Agreement // For Open Source Computer Vision Library // -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, @@ -71,4 +70,4 @@ Mat tringleWeights() return w; } -}; \ No newline at end of file +}; diff --git a/modules/photo/src/hdr_common.hpp b/modules/photo/src/hdr_common.hpp index 63cfe445c..9101cba8a 100644 --- a/modules/photo/src/hdr_common.hpp +++ b/modules/photo/src/hdr_common.hpp @@ -10,8 +10,7 @@ // License Agreement // For Open Source Computer Vision Library // -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, @@ -55,4 +54,4 @@ Mat tringleWeights(); }; -#endif \ No newline at end of file +#endif diff --git a/modules/photo/src/merge.cpp b/modules/photo/src/merge.cpp index 011b58347..11a591b55 100644 --- a/modules/photo/src/merge.cpp +++ b/modules/photo/src/merge.cpp @@ -10,8 +10,7 @@ // License Agreement // For Open Source Computer Vision Library // -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, @@ -260,4 +259,4 @@ Ptr createMergeMertens(float wcon, float wsat, float wexp) return new MergeMertensImpl(wcon, wsat, wexp); } -} \ No newline at end of file +} diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 62725cb05..8571b6313 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -10,8 +10,7 @@ // License Agreement // For Open Source Computer Vision Library // -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, @@ -47,7 +46,7 @@ namespace cv { -class TonemapLinearImpl : public TonemapLinear +class TonemapLinearImpl : public Tonemap { public: TonemapLinearImpl(float gamma) : gamma(gamma), name("TonemapLinear") @@ -93,7 +92,7 @@ protected: float gamma; }; -Ptr createTonemapLinear(float gamma) +Ptr createTonemapLinear(float gamma) { return new TonemapLinearImpl(gamma); } @@ -115,7 +114,7 @@ public: _dst.create(src.size(), CV_32FC3); Mat img = _dst.getMat(); - Ptr linear = createTonemapLinear(1.0f); + Ptr linear = createTonemapLinear(1.0f); linear->process(src, img); Mat gray_img; @@ -286,7 +285,7 @@ public: _dst.create(src.size(), CV_32FC3); Mat img = _dst.getMat(); - Ptr linear = createTonemapLinear(1.0f); + Ptr linear = createTonemapLinear(1.0f); linear->process(src, img); Mat gray_img; @@ -363,4 +362,4 @@ Ptr createTonemapReinhardDevlin(float gamma, float contra return new TonemapReinhardDevlinImpl(gamma, contrast, sigma_color, sigma_space); } -} \ No newline at end of file +} diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index dd44b1612..39c0a1e7f 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -10,8 +10,7 @@ // License Agreement // For Open Source Computer Vision Library // -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. +// Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, @@ -61,9 +60,10 @@ void checkEqual(Mat img0, Mat img1, double threshold) ASSERT_FALSE(max > threshold) << max; } -void loadExposureSeq(String path, vector& images, vector& times = vector()) +static vector DEFAULT_VECTOR; +void loadExposureSeq(String path, vector& images, vector& times = DEFAULT_VECTOR) { - ifstream list_file(path + "list.txt"); + ifstream list_file((path + "list.txt").c_str()); ASSERT_TRUE(list_file.is_open()); string name; float val; @@ -79,7 +79,7 @@ void loadExposureSeq(String path, vector& images, vector& times = ve void loadResponseCSV(String path, Mat& response) { response = Mat(256, 3, CV_32F); - ifstream resp_file(path); + ifstream resp_file(path.c_str()); for(int i = 0; i < 256; i++) { for(int channel = 0; channel < 3; channel++) { resp_file >> response.at(i, channel); @@ -98,7 +98,7 @@ TEST(Photo_Tonemap, regression) float gamma = 2.2f; test_path += "tonemap/"; - Ptr linear = createTonemapLinear(gamma); + Ptr linear = createTonemapLinear(gamma); linear->process(img, result); loadImage(test_path + "linear.png", expected); result.convertTo(result, CV_8UC3, 255); @@ -156,7 +156,7 @@ TEST(Photo_MergeMertens, regression) string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; vector images; - loadExposureSeq(test_path + "exposures/", images); + loadExposureSeq((test_path + "exposures/").c_str() , images); Ptr merge = createMergeMertens(); diff --git a/modules/python/src2/cv2.cpp b/modules/python/src2/cv2.cpp index e68da59cf..948e107e5 100644 --- a/modules/python/src2/cv2.cpp +++ b/modules/python/src2/cv2.cpp @@ -131,6 +131,15 @@ typedef Ptr Ptr_StereoMatcher; typedef Ptr Ptr_StereoBM; typedef Ptr Ptr_StereoSGBM; +typedef Ptr Ptr_Tonemap; +typedef Ptr Ptr_TonemapDrago; +typedef Ptr Ptr_TonemapReinhardDevlin; +typedef Ptr Ptr_TonemapDurand; +typedef Ptr Ptr_AlignMTB; +typedef Ptr Ptr_CalibrateDebevec; +typedef Ptr Ptr_MergeDebevec; +typedef Ptr Ptr_MergeMertens; + typedef Ptr Ptr_ChannelFeatureBuilder; typedef SimpleBlobDetector::Params SimpleBlobDetector_Params; From 17609b90c742b49f6e2592eeedf61eb364ed85f8 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Mon, 5 Aug 2013 19:22:42 +0400 Subject: [PATCH 23/55] Mantiuk's tonemapping --- modules/highgui/src/grfmt_hdr.cpp | 5 +- modules/photo/include/opencv2/photo.hpp | 117 +++-- modules/photo/src/align.cpp | 290 ++++++------ modules/photo/src/calibrate.cpp | 118 ++--- modules/photo/src/hdr_common.cpp | 42 +- modules/photo/src/hdr_common.hpp | 2 + modules/photo/src/merge.cpp | 322 +++++++------- modules/photo/src/tonemap.cpp | 558 +++++++++++++++--------- modules/photo/test/test_hdr.cpp | 11 +- 9 files changed, 835 insertions(+), 630 deletions(-) diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp index 13886b8f1..8e6b86e0d 100644 --- a/modules/highgui/src/grfmt_hdr.cpp +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -123,10 +123,9 @@ HdrEncoder::~HdrEncoder() bool HdrEncoder::write( const Mat& _img, const std::vector& params ) { + CV_Assert(_img.channels() == 3); Mat img; - if(_img.depth() == CV_32F) { - _img.convertTo(img, CV_32FC3); - } else { + if(_img.depth() != CV_32F) { _img.convertTo(img, CV_32FC3, 1/255.0f); } CV_Assert(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE); diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index 35787c002..4202eebeb 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -87,8 +87,8 @@ class CV_EXPORTS_W Tonemap : public Algorithm public: CV_WRAP virtual void process(InputArray src, OutputArray dst) = 0; - CV_WRAP virtual float getGamma() const = 0; - CV_WRAP virtual void setGamma(float gamma) = 0; + CV_WRAP virtual float getGamma() const = 0; + CV_WRAP virtual void setGamma(float gamma) = 0; }; class CV_EXPORTS_W TonemapLinear : public Tonemap @@ -102,71 +102,92 @@ CV_EXPORTS_W Ptr createTonemapLinear(float gamma = 1.0f); class CV_EXPORTS_W TonemapDrago : public Tonemap { public: - CV_WRAP virtual float getBias() const = 0; - CV_WRAP virtual void setBias(float bias) = 0; + + CV_WRAP virtual float getSaturation() const = 0; + CV_WRAP virtual void setSaturation(float saturation) = 0; + + CV_WRAP virtual float getBias() const = 0; + CV_WRAP virtual void setBias(float bias) = 0; }; -CV_EXPORTS_W Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f); +CV_EXPORTS_W Ptr createTonemapDrago(float gamma = 1.0f, float saturation = 1.0f, float bias = 0.85f); // "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002 class CV_EXPORTS_W TonemapDurand : public Tonemap { public: - CV_WRAP virtual float getContrast() const = 0; - CV_WRAP virtual void setContrast(float contrast) = 0; - CV_WRAP virtual float getSigmaSpace() const = 0; - CV_WRAP virtual void setSigmaSpace(float sigma_space) = 0; + CV_WRAP virtual float getSaturation() const = 0; + CV_WRAP virtual void setSaturation(float saturation) = 0; - CV_WRAP virtual float getSigmaColor() const = 0; - CV_WRAP virtual void setSigmaColor(float sigma_color) = 0; + CV_WRAP virtual float getContrast() const = 0; + CV_WRAP virtual void setContrast(float contrast) = 0; + + CV_WRAP virtual float getSigmaSpace() const = 0; + CV_WRAP virtual void setSigmaSpace(float sigma_space) = 0; + + CV_WRAP virtual float getSigmaColor() const = 0; + CV_WRAP virtual void setSigmaColor(float sigma_color) = 0; }; CV_EXPORTS_W Ptr -createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); +createTonemapDurand(float gamma = 1.0f, float saturation = 1.0f, float contrast = 4.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); // "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 class CV_EXPORTS_W TonemapReinhardDevlin : public Tonemap { public: - CV_WRAP virtual float getIntensity() const = 0; - CV_WRAP virtual void setIntensity(float intensity) = 0; + CV_WRAP virtual float getIntensity() const = 0; + CV_WRAP virtual void setIntensity(float intensity) = 0; - CV_WRAP virtual float getLightAdaptation() const = 0; - CV_WRAP virtual void setLightAdaptation(float light_adapt) = 0; + CV_WRAP virtual float getLightAdaptation() const = 0; + CV_WRAP virtual void setLightAdaptation(float light_adapt) = 0; - CV_WRAP virtual float getColorAdaptation() const = 0; - CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0; + CV_WRAP virtual float getColorAdaptation() const = 0; + CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0; }; CV_EXPORTS_W Ptr createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f); +class CV_EXPORTS_W TonemapMantiuk : public Tonemap +{ +public: + CV_WRAP virtual float getScale() const = 0; + CV_WRAP virtual void setScale(float scale) = 0; + + CV_WRAP virtual float getSaturation() const = 0; + CV_WRAP virtual void setSaturation(float saturation) = 0; +}; + +CV_EXPORTS_W Ptr +createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f); + class CV_EXPORTS_W ExposureAlign : public Algorithm { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, - const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + const std::vector& times, InputArray response) = 0; }; class CV_EXPORTS_W AlignMTB : public ExposureAlign { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, - const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + const std::vector& times, InputArray response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst) = 0; - CV_WRAP virtual void calculateShift(InputArray img0, InputArray img1, Point& shift) = 0; - CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0; + CV_WRAP virtual void calculateShift(InputArray img0, InputArray img1, Point& shift) = 0; + CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0; - CV_WRAP virtual int getMaxBits() const = 0; - CV_WRAP virtual void setMaxBits(int max_bits) = 0; + CV_WRAP virtual int getMaxBits() const = 0; + CV_WRAP virtual void setMaxBits(int max_bits) = 0; - CV_WRAP virtual int getExcludeRange() const = 0; - CV_WRAP virtual void setExcludeRange(int exclude_range) = 0; + CV_WRAP virtual int getExcludeRange() const = 0; + CV_WRAP virtual void setExcludeRange(int exclude_range) = 0; }; // "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 @@ -176,7 +197,7 @@ CV_EXPORTS_W Ptr createAlignMTB(int max_bits = 6, int exclude_range = class CV_EXPORTS_W ExposureCalibrate : public Algorithm { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) = 0; }; // "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 @@ -184,11 +205,11 @@ public: class CV_EXPORTS_W CalibrateDebevec : public ExposureCalibrate { public: - CV_WRAP virtual float getLambda() const = 0; + CV_WRAP virtual float getLambda() const = 0; CV_WRAP virtual void setLambda(float lambda) = 0; - - CV_WRAP virtual int getSamples() const = 0; - CV_WRAP virtual void setSamples(int samples) = 0; + + CV_WRAP virtual int getSamples() const = 0; + CV_WRAP virtual void setSamples(int samples) = 0; }; CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f); @@ -196,8 +217,8 @@ CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 50, floa class CV_EXPORTS_W ExposureMerge : public Algorithm { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; }; // "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 @@ -205,9 +226,9 @@ public: class CV_EXPORTS_W MergeDebevec : public ExposureMerge { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) = 0; }; CV_EXPORTS_W Ptr createMergeDebevec(); @@ -217,18 +238,18 @@ CV_EXPORTS_W Ptr createMergeDebevec(); class CV_EXPORTS_W MergeMertens : public ExposureMerge { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; - CV_WRAP virtual float getContrastWeight() const = 0; - CV_WRAP virtual void setContrastWeight(float contrast_weiht) = 0; + CV_WRAP virtual float getContrastWeight() const = 0; + CV_WRAP virtual void setContrastWeight(float contrast_weiht) = 0; - CV_WRAP virtual float getSaturationWeight() const = 0; - CV_WRAP virtual void setSaturationWeight(float saturation_weight) = 0; + CV_WRAP virtual float getSaturationWeight() const = 0; + CV_WRAP virtual void setSaturationWeight(float saturation_weight) = 0; - CV_WRAP virtual float getExposureWeight() const = 0; - CV_WRAP virtual void setExposureWeight(float exposure_weight) = 0; + CV_WRAP virtual float getExposureWeight() const = 0; + CV_WRAP virtual void setExposureWeight(float exposure_weight) = 0; }; CV_EXPORTS_W Ptr diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 804aabb6b..5c7a802e2 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -51,115 +51,115 @@ namespace cv class AlignMTBImpl : public AlignMTB { public: - AlignMTBImpl(int max_bits, int exclude_range) : - max_bits(max_bits), - exclude_range(exclude_range), - name("AlignMTB") - { - } - - void process(InputArrayOfArrays src, OutputArrayOfArrays dst, - const std::vector& times, InputArray response) - { - process(src, dst); - } + AlignMTBImpl(int max_bits, int exclude_range) : + max_bits(max_bits), + exclude_range(exclude_range), + name("AlignMTB") + { + } + + void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + const std::vector& times, InputArray response) + { + process(src, dst); + } - void process(InputArrayOfArrays _src, OutputArray _dst) - { - std::vector src, dst; - _src.getMatVector(src); - _dst.getMatVector(dst); + void process(InputArrayOfArrays _src, OutputArray _dst) + { + std::vector src, dst; + _src.getMatVector(src); + _dst.getMatVector(dst); - checkImageDimensions(src); - dst.resize(src.size()); + checkImageDimensions(src); + dst.resize(src.size()); - size_t pivot = src.size() / 2; - dst[pivot] = src[pivot]; - Mat gray_base; - cvtColor(src[pivot], gray_base, COLOR_RGB2GRAY); + size_t pivot = src.size() / 2; + dst[pivot] = src[pivot]; + Mat gray_base; + cvtColor(src[pivot], gray_base, COLOR_RGB2GRAY); - for(size_t i = 0; i < src.size(); i++) { - if(i == pivot) { - continue; - } - Mat gray; - cvtColor(src[i], gray, COLOR_RGB2GRAY); - Point shift; - calculateShift(gray_base, gray, shift); - shiftMat(src[i], dst[i], shift); - } - } + for(size_t i = 0; i < src.size(); i++) { + if(i == pivot) { + continue; + } + Mat gray; + cvtColor(src[i], gray, COLOR_RGB2GRAY); + Point shift; + calculateShift(gray_base, gray, shift); + shiftMat(src[i], dst[i], shift); + } + } - void calculateShift(InputArray _img0, InputArray _img1, Point& shift) - { - Mat img0 = _img0.getMat(); - Mat img1 = _img1.getMat(); - CV_Assert(img0.channels() == 1 && img0.type() == img1.type()); - CV_Assert(img0.size() == img0.size()); + void calculateShift(InputArray _img0, InputArray _img1, Point& shift) + { + Mat img0 = _img0.getMat(); + Mat img1 = _img1.getMat(); + CV_Assert(img0.channels() == 1 && img0.type() == img1.type()); + CV_Assert(img0.size() == img0.size()); - int maxlevel = static_cast(log((double)max(img0.rows, img0.cols)) / log(2.0)) - 1; - maxlevel = min(maxlevel, max_bits - 1); + int maxlevel = static_cast(log((double)max(img0.rows, img0.cols)) / log(2.0)) - 1; + maxlevel = min(maxlevel, max_bits - 1); - std::vector pyr0; - std::vector pyr1; - buildPyr(img0, pyr0, maxlevel); - buildPyr(img1, pyr1, maxlevel); - - shift = Point(0, 0); - for(int level = maxlevel; level >= 0; level--) { - - shift *= 2; - Mat tb1, tb2, eb1, eb2; - computeBitmaps(pyr0[level], tb1, eb1, exclude_range); - computeBitmaps(pyr1[level], tb2, eb2, exclude_range); + std::vector pyr0; + std::vector pyr1; + buildPyr(img0, pyr0, maxlevel); + buildPyr(img1, pyr1, maxlevel); + + shift = Point(0, 0); + for(int level = maxlevel; level >= 0; level--) { + + shift *= 2; + Mat tb1, tb2, eb1, eb2; + computeBitmaps(pyr0[level], tb1, eb1, exclude_range); + computeBitmaps(pyr1[level], tb2, eb2, exclude_range); - int min_err = pyr0[level].total(); - Point new_shift(shift); - for(int i = -1; i <= 1; i++) { - for(int j = -1; j <= 1; j++) { - Point test_shift = shift + Point(i, j); - Mat shifted_tb2, shifted_eb2, diff; - shiftMat(tb2, shifted_tb2, test_shift); - shiftMat(eb2, shifted_eb2, test_shift); - bitwise_xor(tb1, shifted_tb2, diff); - bitwise_and(diff, eb1, diff); - bitwise_and(diff, shifted_eb2, diff); - int err = countNonZero(diff); - if(err < min_err) { - new_shift = test_shift; - min_err = err; - } - } - } - shift = new_shift; - } - } + int min_err = pyr0[level].total(); + Point new_shift(shift); + for(int i = -1; i <= 1; i++) { + for(int j = -1; j <= 1; j++) { + Point test_shift = shift + Point(i, j); + Mat shifted_tb2, shifted_eb2, diff; + shiftMat(tb2, shifted_tb2, test_shift); + shiftMat(eb2, shifted_eb2, test_shift); + bitwise_xor(tb1, shifted_tb2, diff); + bitwise_and(diff, eb1, diff); + bitwise_and(diff, shifted_eb2, diff); + int err = countNonZero(diff); + if(err < min_err) { + new_shift = test_shift; + min_err = err; + } + } + } + shift = new_shift; + } + } - void shiftMat(InputArray _src, OutputArray _dst, const Point shift) - { - Mat src = _src.getMat(); - _dst.create(src.size(), src.type()); - Mat dst = _dst.getMat(); + void shiftMat(InputArray _src, OutputArray _dst, const Point shift) + { + Mat src = _src.getMat(); + _dst.create(src.size(), src.type()); + Mat dst = _dst.getMat(); - dst = Mat::zeros(src.size(), src.type()); - int width = src.cols - abs(shift.x); - int height = src.rows - abs(shift.y); - Rect dst_rect(max(shift.x, 0), max(shift.y, 0), width, height); - Rect src_rect(max(-shift.x, 0), max(-shift.y, 0), width, height); - src(src_rect).copyTo(dst(dst_rect)); - } + dst = Mat::zeros(src.size(), src.type()); + int width = src.cols - abs(shift.x); + int height = src.rows - abs(shift.y); + Rect dst_rect(max(shift.x, 0), max(shift.y, 0), width, height); + Rect src_rect(max(-shift.x, 0), max(-shift.y, 0), width, height); + src(src_rect).copyTo(dst(dst_rect)); + } - int getMaxBits() const { return max_bits; } - void setMaxBits(int val) { max_bits = val; } + int getMaxBits() const { return max_bits; } + void setMaxBits(int val) { max_bits = val; } - int getExcludeRange() const { return exclude_range; } - void setExcludeRange(int val) { exclude_range = val; } + int getExcludeRange() const { return exclude_range; } + void setExcludeRange(int val) { exclude_range = val; } - void write(FileStorage& fs) const + void write(FileStorage& fs) const { fs << "name" << name - << "max_bits" << max_bits - << "exclude_range" << exclude_range; + << "max_bits" << max_bits + << "exclude_range" << exclude_range; } void read(const FileNode& fn) @@ -167,69 +167,69 @@ public: FileNode n = fn["name"]; CV_Assert(n.isString() && String(n) == name); max_bits = fn["max_bits"]; - exclude_range = fn["exclude_range"]; + exclude_range = fn["exclude_range"]; } protected: - String name; - int max_bits, exclude_range; + String name; + int max_bits, exclude_range; - void downsample(Mat& src, Mat& dst) - { - dst = Mat(src.rows / 2, src.cols / 2, CV_8UC1); + void downsample(Mat& src, Mat& dst) + { + dst = Mat(src.rows / 2, src.cols / 2, CV_8UC1); - int offset = src.cols * 2; - uchar *src_ptr = src.ptr(); - uchar *dst_ptr = dst.ptr(); - for(int y = 0; y < dst.rows; y ++) { - uchar *ptr = src_ptr; - for(int x = 0; x < dst.cols; x++) { - dst_ptr[0] = ptr[0]; - dst_ptr++; - ptr += 2; - } - src_ptr += offset; - } - } + int offset = src.cols * 2; + uchar *src_ptr = src.ptr(); + uchar *dst_ptr = dst.ptr(); + for(int y = 0; y < dst.rows; y ++) { + uchar *ptr = src_ptr; + for(int x = 0; x < dst.cols; x++) { + dst_ptr[0] = ptr[0]; + dst_ptr++; + ptr += 2; + } + src_ptr += offset; + } + } - void buildPyr(Mat& img, std::vector& pyr, int maxlevel) - { - pyr.resize(maxlevel + 1); - pyr[0] = img.clone(); - for(int level = 0; level < maxlevel; level++) { - downsample(pyr[level], pyr[level + 1]); - } - } + void buildPyr(Mat& img, std::vector& pyr, int maxlevel) + { + pyr.resize(maxlevel + 1); + pyr[0] = img.clone(); + for(int level = 0; level < maxlevel; level++) { + downsample(pyr[level], pyr[level + 1]); + } + } - int getMedian(Mat& img) - { - int channels = 0; - Mat hist; - int hist_size = 256; - float range[] = {0, 256} ; - const float* ranges[] = {range}; - calcHist(&img, 1, &channels, Mat(), hist, 1, &hist_size, ranges); - float *ptr = hist.ptr(); - int median = 0, sum = 0; - int thresh = img.total() / 2; - while(sum < thresh && median < 256) { - sum += static_cast(ptr[median]); - median++; - } - return median; - } + int getMedian(Mat& img) + { + int channels = 0; + Mat hist; + int hist_size = 256; + float range[] = {0, 256} ; + const float* ranges[] = {range}; + calcHist(&img, 1, &channels, Mat(), hist, 1, &hist_size, ranges); + float *ptr = hist.ptr(); + int median = 0, sum = 0; + int thresh = img.total() / 2; + while(sum < thresh && median < 256) { + sum += static_cast(ptr[median]); + median++; + } + return median; + } - void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range) - { - int median = getMedian(img); - compare(img, median, tb, CMP_GT); - compare(abs(img - median), exclude_range, eb, CMP_GT); - } + void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range) + { + int median = getMedian(img); + compare(img, median, tb, CMP_GT); + compare(abs(img - median), exclude_range, eb, CMP_GT); + } }; CV_EXPORTS_W Ptr createAlignMTB(int max_bits, int exclude_range) { - return new AlignMTBImpl(max_bits, exclude_range); + return new AlignMTBImpl(max_bits, exclude_range); } } \ No newline at end of file diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp index 73a9c333f..8a51f537a 100644 --- a/modules/photo/src/calibrate.cpp +++ b/modules/photo/src/calibrate.cpp @@ -47,73 +47,73 @@ namespace cv { - + class CalibrateDebevecImpl : public CalibrateDebevec { public: - CalibrateDebevecImpl(int samples, float lambda) : - samples(samples), - lambda(lambda), - name("CalibrateDebevec"), - w(tringleWeights()) - { - } - - void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) - { - std::vector images; - src.getMatVector(images); - dst.create(256, images[0].channels(), CV_32F); - Mat response = dst.getMat(); + CalibrateDebevecImpl(int samples, float lambda) : + samples(samples), + lambda(lambda), + name("CalibrateDebevec"), + w(tringleWeights()) + { + } + + void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) + { + std::vector images; + src.getMatVector(images); + dst.create(256, images[0].channels(), CV_32F); + Mat response = dst.getMat(); - CV_Assert(!images.empty() && images.size() == times.size()); - CV_Assert(images[0].depth() == CV_8U); - checkImageDimensions(images); + CV_Assert(!images.empty() && images.size() == times.size()); + CV_Assert(images[0].depth() == CV_8U); + checkImageDimensions(images); - for(int channel = 0; channel < images[0].channels(); channel++) { - Mat A = Mat::zeros(samples * images.size() + 257, 256 + samples, CV_32F); - Mat B = Mat::zeros(A.rows, 1, CV_32F); + for(int channel = 0; channel < images[0].channels(); channel++) { + Mat A = Mat::zeros(samples * images.size() + 257, 256 + samples, CV_32F); + Mat B = Mat::zeros(A.rows, 1, CV_32F); - int eq = 0; - for(int i = 0; i < samples; i++) { + int eq = 0; + for(int i = 0; i < samples; i++) { - int pos = 3 * (rand() % images[0].total()) + channel; - for(size_t j = 0; j < images.size(); j++) { + int pos = 3 * (rand() % images[0].total()) + channel; + for(size_t j = 0; j < images.size(); j++) { - int val = (images[j].ptr() + pos)[0]; - A.at(eq, val) = w.at(val); - A.at(eq, 256 + i) = -w.at(val); - B.at(eq, 0) = w.at(val) * log(times[j]); - eq++; - } - } - A.at(eq, 128) = 1; - eq++; + int val = (images[j].ptr() + pos)[0]; + A.at(eq, val) = w.at(val); + A.at(eq, 256 + i) = -w.at(val); + B.at(eq, 0) = w.at(val) * log(times[j]); + eq++; + } + } + A.at(eq, 128) = 1; + eq++; - for(int i = 0; i < 254; i++) { - A.at(eq, i) = lambda * w.at(i + 1); - A.at(eq, i + 1) = -2 * lambda * w.at(i + 1); - A.at(eq, i + 2) = lambda * w.at(i + 1); - eq++; - } - Mat solution; - solve(A, B, solution, DECOMP_SVD); - solution.rowRange(0, 256).copyTo(response.col(channel)); - } - exp(response, response); - } + for(int i = 0; i < 254; i++) { + A.at(eq, i) = lambda * w.at(i + 1); + A.at(eq, i + 1) = -2 * lambda * w.at(i + 1); + A.at(eq, i + 2) = lambda * w.at(i + 1); + eq++; + } + Mat solution; + solve(A, B, solution, DECOMP_SVD); + solution.rowRange(0, 256).copyTo(response.col(channel)); + } + exp(response, response); + } - int getSamples() const { return samples; } - void setSamples(int val) { samples = val; } + int getSamples() const { return samples; } + void setSamples(int val) { samples = val; } - float getLambda() const { return lambda; } - void setLambda(float val) { lambda = val; } + float getLambda() const { return lambda; } + void setLambda(float val) { lambda = val; } - void write(FileStorage& fs) const + void write(FileStorage& fs) const { fs << "name" << name - << "samples" << samples - << "lambda" << lambda; + << "samples" << samples + << "lambda" << lambda; } void read(const FileNode& fn) @@ -121,19 +121,19 @@ public: FileNode n = fn["name"]; CV_Assert(n.isString() && String(n) == name); samples = fn["samples"]; - lambda = fn["lambda"]; + lambda = fn["lambda"]; } protected: - String name; - int samples; - float lambda; - Mat w; + String name; + int samples; + float lambda; + Mat w; }; Ptr createCalibrateDebevec(int samples, float lambda) { - return new CalibrateDebevecImpl(samples, lambda); + return new CalibrateDebevecImpl(samples, lambda); } } \ No newline at end of file diff --git a/modules/photo/src/hdr_common.cpp b/modules/photo/src/hdr_common.cpp index 202eb01c6..66278e5d4 100644 --- a/modules/photo/src/hdr_common.cpp +++ b/modules/photo/src/hdr_common.cpp @@ -49,26 +49,38 @@ namespace cv void checkImageDimensions(const std::vector& images) { - CV_Assert(!images.empty()); - int width = images[0].cols; - int height = images[0].rows; - int type = images[0].type(); + CV_Assert(!images.empty()); + int width = images[0].cols; + int height = images[0].rows; + int type = images[0].type(); - for(size_t i = 0; i < images.size(); i++) { - CV_Assert(images[i].cols == width && images[i].rows == height); - CV_Assert(images[i].type() == type); - } + for(size_t i = 0; i < images.size(); i++) { + CV_Assert(images[i].cols == width && images[i].rows == height); + CV_Assert(images[i].type() == type); + } } Mat tringleWeights() { - Mat w(256, 3, CV_32F); - for(int i = 0; i < 256; i++) { - for(int j = 0; j < 3; j++) { - w.at(i, j) = i < 128 ? i + 1.0f : 256.0f - i; - } - } - return w; + Mat w(256, 3, CV_32F); + for(int i = 0; i < 256; i++) { + for(int j = 0; j < 3; j++) { + w.at(i, j) = i < 128 ? i + 1.0f : 256.0f - i; + } + } + return w; +} + +void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation) +{ + std::vector channels(3); + split(src, channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(1.0f / lum); + pow(channels[i], saturation, channels[i]); + channels[i] = channels[i].mul(new_lum); + } + merge(channels, dst); } }; \ No newline at end of file diff --git a/modules/photo/src/hdr_common.hpp b/modules/photo/src/hdr_common.hpp index 63cfe445c..9625d201f 100644 --- a/modules/photo/src/hdr_common.hpp +++ b/modules/photo/src/hdr_common.hpp @@ -53,6 +53,8 @@ void checkImageDimensions(const std::vector& images); Mat tringleWeights(); +void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation); + }; #endif \ No newline at end of file diff --git a/modules/photo/src/merge.cpp b/modules/photo/src/merge.cpp index 011b58347..cf603ac4d 100644 --- a/modules/photo/src/merge.cpp +++ b/modules/photo/src/merge.cpp @@ -52,193 +52,193 @@ namespace cv class MergeDebevecImpl : public MergeDebevec { public: - MergeDebevecImpl() : - name("MergeDebevec"), - weights(tringleWeights()) - { - } - - void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray input_response) - { - std::vector images; - src.getMatVector(images); - dst.create(images[0].size(), CV_MAKETYPE(CV_32F, images[0].channels())); - Mat result = dst.getMat(); + MergeDebevecImpl() : + name("MergeDebevec"), + weights(tringleWeights()) + { + } + + void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray input_response) + { + std::vector images; + src.getMatVector(images); + dst.create(images[0].size(), CV_MAKETYPE(CV_32F, images[0].channels())); + Mat result = dst.getMat(); - CV_Assert(images.size() == times.size()); - CV_Assert(images[0].depth() == CV_8U); - checkImageDimensions(images); + CV_Assert(images.size() == times.size()); + CV_Assert(images[0].depth() == CV_8U); + checkImageDimensions(images); - Mat response = input_response.getMat(); - CV_Assert(response.rows == 256 && response.cols >= images[0].channels()); - Mat log_response; - log(response, log_response); - - std::vector exp_times(times.size()); - for(size_t i = 0; i < exp_times.size(); i++) { - exp_times[i] = logf(times[i]); - } - - int channels = images[0].channels(); - float *res_ptr = result.ptr(); - for(size_t pos = 0; pos < result.total(); pos++, res_ptr += channels) { + Mat response = input_response.getMat(); + CV_Assert(response.rows == 256 && response.cols >= images[0].channels()); + Mat log_response; + log(response, log_response); + + std::vector exp_times(times.size()); + for(size_t i = 0; i < exp_times.size(); i++) { + exp_times[i] = logf(times[i]); + } + + int channels = images[0].channels(); + float *res_ptr = result.ptr(); + for(size_t pos = 0; pos < result.total(); pos++, res_ptr += channels) { - std::vector sum(channels, 0); - float weight_sum = 0; - for(size_t im = 0; im < images.size(); im++) { + std::vector sum(channels, 0); + float weight_sum = 0; + for(size_t im = 0; im < images.size(); im++) { - uchar *img_ptr = images[im].ptr() + channels * pos; - float w = 0; - for(int channel = 0; channel < channels; channel++) { - w += weights.at(img_ptr[channel]); - } - w /= channels; - weight_sum += w; - for(int channel = 0; channel < channels; channel++) { - sum[channel] += w * (log_response.at(img_ptr[channel], channel) - exp_times[im]); - } - } - for(int channel = 0; channel < channels; channel++) { - res_ptr[channel] = exp(sum[channel] / weight_sum); - } - } - } + uchar *img_ptr = images[im].ptr() + channels * pos; + float w = 0; + for(int channel = 0; channel < channels; channel++) { + w += weights.at(img_ptr[channel]); + } + w /= channels; + weight_sum += w; + for(int channel = 0; channel < channels; channel++) { + sum[channel] += w * (log_response.at(img_ptr[channel], channel) - exp_times[im]); + } + } + for(int channel = 0; channel < channels; channel++) { + res_ptr[channel] = exp(sum[channel] / weight_sum); + } + } + } - void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) - { - Mat response(256, 3, CV_32F); - for(int i = 0; i < 256; i++) { - for(int j = 0; j < 3; j++) { - response.at(i, j) = max(i, 1); - } - } - process(src, dst, times, response); - } + void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) + { + Mat response(256, 3, CV_32F); + for(int i = 0; i < 256; i++) { + for(int j = 0; j < 3; j++) { + response.at(i, j) = static_cast(max(i, 1)); + } + } + process(src, dst, times, response); + } protected: - String name; - Mat weights; + String name; + Mat weights; }; Ptr createMergeDebevec() { - return new MergeDebevecImpl; + return new MergeDebevecImpl; } class MergeMertensImpl : public MergeMertens { public: - MergeMertensImpl(float wcon, float wsat, float wexp) : - wcon(wcon), - wsat(wsat), - wexp(wexp), - name("MergeMertens") - { - } - - void process(InputArrayOfArrays src, OutputArrayOfArrays dst, const std::vector& times, InputArray response) - { - process(src, dst); - } + MergeMertensImpl(float wcon, float wsat, float wexp) : + wcon(wcon), + wsat(wsat), + wexp(wexp), + name("MergeMertens") + { + } + + void process(InputArrayOfArrays src, OutputArrayOfArrays dst, const std::vector& times, InputArray response) + { + process(src, dst); + } - void process(InputArrayOfArrays src, OutputArray dst) - { - std::vector images; - src.getMatVector(images); - checkImageDimensions(images); + void process(InputArrayOfArrays src, OutputArray dst) + { + std::vector images; + src.getMatVector(images); + checkImageDimensions(images); - std::vector weights(images.size()); - Mat weight_sum = Mat::zeros(images[0].size(), CV_32FC1); - for(size_t im = 0; im < images.size(); im++) { - Mat img, gray, contrast, saturation, wellexp; - std::vector channels(3); + std::vector weights(images.size()); + Mat weight_sum = Mat::zeros(images[0].size(), CV_32FC1); + for(size_t im = 0; im < images.size(); im++) { + Mat img, gray, contrast, saturation, wellexp; + std::vector channels(3); - images[im].convertTo(img, CV_32FC3, 1.0/255.0); - cvtColor(img, gray, COLOR_RGB2GRAY); - split(img, channels); + images[im].convertTo(img, CV_32FC3, 1.0/255.0); + cvtColor(img, gray, COLOR_RGB2GRAY); + split(img, channels); - Laplacian(gray, contrast, CV_32F); - contrast = abs(contrast); + Laplacian(gray, contrast, CV_32F); + contrast = abs(contrast); - Mat mean = (channels[0] + channels[1] + channels[2]) / 3.0f; - saturation = Mat::zeros(channels[0].size(), CV_32FC1); - for(int i = 0; i < 3; i++) { - Mat deviation = channels[i] - mean; - pow(deviation, 2.0, deviation); - saturation += deviation; - } - sqrt(saturation, saturation); + Mat mean = (channels[0] + channels[1] + channels[2]) / 3.0f; + saturation = Mat::zeros(channels[0].size(), CV_32FC1); + for(int i = 0; i < 3; i++) { + Mat deviation = channels[i] - mean; + pow(deviation, 2.0, deviation); + saturation += deviation; + } + sqrt(saturation, saturation); - wellexp = Mat::ones(gray.size(), CV_32FC1); - for(int i = 0; i < 3; i++) { - Mat exp = channels[i] - 0.5f; - pow(exp, 2, exp); - exp = -exp / 0.08; - wellexp = wellexp.mul(exp); - } + wellexp = Mat::ones(gray.size(), CV_32FC1); + for(int i = 0; i < 3; i++) { + Mat exp = channels[i] - 0.5f; + pow(exp, 2, exp); + exp = -exp / 0.08; + wellexp = wellexp.mul(exp); + } - pow(contrast, wcon, contrast); - pow(saturation, wsat, saturation); - pow(wellexp, wexp, wellexp); + pow(contrast, wcon, contrast); + pow(saturation, wsat, saturation); + pow(wellexp, wexp, wellexp); - weights[im] = contrast; - weights[im] = weights[im].mul(saturation); - weights[im] = weights[im].mul(wellexp); - weight_sum += weights[im]; - } - int maxlevel = static_cast(logf(static_cast(max(images[0].rows, images[0].cols))) / logf(2.0)) - 1; - std::vector res_pyr(maxlevel + 1); + weights[im] = contrast; + weights[im] = weights[im].mul(saturation); + weights[im] = weights[im].mul(wellexp); + weight_sum += weights[im]; + } + int maxlevel = static_cast(logf(static_cast(max(images[0].rows, images[0].cols))) / logf(2.0)) - 1; + std::vector res_pyr(maxlevel + 1); - for(size_t im = 0; im < images.size(); im++) { - weights[im] /= weight_sum; - Mat img; - images[im].convertTo(img, CV_32FC3, 1/255.0); - std::vector img_pyr, weight_pyr; - buildPyramid(img, img_pyr, maxlevel); - buildPyramid(weights[im], weight_pyr, maxlevel); - for(int lvl = 0; lvl < maxlevel; lvl++) { - Mat up; - pyrUp(img_pyr[lvl + 1], up, img_pyr[lvl].size()); - img_pyr[lvl] -= up; - } - for(int lvl = 0; lvl <= maxlevel; lvl++) { - std::vector channels(3); - split(img_pyr[lvl], channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(weight_pyr[lvl]); - } - merge(channels, img_pyr[lvl]); - if(res_pyr[lvl].empty()) { - res_pyr[lvl] = img_pyr[lvl]; - } else { - res_pyr[lvl] += img_pyr[lvl]; - } - } - } - for(int lvl = maxlevel; lvl > 0; lvl--) { - Mat up; - pyrUp(res_pyr[lvl], up, res_pyr[lvl - 1].size()); - res_pyr[lvl - 1] += up; - } - dst.create(images[0].size(), CV_32FC3); - res_pyr[0].copyTo(dst.getMat()); - } + for(size_t im = 0; im < images.size(); im++) { + weights[im] /= weight_sum; + Mat img; + images[im].convertTo(img, CV_32FC3, 1/255.0); + std::vector img_pyr, weight_pyr; + buildPyramid(img, img_pyr, maxlevel); + buildPyramid(weights[im], weight_pyr, maxlevel); + for(int lvl = 0; lvl < maxlevel; lvl++) { + Mat up; + pyrUp(img_pyr[lvl + 1], up, img_pyr[lvl].size()); + img_pyr[lvl] -= up; + } + for(int lvl = 0; lvl <= maxlevel; lvl++) { + std::vector channels(3); + split(img_pyr[lvl], channels); + for(int i = 0; i < 3; i++) { + channels[i] = channels[i].mul(weight_pyr[lvl]); + } + merge(channels, img_pyr[lvl]); + if(res_pyr[lvl].empty()) { + res_pyr[lvl] = img_pyr[lvl]; + } else { + res_pyr[lvl] += img_pyr[lvl]; + } + } + } + for(int lvl = maxlevel; lvl > 0; lvl--) { + Mat up; + pyrUp(res_pyr[lvl], up, res_pyr[lvl - 1].size()); + res_pyr[lvl - 1] += up; + } + dst.create(images[0].size(), CV_32FC3); + res_pyr[0].copyTo(dst.getMat()); + } - float getContrastWeight() const { return wcon; } - void setContrastWeight(float val) { wcon = val; } + float getContrastWeight() const { return wcon; } + void setContrastWeight(float val) { wcon = val; } - float getSaturationWeight() const { return wsat; } - void setSaturationWeight(float val) { wsat = val; } + float getSaturationWeight() const { return wsat; } + void setSaturationWeight(float val) { wsat = val; } - float getExposureWeight() const { return wexp; } - void setExposureWeight(float val) { wexp = val; } + float getExposureWeight() const { return wexp; } + void setExposureWeight(float val) { wexp = val; } - void write(FileStorage& fs) const + void write(FileStorage& fs) const { fs << "name" << name - << "contrast_weight" << wcon - << "saturation_weight" << wsat - << "exposure_weight" << wexp; + << "contrast_weight" << wcon + << "saturation_weight" << wsat + << "exposure_weight" << wexp; } void read(const FileNode& fn) @@ -246,18 +246,18 @@ public: FileNode n = fn["name"]; CV_Assert(n.isString() && String(n) == name); wcon = fn["contrast_weight"]; - wsat = fn["saturation_weight"]; - wexp = fn["exposure_weight"]; + wsat = fn["saturation_weight"]; + wexp = fn["exposure_weight"]; } protected: - String name; - float wcon, wsat, wexp; + String name; + float wcon, wsat, wexp; }; Ptr createMergeMertens(float wcon, float wsat, float wexp) { - return new MergeMertensImpl(wcon, wsat, wexp); + return new MergeMertensImpl(wcon, wsat, wexp); } } \ No newline at end of file diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 62725cb05..0c85b5f9b 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -43,6 +43,7 @@ #include "precomp.hpp" #include "opencv2/photo.hpp" #include "opencv2/imgproc.hpp" +#include "hdr_common.hpp" namespace cv { @@ -50,32 +51,32 @@ namespace cv class TonemapLinearImpl : public TonemapLinear { public: - TonemapLinearImpl(float gamma) : gamma(gamma), name("TonemapLinear") - { - } + TonemapLinearImpl(float gamma) : gamma(gamma), name("TonemapLinear") + { + } - void process(InputArray _src, OutputArray _dst) - { - Mat src = _src.getMat(); - CV_Assert(!src.empty()); - _dst.create(src.size(), CV_32FC3); - Mat dst = _dst.getMat(); - - double min, max; - minMaxLoc(src, &min, &max); - if(max - min > DBL_EPSILON) { - dst = (src - min) / (max - min); - } else { - src.copyTo(dst); - } + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat dst = _dst.getMat(); + + double min, max; + minMaxLoc(src, &min, &max); + if(max - min > DBL_EPSILON) { + dst = (src - min) / (max - min); + } else { + src.copyTo(dst); + } - pow(dst, 1.0f / gamma, dst); - } + pow(dst, 1.0f / gamma, dst); + } - float getGamma() const { return gamma; } - void setGamma(float val) { gamma = val; } + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } - void write(FileStorage& fs) const + void write(FileStorage& fs) const { fs << "name" << name << "gamma" << gamma; @@ -89,79 +90,76 @@ public: } protected: - String name; - float gamma; + String name; + float gamma; }; Ptr createTonemapLinear(float gamma) { - return new TonemapLinearImpl(gamma); + return new TonemapLinearImpl(gamma); } class TonemapDragoImpl : public TonemapDrago { public: - TonemapDragoImpl(float gamma, float bias) : - gamma(gamma), + TonemapDragoImpl(float gamma, float saturation, float bias) : + gamma(gamma), + saturation(saturation), bias(bias), - name("TonemapLinear") - { - } + name("TonemapDrago") + { + } - void process(InputArray _src, OutputArray _dst) - { - Mat src = _src.getMat(); - CV_Assert(!src.empty()); - _dst.create(src.size(), CV_32FC3); - Mat img = _dst.getMat(); - - Ptr linear = createTonemapLinear(1.0f); - linear->process(src, img); + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat img = _dst.getMat(); + + Ptr linear = createTonemapLinear(1.0f); + linear->process(src, img); - Mat gray_img; - cvtColor(img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); - float mean = expf(static_cast(sum(log_img)[0]) / log_img.total()); - gray_img /= mean; - log_img.release(); + Mat gray_img; + cvtColor(img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + float mean = expf(static_cast(sum(log_img)[0]) / log_img.total()); + gray_img /= mean; + log_img.release(); - double max; - minMaxLoc(gray_img, NULL, &max); + double max; + minMaxLoc(gray_img, NULL, &max); - Mat map; - log(gray_img + 1.0f, map); - Mat div; - pow(gray_img / static_cast(max), logf(bias) / logf(0.5f), div); - log(2.0f + 8.0f * div, div); - map = map.mul(1.0f / div); - map = map.mul(1.0f / gray_img); - div.release(); - gray_img.release(); + Mat map; + log(gray_img + 1.0f, map); + Mat div; + pow(gray_img / static_cast(max), logf(bias) / logf(0.5f), div); + log(2.0f + 8.0f * div, div); + map = map.mul(1.0f / div); + div.release(); - std::vector channels(3); - split(img, channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(map); - } - map.release(); - merge(channels, img); - - linear->setGamma(gamma); - linear->process(img, img); - } + mapLuminance(img, img, gray_img, map, saturation); + + linear->setGamma(gamma); + linear->process(img, img); + } - float getGamma() const { return gamma; } - void setGamma(float val) { gamma = val; } + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } - float getBias() const { return bias; } - void setBias(float val) { bias = val; } + float getSaturation() const { return saturation; } + void setSaturation(float val) { saturation = val; } - void write(FileStorage& fs) const + float getBias() const { return bias; } + void setBias(float val) { bias = val; } + + void write(FileStorage& fs) const { fs << "name" << name << "gamma" << gamma - << "bias" << bias; + << "bias" << bias + << "saturation" << saturation; } void read(const FileNode& fn) @@ -169,82 +167,82 @@ public: FileNode n = fn["name"]; CV_Assert(n.isString() && String(n) == name); gamma = fn["gamma"]; - bias = fn["bias"]; + bias = fn["bias"]; + saturation = fn["saturation"]; } protected: - String name; - float gamma, bias; + String name; + float gamma, saturation, bias; }; -Ptr createTonemapDrago(float gamma, float bias) +Ptr createTonemapDrago(float gamma, float saturation, float bias) { - return new TonemapDragoImpl(gamma, bias); + return new TonemapDragoImpl(gamma, saturation, bias); } class TonemapDurandImpl : public TonemapDurand { public: - TonemapDurandImpl(float gamma, float contrast, float sigma_color, float sigma_space) : - gamma(gamma), + TonemapDurandImpl(float gamma, float saturation, float contrast, float sigma_color, float sigma_space) : + gamma(gamma), + saturation(saturation), contrast(contrast), - sigma_color(sigma_color), - sigma_space(sigma_space), - name("TonemapDurand") - { - } + sigma_color(sigma_color), + sigma_space(sigma_space), + name("TonemapDurand") + { + } - void process(InputArray _src, OutputArray _dst) - { - Mat src = _src.getMat(); - CV_Assert(!src.empty()); - _dst.create(src.size(), CV_32FC3); - Mat dst = _dst.getMat(); - - Mat gray_img; - cvtColor(src, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); - Mat map_img; - bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space); + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat img = _dst.getMat(); + Ptr linear = createTonemapLinear(1.0f); + linear->process(src, img); + + Mat gray_img; + cvtColor(img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + Mat map_img; + bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space); - double min, max; - minMaxLoc(map_img, &min, &max); - float scale = contrast / static_cast(max - min); + double min, max; + minMaxLoc(map_img, &min, &max); + float scale = contrast / static_cast(max - min); + exp(map_img * (scale - 1.0f) + log_img, map_img); + log_img.release(); - exp(map_img * (scale - 1.0f) + log_img, map_img); - log_img.release(); - map_img = map_img.mul(1.0f / gray_img); - gray_img.release(); + mapLuminance(img, img, gray_img, map_img, saturation); + pow(img, 1.0f / gamma, img); + } - std::vector channels(3); - split(src, channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(map_img); - } - merge(channels, dst); - pow(dst, 1.0f / gamma, dst); - } + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } - float getGamma() const { return gamma; } - void setGamma(float val) { gamma = val; } + float getSaturation() const { return saturation; } + void setSaturation(float val) { saturation = val; } - float getContrast() const { return contrast; } - void setContrast(float val) { contrast = val; } + float getContrast() const { return contrast; } + void setContrast(float val) { contrast = val; } - float getSigmaColor() const { return sigma_color; } - void setSigmaColor(float val) { sigma_color = val; } + float getSigmaColor() const { return sigma_color; } + void setSigmaColor(float val) { sigma_color = val; } - float getSigmaSpace() const { return sigma_space; } - void setSigmaSpace(float val) { sigma_space = val; } + float getSigmaSpace() const { return sigma_space; } + void setSigmaSpace(float val) { sigma_space = val; } - void write(FileStorage& fs) const + void write(FileStorage& fs) const { fs << "name" << name << "gamma" << gamma - << "contrast" << contrast - << "sigma_color" << sigma_color - << "sigma_space" << sigma_space; + << "contrast" << contrast + << "sigma_color" << sigma_color + << "sigma_space" << sigma_space + << "saturation" << saturation; } void read(const FileNode& fn) @@ -252,95 +250,95 @@ public: FileNode n = fn["name"]; CV_Assert(n.isString() && String(n) == name); gamma = fn["gamma"]; - contrast = fn["contrast"]; - sigma_color = fn["sigma_color"]; - sigma_space = fn["sigma_space"]; + contrast = fn["contrast"]; + sigma_color = fn["sigma_color"]; + sigma_space = fn["sigma_space"]; + saturation = fn["saturation"]; } protected: - String name; - float gamma, contrast, sigma_color, sigma_space; + String name; + float gamma, saturation, contrast, sigma_color, sigma_space; }; -Ptr createTonemapDurand(float gamma, float contrast, float sigma_color, float sigma_space) +Ptr createTonemapDurand(float gamma, float saturation, float contrast, float sigma_color, float sigma_space) { - return new TonemapDurandImpl(gamma, contrast, sigma_color, sigma_space); + return new TonemapDurandImpl(gamma, saturation, contrast, sigma_color, sigma_space); } class TonemapReinhardDevlinImpl : public TonemapReinhardDevlin { public: - TonemapReinhardDevlinImpl(float gamma, float intensity, float light_adapt, float color_adapt) : - gamma(gamma), + TonemapReinhardDevlinImpl(float gamma, float intensity, float light_adapt, float color_adapt) : + gamma(gamma), intensity(intensity), - light_adapt(light_adapt), - color_adapt(color_adapt), - name("TonemapReinhardDevlin") - { - } + light_adapt(light_adapt), + color_adapt(color_adapt), + name("TonemapReinhardDevlin") + { + } - void process(InputArray _src, OutputArray _dst) - { - Mat src = _src.getMat(); - CV_Assert(!src.empty()); - _dst.create(src.size(), CV_32FC3); - Mat img = _dst.getMat(); - - Ptr linear = createTonemapLinear(1.0f); - linear->process(src, img); - - Mat gray_img; - cvtColor(img, gray_img, COLOR_RGB2GRAY); - Mat log_img; - log(gray_img, log_img); + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat img = _dst.getMat(); + Ptr linear = createTonemapLinear(1.0f); + linear->process(src, img); + + Mat gray_img; + cvtColor(img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); - float log_mean = static_cast(sum(log_img)[0] / log_img.total()); - double log_min, log_max; - minMaxLoc(log_img, &log_min, &log_max); - log_img.release(); + float log_mean = static_cast(sum(log_img)[0] / log_img.total()); + double log_min, log_max; + minMaxLoc(log_img, &log_min, &log_max); + log_img.release(); - double key = static_cast((log_max - log_mean) / (log_max - log_min)); - float map_key = 0.3f + 0.7f * pow(static_cast(key), 1.4f); - intensity = exp(-intensity); - Scalar chan_mean = mean(img); - float gray_mean = static_cast(mean(gray_img)[0]); + double key = static_cast((log_max - log_mean) / (log_max - log_min)); + float map_key = 0.3f + 0.7f * pow(static_cast(key), 1.4f); + intensity = exp(-intensity); + Scalar chan_mean = mean(img); + float gray_mean = static_cast(mean(gray_img)[0]); - std::vector channels(3); - split(img, channels); + std::vector channels(3); + split(img, channels); - for(int i = 0; i < 3; i++) { - float global = color_adapt * static_cast(chan_mean[i]) + (1.0f - color_adapt) * gray_mean; - Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; - adapt = light_adapt * adapt + (1.0f - light_adapt) * global; - pow(intensity * adapt, map_key, adapt); - channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); - } - gray_img.release(); - merge(channels, img); - - linear->setGamma(gamma); - linear->process(img, img); - } + for(int i = 0; i < 3; i++) { + float global = color_adapt * static_cast(chan_mean[i]) + (1.0f - color_adapt) * gray_mean; + Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; + adapt = light_adapt * adapt + (1.0f - light_adapt) * global; + pow(intensity * adapt, map_key, adapt); + channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); + } + gray_img.release(); + merge(channels, img); + + linear->setGamma(gamma); + linear->process(img, img); + } - float getGamma() const { return gamma; } - void setGamma(float val) { gamma = val; } + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } - float getIntensity() const { return intensity; } - void setIntensity(float val) { intensity = val; } + float getIntensity() const { return intensity; } + void setIntensity(float val) { intensity = val; } - float getLightAdaptation() const { return light_adapt; } - void setLightAdaptation(float val) { light_adapt = val; } + float getLightAdaptation() const { return light_adapt; } + void setLightAdaptation(float val) { light_adapt = val; } - float getColorAdaptation() const { return color_adapt; } - void setColorAdaptation(float val) { color_adapt = val; } + float getColorAdaptation() const { return color_adapt; } + void setColorAdaptation(float val) { color_adapt = val; } - void write(FileStorage& fs) const + void write(FileStorage& fs) const { fs << "name" << name << "gamma" << gamma - << "intensity" << intensity - << "light_adapt" << light_adapt - << "color_adapt" << color_adapt; + << "intensity" << intensity + << "light_adapt" << light_adapt + << "color_adapt" << color_adapt; } void read(const FileNode& fn) @@ -348,19 +346,187 @@ public: FileNode n = fn["name"]; CV_Assert(n.isString() && String(n) == name); gamma = fn["gamma"]; - intensity = fn["intensity"]; - light_adapt = fn["light_adapt"]; - color_adapt = fn["color_adapt"]; + intensity = fn["intensity"]; + light_adapt = fn["light_adapt"]; + color_adapt = fn["color_adapt"]; } protected: - String name; - float gamma, intensity, light_adapt, color_adapt; + String name; + float gamma, intensity, light_adapt, color_adapt; }; Ptr createTonemapReinhardDevlin(float gamma, float contrast, float sigma_color, float sigma_space) { - return new TonemapReinhardDevlinImpl(gamma, contrast, sigma_color, sigma_space); + return new TonemapReinhardDevlinImpl(gamma, contrast, sigma_color, sigma_space); +} + +class TonemapMantiukImpl : public TonemapMantiuk +{ +public: + TonemapMantiukImpl(float gamma, float scale, float saturation) : + gamma(gamma), + scale(scale), + saturation(saturation), + name("TonemapMantiuk") + { + } + + void process(InputArray _src, OutputArray _dst) + { + Mat src = _src.getMat(); + CV_Assert(!src.empty()); + _dst.create(src.size(), CV_32FC3); + Mat img = _dst.getMat(); + Ptr linear = createTonemapLinear(1.0f); + linear->process(src, img); + + Mat gray_img; + cvtColor(img, gray_img, COLOR_RGB2GRAY); + Mat log_img; + log(gray_img, log_img); + + std::vector x_contrast, y_contrast; + getContrast(log_img, x_contrast, y_contrast); + + for(size_t i = 0; i < x_contrast.size(); i++) { + mapContrast(x_contrast[i], scale); + mapContrast(y_contrast[i], scale); + } + + Mat right(src.size(), CV_32F); + calculateSum(x_contrast, y_contrast, right); + + Mat p, r, product, x = log_img; + calculateProduct(x, r); + r = right - r; + r.copyTo(p); + + const float target_error = 1e-3f; + float target_norm = static_cast(right.dot(right)) * powf(target_error, 2.0f); + int max_iterations = 100; + float rr = static_cast(r.dot(r)); + + for(int i = 0; i < max_iterations; i++) + { + calculateProduct(p, product); + float alpha = rr / static_cast(p.dot(product)); + + r -= alpha * product; + x += alpha * p; + + float new_rr = static_cast(r.dot(r)); + p = r + (new_rr / rr) * p; + rr = new_rr; + + if(rr < target_norm) { + break; + } + } + exp(x, x); + mapLuminance(img, img, gray_img, x, saturation); + + linear = createTonemapLinear(gamma); + linear->process(img, img); + } + + float getGamma() const { return gamma; } + void setGamma(float val) { gamma = val; } + + float getScale() const { return scale; } + void setScale(float val) { scale = val; } + + float getSaturation() const { return saturation; } + void setSaturation(float val) { saturation = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "gamma" << gamma + << "scale" << scale + << "saturation" << saturation; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + gamma = fn["gamma"]; + scale = fn["scale"]; + saturation = fn["saturation"]; + } + +protected: + String name; + float gamma, scale, saturation; + + void signedPow(Mat src, float power, Mat& dst) + { + Mat sign = (src > 0); + sign.convertTo(sign, CV_32F, 1/255.0f); + sign = sign * 2 - 1; + pow(abs(src), power, dst); + dst = dst.mul(sign); + } + + void mapContrast(Mat& contrast, float scale) + { + const float response_power = 0.4185f; + signedPow(contrast, response_power, contrast); + contrast *= scale; + signedPow(contrast, 1.0f / response_power, contrast); + } + + void getGradient(Mat src, Mat& dst, int pos) + { + dst = Mat::zeros(src.size(), CV_32F); + Mat a, b; + Mat grad = src.colRange(1, src.cols) - src.colRange(0, src.cols - 1); + grad.copyTo(dst.colRange(pos, src.cols + pos - 1)); + if(pos == 1) { + src.col(0).copyTo(dst.col(0)); + } + } + + void getContrast(Mat src, std::vector& x_contrast, std::vector& y_contrast) + { + int levels = static_cast(logf(static_cast(min(src.rows, src.cols))) / logf(2.0f)); + x_contrast.resize(levels); + y_contrast.resize(levels); + + Mat layer; + src.copyTo(layer); + for(int i = 0; i < levels; i++) { + getGradient(layer, x_contrast[i], 0); + getGradient(layer.t(), y_contrast[i], 0); + resize(layer, layer, Size(layer.cols / 2, layer.rows / 2)); + } + } + + void calculateSum(std::vector& x_contrast, std::vector& y_contrast, Mat& sum) + { + sum = Mat::zeros(x_contrast[x_contrast.size() - 1].size(), CV_32F); + for(int i = x_contrast.size() - 1; i >= 0; i--) + { + Mat grad_x, grad_y; + getGradient(x_contrast[i], grad_x, 1); + getGradient(y_contrast[i], grad_y, 1); + resize(sum, sum, x_contrast[i].size()); + sum += grad_x + grad_y.t(); + } + } + + void calculateProduct(Mat src, Mat& dst) + { + std::vector x_contrast, y_contrast; + getContrast(src, x_contrast, y_contrast); + calculateSum(x_contrast, y_contrast, dst); + } +}; + +Ptr createTonemapMantiuk(float gamma, float scale, float saturation) +{ + return new TonemapMantiukImpl(gamma, scale, saturation); } } \ No newline at end of file diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index dd44b1612..92738c26b 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -91,12 +91,11 @@ void loadResponseCSV(String path, Mat& response) TEST(Photo_Tonemap, regression) { - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/tonemap/"; Mat img, expected, result; - loadImage(test_path + "rle.hdr", img); + loadImage(test_path + "image.hdr", img); float gamma = 2.2f; - test_path += "tonemap/"; Ptr linear = createTonemapLinear(gamma); linear->process(img, result); @@ -121,6 +120,12 @@ TEST(Photo_Tonemap, regression) loadImage(test_path + "reinharddevlin.png", expected); result.convertTo(result, CV_8UC3, 255); checkEqual(result, expected, 0); + + Ptr mantiuk = createTonemapMantiuk(gamma); + mantiuk->process(img, result); + loadImage(test_path + "mantiuk.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 0); } TEST(Photo_AlignMTB, regression) From 4c0f7f9e5948ad67c0d0ed3d57542d2e7a6d3ff3 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Mon, 5 Aug 2013 20:35:48 +0400 Subject: [PATCH 24/55] Tonemapping documentation update --- modules/photo/doc/hdr_imaging.rst | 40 +++++++++++++++++-------- modules/photo/include/opencv2/photo.hpp | 8 +++-- modules/photo/src/tonemap.cpp | 8 ++--- modules/photo/test/test_hdr.cpp | 2 +- 4 files changed, 38 insertions(+), 20 deletions(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index 6b2997c2d..1e150ee25 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -19,17 +19,11 @@ Tonemaps image :param src: source image - 32-bit 3-channel Mat :param dst: destination image - 32-bit 3-channel Mat with values in [0, 1] range -TonemapLinear --------- -.. ocv:class:: TonemapLinear : public Tonemap - -Simple linear mapper with gamma correction. - -createTonemapLinear +createTonemap ------------------ -Creates TonemapLinear object +Creates simple linear mapper with gamma correction -.. ocv:function:: Ptr createTonemapLinear(float gamma = 1.0f); +.. ocv:function:: Ptr createTonemap(float gamma = 1.0f); :param gamma: gamma value for gamma correction @@ -47,6 +41,8 @@ Creates TonemapDrago object :param gamma: gamma value for gamma correction + :param saturation: saturation enhancement value + :param bias: value for bias function in [0, 1] range TonemapDurand @@ -61,15 +57,17 @@ createTonemapDurand ------------------ Creates TonemapDurand object -.. ocv:function:: Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); +.. ocv:function:: Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); :param gamma: gamma value for gamma correction :param contrast: resulting contrast on logarithmic scale - :param sigma_space: filter sigma in the color space + :param saturation: saturation enhancement value - :param sigma_color: filter sigma in the coordinate space + :param sigma_space: filter sigma in color space + + :param sigma_color: filter sigma in coordinate space TonemapReinhardDevlin -------- @@ -91,6 +89,24 @@ Creates TonemapReinhardDevlin object :param color_adapt: chromatic adaptation in [0, 1] range. If 1 channels are treated independently, if 0 adaptation level is the same for each channel +TonemapMantiuk +-------- +.. ocv:class:: TonemapMantiuk : public Tonemap + +"Perceptual Framework for Contrast Processing of High Dynamic Range Images", Mantiuk et al., 2006 + +createTonemapMantiuk +------------------ +Creates TonemapMantiuk object + +.. ocv:function:: CV_EXPORTS_W Ptr createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f); + + :param gamma: gamma value for gamma correction + + :param scale: contrast scale factor + + :param saturation: saturation enhancement value + ExposureAlign ------------- .. ocv:class:: ExposureAlign : public Algorithm diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index 258c9881b..8c709b379 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -126,7 +126,7 @@ public: }; CV_EXPORTS_W Ptr -createTonemapDurand(float gamma = 1.0f, float saturation = 1.0f, float contrast = 4.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); +createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); // "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 @@ -146,6 +146,8 @@ public: CV_EXPORTS_W Ptr createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f); +// "Perceptual Framework for Contrast Processing of High Dynamic Range Images", Mantiuk et al., 2006 + class CV_EXPORTS_W TonemapMantiuk : public Tonemap { public: @@ -166,6 +168,8 @@ public: const std::vector& times, InputArray response) = 0; }; +// "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 + class CV_EXPORTS_W AlignMTB : public ExposureAlign { public: @@ -184,8 +188,6 @@ public: CV_WRAP virtual void setExcludeRange(int exclude_range) = 0; }; -// "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 - CV_EXPORTS_W Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4); class CV_EXPORTS_W ExposureCalibrate : public Algorithm diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 6088b856d..9115b09f8 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -183,10 +183,10 @@ Ptr createTonemapDrago(float gamma, float saturation, float bias) class TonemapDurandImpl : public TonemapDurand { public: - TonemapDurandImpl(float gamma, float saturation, float contrast, float sigma_color, float sigma_space) : + TonemapDurandImpl(float gamma, float contrast, float saturation, float sigma_color, float sigma_space) : gamma(gamma), + contrast(contrast), saturation(saturation), - contrast(contrast), sigma_color(sigma_color), sigma_space(sigma_space), name("TonemapDurand") @@ -260,9 +260,9 @@ protected: float gamma, saturation, contrast, sigma_color, sigma_space; }; -Ptr createTonemapDurand(float gamma, float saturation, float contrast, float sigma_color, float sigma_space) +Ptr createTonemapDurand(float gamma, float contrast, float saturation, float sigma_color, float sigma_space) { - return new TonemapDurandImpl(gamma, saturation, contrast, sigma_color, sigma_space); + return new TonemapDurandImpl(gamma, contrast, saturation, sigma_color, sigma_space); } class TonemapReinhardDevlinImpl : public TonemapReinhardDevlin diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 2f2dfe2b0..693eac79b 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -97,7 +97,7 @@ TEST(Photo_Tonemap, regression) loadImage(test_path + "image.hdr", img); float gamma = 2.2f; - Ptr linear = createTonemapLinear(gamma); + Ptr linear = createTonemap(gamma); linear->process(img, result); loadImage(test_path + "linear.png", expected); result.convertTo(result, CV_8UC3, 255); From bef8d8192ed323bd12535216f27f39d3d2feddc2 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Tue, 6 Aug 2013 15:24:01 +0400 Subject: [PATCH 25/55] Minor fixes, new MergeDebevec --- modules/highgui/src/grfmt_hdr.cpp | 13 +- modules/photo/doc/hdr_imaging.rst | 4 +- modules/photo/include/opencv2/photo.hpp | 3 + modules/photo/src/calibrate.cpp | 30 ++-- modules/photo/src/hdr_common.cpp | 6 +- modules/photo/src/merge.cpp | 180 +++++++++++++++--------- modules/photo/src/tonemap.cpp | 6 +- modules/photo/test/test_hdr.cpp | 10 +- 8 files changed, 159 insertions(+), 93 deletions(-) diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp index 8e6b86e0d..8d25fe9ee 100644 --- a/modules/highgui/src/grfmt_hdr.cpp +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -90,6 +90,7 @@ bool HdrDecoder::readData(Mat& _img) } RGBE_ReadPixels_RLE(file, const_cast(img.ptr()), img.cols, img.rows); fclose(file); file = NULL; + if(_img.depth() == img.depth()) { img.convertTo(_img, _img.type()); } else { @@ -123,10 +124,16 @@ HdrEncoder::~HdrEncoder() bool HdrEncoder::write( const Mat& _img, const std::vector& params ) { - CV_Assert(_img.channels() == 3); Mat img; - if(_img.depth() != CV_32F) { - _img.convertTo(img, CV_32FC3, 1/255.0f); + CV_Assert(img.channels() == 3 || img.channels() == 1); + if(img.channels() == 1) { + std::vector splitted(3, _img); + merge(splitted, img); + } else { + _img.copyTo(img); + } + if(img.depth() != CV_32F) { + img.convertTo(img, CV_32FC3, 1/255.0f); } CV_Assert(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE); FILE *fout = fopen(m_filename.c_str(), "wb"); diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index 1e150ee25..c5f989ae4 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -193,7 +193,7 @@ Recovers camera response. :param src: vector of input images - :param dst: matrix with calculated camera response, one column per channel + :param dst: matrix with calculated camera response :param times: vector of exposure time values for each image @@ -231,7 +231,7 @@ Merges images. :param times: vector of exposure time values for each image - :param response: matrix with camera response, one column per channel + :param response: one-column matrix with camera response MergeDebevec -------- diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index 8c709b379..c3c91b8c2 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -206,6 +206,9 @@ public: CV_WRAP virtual int getSamples() const = 0; CV_WRAP virtual void setSamples(int samples) = 0; + + CV_WRAP virtual bool getTest() const = 0; + CV_WRAP virtual void setTest(bool val) = 0; }; CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f); diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp index 8a51f537a..c8c51cb5f 100644 --- a/modules/photo/src/calibrate.cpp +++ b/modules/photo/src/calibrate.cpp @@ -55,7 +55,8 @@ public: samples(samples), lambda(lambda), name("CalibrateDebevec"), - w(tringleWeights()) + w(tringleWeights()), + test(false) { } @@ -63,14 +64,19 @@ public: { std::vector images; src.getMatVector(images); - dst.create(256, images[0].channels(), CV_32F); - Mat response = dst.getMat(); - CV_Assert(!images.empty() && images.size() == times.size()); - CV_Assert(images[0].depth() == CV_8U); + CV_Assert(images.size() == times.size()); checkImageDimensions(images); + CV_Assert(images[0].depth() == CV_8U); - for(int channel = 0; channel < images[0].channels(); channel++) { + int channels = images[0].channels(); + int CV_32FCC = CV_MAKETYPE(CV_32F, channels); + + dst.create(256, 1, CV_32FCC); + Mat result = dst.getMat(); + + std::vector result_split(channels); + for(int channel = 0; channel < channels; channel++) { Mat A = Mat::zeros(samples * images.size() + 257, 256 + samples, CV_32F); Mat B = Mat::zeros(A.rows, 1, CV_32F); @@ -78,6 +84,9 @@ public: for(int i = 0; i < samples; i++) { int pos = 3 * (rand() % images[0].total()) + channel; + if(test) { + pos = 3 * i + channel; + } for(size_t j = 0; j < images.size(); j++) { int val = (images[j].ptr() + pos)[0]; @@ -98,11 +107,15 @@ public: } Mat solution; solve(A, B, solution, DECOMP_SVD); - solution.rowRange(0, 256).copyTo(response.col(channel)); + solution.rowRange(0, 256).copyTo(result_split[channel]); } - exp(response, response); + merge(result_split, result); + exp(result, result); } + bool getTest() const { return test; } + void setTest(bool val) { test = val; } + int getSamples() const { return samples; } void setSamples(int val) { samples = val; } @@ -128,6 +141,7 @@ protected: String name; int samples; float lambda; + bool test; Mat w; }; diff --git a/modules/photo/src/hdr_common.cpp b/modules/photo/src/hdr_common.cpp index 4aab5c045..6e58a239e 100644 --- a/modules/photo/src/hdr_common.cpp +++ b/modules/photo/src/hdr_common.cpp @@ -61,11 +61,9 @@ void checkImageDimensions(const std::vector& images) Mat tringleWeights() { - Mat w(256, 3, CV_32F); + Mat w(256, 1, CV_32F); for(int i = 0; i < 256; i++) { - for(int j = 0; j < 3; j++) { - w.at(i, j) = i < 128 ? i + 1.0f : 256.0f - i; - } + w.at(i) = i < 128 ? i + 1.0f : 256.0f - i; } return w; } diff --git a/modules/photo/src/merge.cpp b/modules/photo/src/merge.cpp index b7fcac6f8..7f45059c1 100644 --- a/modules/photo/src/merge.cpp +++ b/modules/photo/src/merge.cpp @@ -61,62 +61,87 @@ public: { std::vector images; src.getMatVector(images); - dst.create(images[0].size(), CV_MAKETYPE(CV_32F, images[0].channels())); - Mat result = dst.getMat(); CV_Assert(images.size() == times.size()); - CV_Assert(images[0].depth() == CV_8U); checkImageDimensions(images); + CV_Assert(images[0].depth() == CV_8U); + + int channels = images[0].channels(); + Size size = images[0].size(); + int CV_32FCC = CV_MAKETYPE(CV_32F, channels); + + dst.create(images[0].size(), CV_32FCC); + Mat result = dst.getMat(); Mat response = input_response.getMat(); - CV_Assert(response.rows == 256 && response.cols >= images[0].channels()); - Mat log_response; - log(response, log_response); - - std::vector exp_times(times.size()); - for(size_t i = 0; i < exp_times.size(); i++) { - exp_times[i] = logf(times[i]); + + if(response.empty()) { + response = linearResponse(channels); } + log(response, response); + CV_Assert(response.rows == 256 && response.cols == 1 && + response.channels() == channels); + + Mat exp_values(times); + log(exp_values, exp_values); - int channels = images[0].channels(); - float *res_ptr = result.ptr(); - for(size_t pos = 0; pos < result.total(); pos++, res_ptr += channels) { + result = Mat::zeros(size, CV_32FCC); + std::vector result_split; + split(result, result_split); + Mat weight_sum = Mat::zeros(size, CV_32F); - std::vector sum(channels, 0); - float weight_sum = 0; - for(size_t im = 0; im < images.size(); im++) { + for(size_t i = 0; i < images.size(); i++) { + std::vector splitted; + split(images[i], splitted); - uchar *img_ptr = images[im].ptr() + channels * pos; - float w = 0; - for(int channel = 0; channel < channels; channel++) { - w += weights.at(img_ptr[channel]); - } - w /= channels; - weight_sum += w; - for(int channel = 0; channel < channels; channel++) { - sum[channel] += w * (log_response.at(img_ptr[channel], channel) - exp_times[im]); - } + Mat w = Mat::zeros(size, CV_32F); + for(int c = 0; c < channels; c++) { + LUT(splitted[c], weights, splitted[c]); + w += splitted[c]; } - for(int channel = 0; channel < channels; channel++) { - res_ptr[channel] = exp(sum[channel] / weight_sum); + w /= channels; + + Mat response_img; + LUT(images[i], response, response_img); + split(response_img, splitted); + for(int c = 0; c < channels; c++) { + result_split[c] += w.mul(splitted[c] - exp_values.at(i)); } + weight_sum += w; } + weight_sum = 1.0f / weight_sum; + for(int c = 0; c < channels; c++) { + result_split[c] = result_split[c].mul(weight_sum); + } + merge(result_split, result); + exp(result, result); } void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) { - Mat response(256, 3, CV_32F); - for(int i = 0; i < 256; i++) { - for(int j = 0; j < 3; j++) { - response.at(i, j) = static_cast(max(i, 1)); - } - } - process(src, dst, times, response); + process(src, dst, times, Mat()); } protected: String name; Mat weights; + + Mat linearResponse(int channels) + { + Mat single_response = Mat(256, 1, CV_32F); + for(int i = 1; i < 256; i++) { + single_response.at(i) = static_cast(i); + } + single_response.at(0) = static_cast(1); + + std::vector splitted(channels); + for(int c = 0; c < channels; c++) { + splitted[c] = single_response; + } + Mat result; + merge(splitted, result); + return result; + } }; Ptr createMergeDebevec() @@ -146,33 +171,48 @@ public: src.getMatVector(images); checkImageDimensions(images); - std::vector weights(images.size()); - Mat weight_sum = Mat::zeros(images[0].size(), CV_32FC1); - for(size_t im = 0; im < images.size(); im++) { - Mat img, gray, contrast, saturation, wellexp; - std::vector channels(3); + int channels = images[0].channels(); + CV_Assert(channels == 1 || channels == 3); + Size size = images[0].size(); + int CV_32FCC = CV_MAKETYPE(CV_32F, channels); - images[im].convertTo(img, CV_32FC3, 1.0/255.0); - cvtColor(img, gray, COLOR_RGB2GRAY); - split(img, channels); + std::vector weights(images.size()); + Mat weight_sum = Mat::zeros(size, CV_32F); + + for(size_t i = 0; i < images.size(); i++) { + Mat img, gray, contrast, saturation, wellexp; + std::vector splitted(channels); + + images[i].convertTo(img, CV_32F, 1.0f/255.0f); + if(channels == 3) { + cvtColor(img, gray, COLOR_RGB2GRAY); + } else { + img.copyTo(gray); + } + split(img, splitted); Laplacian(gray, contrast, CV_32F); contrast = abs(contrast); - Mat mean = (channels[0] + channels[1] + channels[2]) / 3.0f; - saturation = Mat::zeros(channels[0].size(), CV_32FC1); - for(int i = 0; i < 3; i++) { - Mat deviation = channels[i] - mean; - pow(deviation, 2.0, deviation); + Mat mean = Mat::zeros(size, CV_32F); + for(int c = 0; c < channels; c++) { + mean += splitted[c]; + } + mean /= channels; + + saturation = Mat::zeros(size, CV_32F); + for(int c = 0; c < channels; c++) { + Mat deviation = splitted[c] - mean; + pow(deviation, 2.0f, deviation); saturation += deviation; } sqrt(saturation, saturation); - wellexp = Mat::ones(gray.size(), CV_32FC1); - for(int i = 0; i < 3; i++) { - Mat exp = channels[i] - 0.5f; - pow(exp, 2, exp); - exp = -exp / 0.08; + wellexp = Mat::ones(size, CV_32F); + for(int c = 0; c < channels; c++) { + Mat exp = splitted[c] - 0.5f; + pow(exp, 2.0f, exp); + exp = -exp / 0.08f; wellexp = wellexp.mul(exp); } @@ -180,33 +220,37 @@ public: pow(saturation, wsat, saturation); pow(wellexp, wexp, wellexp); - weights[im] = contrast; - weights[im] = weights[im].mul(saturation); - weights[im] = weights[im].mul(wellexp); - weight_sum += weights[im]; + weights[i] = contrast; + if(channels == 3) { + weights[i] = weights[i].mul(saturation); + } + weights[i] = weights[i].mul(wellexp); + weight_sum += weights[i]; } - int maxlevel = static_cast(logf(static_cast(max(images[0].rows, images[0].cols))) / logf(2.0)) - 1; + int maxlevel = static_cast(logf(static_cast(min(size.width, size.height))) / logf(2.0f)); std::vector res_pyr(maxlevel + 1); - for(size_t im = 0; im < images.size(); im++) { - weights[im] /= weight_sum; + for(size_t i = 0; i < images.size(); i++) { + weights[i] /= weight_sum; Mat img; - images[im].convertTo(img, CV_32FC3, 1/255.0); + images[i].convertTo(img, CV_32F, 1.0f/255.0f); + std::vector img_pyr, weight_pyr; buildPyramid(img, img_pyr, maxlevel); - buildPyramid(weights[im], weight_pyr, maxlevel); + buildPyramid(weights[i], weight_pyr, maxlevel); + for(int lvl = 0; lvl < maxlevel; lvl++) { Mat up; pyrUp(img_pyr[lvl + 1], up, img_pyr[lvl].size()); img_pyr[lvl] -= up; } for(int lvl = 0; lvl <= maxlevel; lvl++) { - std::vector channels(3); - split(img_pyr[lvl], channels); - for(int i = 0; i < 3; i++) { - channels[i] = channels[i].mul(weight_pyr[lvl]); + std::vector splitted(channels); + split(img_pyr[lvl], splitted); + for(int c = 0; c < channels; c++) { + splitted[c] = splitted[c].mul(weight_pyr[lvl]); } - merge(channels, img_pyr[lvl]); + merge(splitted, img_pyr[lvl]); if(res_pyr[lvl].empty()) { res_pyr[lvl] = img_pyr[lvl]; } else { @@ -219,7 +263,7 @@ public: pyrUp(res_pyr[lvl], up, res_pyr[lvl - 1].size()); res_pyr[lvl - 1] += up; } - dst.create(images[0].size(), CV_32FC3); + dst.create(size, CV_32FCC); res_pyr[0].copyTo(dst.getMat()); } diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 9115b09f8..1fd08954d 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -185,7 +185,7 @@ class TonemapDurandImpl : public TonemapDurand public: TonemapDurandImpl(float gamma, float contrast, float saturation, float sigma_color, float sigma_space) : gamma(gamma), - contrast(contrast), + contrast(contrast), saturation(saturation), sigma_color(sigma_color), sigma_space(sigma_space), @@ -462,8 +462,8 @@ protected: void signedPow(Mat src, float power, Mat& dst) { Mat sign = (src > 0); - sign.convertTo(sign, CV_32F, 1/255.0f); - sign = sign * 2 - 1; + sign.convertTo(sign, CV_32F, 1.0f/255.0f); + sign = sign * 2.0f - 1.0f; pow(abs(src), power, dst); dst = dst.mul(sign); } diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 693eac79b..b0a7e4938 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -78,11 +78,11 @@ void loadExposureSeq(String path, vector& images, vector& times = DE void loadResponseCSV(String path, Mat& response) { - response = Mat(256, 3, CV_32F); + response = Mat(256, 1, CV_32FC3); ifstream resp_file(path.c_str()); for(int i = 0; i < 256; i++) { - for(int channel = 0; channel < 3; channel++) { - resp_file >> response.at(i, channel); + for(int c = 0; c < 3; c++) { + resp_file >> response.at(i)[c]; resp_file.ignore(1); } } @@ -187,6 +187,7 @@ TEST(Photo_MergeDebevec, regression) Mat result, expected; loadImage(test_path + "merge/debevec.exr", expected); merge->process(images, result, times, response); + imwrite("test.exr", result); checkEqual(expected, result, 1e-3f); } @@ -199,9 +200,8 @@ TEST(Photo_CalibrateDebevec, regression) Mat expected, response; loadExposureSeq(test_path + "exposures/", images, times); loadResponseCSV(test_path + "calibrate/debevec.csv", expected); - Ptr calibrate = createCalibrateDebevec(); - srand(1); + calibrate->setTest(true); calibrate->process(images, response, times); checkEqual(expected, response, 1e-3f); } From c4fb0e9dbb44d7d56ced0db495808d0cd48b90d4 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Tue, 6 Aug 2013 15:41:32 +0400 Subject: [PATCH 26/55] few changes for compilation --- modules/photo/doc/hdr_imaging.rst | 11 ++++++----- modules/python/src2/cv2.cpp | 1 + 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index 1e150ee25..3d4d96690 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -16,6 +16,7 @@ Tonemap::process Tonemaps image .. ocv:function:: void Tonemap::process(InputArray src, OutputArray dst) + :param src: source image - 32-bit 3-channel Mat :param dst: destination image - 32-bit 3-channel Mat with values in [0, 1] range @@ -23,7 +24,7 @@ createTonemap ------------------ Creates simple linear mapper with gamma correction -.. ocv:function:: Ptr createTonemap(float gamma = 1.0f); +.. ocv:function:: Ptr createTonemap(float gamma = 1.0f) :param gamma: gamma value for gamma correction @@ -37,7 +38,7 @@ createTonemapDrago ------------------ Creates TonemapDrago object -.. ocv:function:: Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f); +.. ocv:function:: Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f) :param gamma: gamma value for gamma correction @@ -57,7 +58,7 @@ createTonemapDurand ------------------ Creates TonemapDurand object -.. ocv:function:: Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); +.. ocv:function:: Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f) :param gamma: gamma value for gamma correction @@ -99,7 +100,7 @@ createTonemapMantiuk ------------------ Creates TonemapMantiuk object -.. ocv:function:: CV_EXPORTS_W Ptr createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f); +.. ocv:function:: Ptr createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f) :param gamma: gamma value for gamma correction @@ -243,7 +244,7 @@ createMergeDebevec ------------------ Creates MergeDebevec object -.. ocv:function:: Ptr createMergeDebevec(); +.. ocv:function:: Ptr createMergeDebevec() MergeMertens -------- diff --git a/modules/python/src2/cv2.cpp b/modules/python/src2/cv2.cpp index 948e107e5..ec13c8eac 100644 --- a/modules/python/src2/cv2.cpp +++ b/modules/python/src2/cv2.cpp @@ -135,6 +135,7 @@ typedef Ptr Ptr_Tonemap; typedef Ptr Ptr_TonemapDrago; typedef Ptr Ptr_TonemapReinhardDevlin; typedef Ptr Ptr_TonemapDurand; +typedef Ptr Ptr_TonemapMantiuk; typedef Ptr Ptr_AlignMTB; typedef Ptr Ptr_CalibrateDebevec; typedef Ptr Ptr_MergeDebevec; From 4a4c5190f0a01f7433c5bfa8d59effcb0cebeed8 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Tue, 6 Aug 2013 17:49:02 +0400 Subject: [PATCH 27/55] Documentation updates --- modules/photo/doc/hdr_imaging.rst | 184 +++++++++++++++++++----------- 1 file changed, 117 insertions(+), 67 deletions(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index c5f989ae4..7c1f62d93 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -6,115 +6,135 @@ HDR imaging This section describes high dynamic range imaging algorithms, namely tonemapping, exposure alignment, camera calibration with multiple exposures and exposure fusion. Tonemap -------------- +--------------------------- .. ocv:class:: Tonemap : public Algorithm -The base class for tonemapping algorithms - tools, that are used to map HDR image to 8-bit range. +Base class for tonemapping algorithms - tools, that are used to map HDR image to 8-bit range. Tonemap::process ------------------------ +--------------------------- Tonemaps image .. ocv:function:: void Tonemap::process(InputArray src, OutputArray dst) + :param src: source image - 32-bit 3-channel Mat :param dst: destination image - 32-bit 3-channel Mat with values in [0, 1] range createTonemap ------------------- +--------------------------- Creates simple linear mapper with gamma correction -.. ocv:function:: Ptr createTonemap(float gamma = 1.0f); +.. ocv:function:: Ptr createTonemap(float gamma = 1.0f) - :param gamma: gamma value for gamma correction + :param gamma: positive value for gamma correction. Gamma value of 1.0 implies no correction, gamma equal to 2.2f is suitable for most displays. + + Generally gamma > 1 brightens the image and gamma < 1 darkens it. TonemapDrago --------- +--------------------------- .. ocv:class:: TonemapDrago : public Tonemap -"Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003 +Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain. + +Since it's a global operator the same function is applied to all the pixels, it is controlled by the bias parameter. + +Optional saturation enhancement is possible as described in [FL02]_. + +For more information see [DM03]_. createTonemapDrago ------------------- +--------------------------- Creates TonemapDrago object -.. ocv:function:: Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f); +.. ocv:function:: Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f) - :param gamma: gamma value for gamma correction + :param gamma: gamma value for gamma correction. See :ocv:func:`createTonemap` - :param saturation: saturation enhancement value + :param saturation: positive saturation enhancement value. 1.0 preserves saturation, values greater than 1 increase saturation and values less than 1 decrease it. - :param bias: value for bias function in [0, 1] range + :param bias: value for bias function in [0, 1] range. Values from 0.7 to 0.9 usually give best results, default value is 0.85. TonemapDurand --------- +--------------------------- .. ocv:class:: TonemapDurand : public Tonemap -"Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002 +This algorithm decomposes image into two layers: base layer and detail layer using bilateral filter and compresses contrast of the base layer thus preserving all the details. This implementation uses regular bilateral filter from opencv. +Saturation enhancement is possible as in ocv:class:`TonemapDrago`. + +For more information see [DD02]_. + createTonemapDurand ------------------- +--------------------------- Creates TonemapDurand object -.. ocv:function:: Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); +.. ocv:function:: Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f) - :param gamma: gamma value for gamma correction + :param gamma: gamma value for gamma correction. See :ocv:func:`createTonemap` - :param contrast: resulting contrast on logarithmic scale + :param contrast: resulting contrast on logarithmic scale, i. e. log(max / min), where max and min are maximum and minimum luminance values of the resulting image. - :param saturation: saturation enhancement value + :param saturation: saturation enhancement value. See :ocv:func:`createTonemapDrago` - :param sigma_space: filter sigma in color space + :param sigma_space: bilateral filter sigma in color space - :param sigma_color: filter sigma in coordinate space + :param sigma_color: bilateral filter sigma in coordinate space TonemapReinhardDevlin --------- +--------------------------- .. ocv:class:: TonemapReinhardDevlin : public Tonemap -"Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 +This is a global tonemapping operator that models human visual system. + +Mapping function is controlled by adaptation parameter, that is computed using light adaptation and color adaptation. + +For more information see [RD05]_. createTonemapReinhardDevlin ------------------- +--------------------------- Creates TonemapReinhardDevlin object .. ocv:function:: Ptr createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f) - :param gamma: gamma value for gamma correction + :param gamma: gamma value for gamma correction. See :ocv:func:`createTonemap` - :param intensity: result intensity. Range in [-8, 8] range + :param intensity: result intensity in [-8, 8] range. Greater intensity produces brighter results. - :param light_adapt: light adaptation in [0, 1] range. If 1 adaptation is based on pixel value, if 0 it's global + :param light_adapt: light adaptation in [0, 1] range. If 1 adaptation is based only on pixel value, if 0 it's global, otherwise it's a weighted mean of this two cases. - :param color_adapt: chromatic adaptation in [0, 1] range. If 1 channels are treated independently, if 0 adaptation level is the same for each channel + :param color_adapt: chromatic adaptation in [0, 1] range. If 1 channels are treated independently, if 0 adaptation level is the same for each channel. TonemapMantiuk --------- +--------------------------- .. ocv:class:: TonemapMantiuk : public Tonemap -"Perceptual Framework for Contrast Processing of High Dynamic Range Images", Mantiuk et al., 2006 +This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response. +After this the image is reconstructed from new contrast values. + +For more information see [MM06]_. createTonemapMantiuk ------------------- +--------------------------- Creates TonemapMantiuk object -.. ocv:function:: CV_EXPORTS_W Ptr createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f); +.. ocv:function:: Ptr createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f) - :param gamma: gamma value for gamma correction + :param gamma: gamma value for gamma correction. See :ocv:func:`createTonemap` - :param scale: contrast scale factor + :param scale: contrast scale factor. HVS response is multiplied by this parameter, thus compressing dynamic range. Values from 0.6 to 0.9 produce best results. - :param saturation: saturation enhancement value + :param saturation: saturation enhancement value. See :ocv:func:`createTonemapDrago` ExposureAlign -------------- +--------------------------- .. ocv:class:: ExposureAlign : public Algorithm The base class for algorithms that align images of the same scene with different exposures ExposureAlign::process ------------------------ +--------------------------- Aligns images .. ocv:function:: void ExposureAlign::process(InputArrayOfArrays src, OutputArrayOfArrays dst, const std::vector& times, InputArray response) @@ -128,15 +148,19 @@ Aligns images :param response: matrix with camera response, one column per channel AlignMTB --------- +--------------------------- .. ocv:class:: AlignMTB : public ExposureAlign -"Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 +This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminance and 0 otherwise) and than aligns the resulting bitmaps using bit operations. -This algorithm does not use exposure values and camera response, new image regions are filled with zeros. +It is invariant to exposure, so exposure values and camera response are not necessary. + +In this implementation new image regions are filled with zeros. + +For more information see [GW03]_. AlignMTB::process ------------------------ +--------------------------- Short version of process, that doesn't take extra arguments. .. ocv:function:: void AlignMTB::process(InputArrayOfArrays src, OutputArrayOfArrays dst) @@ -146,8 +170,8 @@ Short version of process, that doesn't take extra arguments. :param dst: vector of aligned images AlignMTB::calculateShift ------------------------ -Calculates shift between two images. +--------------------------- +Calculates shift between two images, i. e. how to shift the second image to correspond it with the first. .. ocv:function:: void AlignMTB::calculateShift(InputArray img0, InputArray img1, Point& shift) @@ -155,11 +179,11 @@ Calculates shift between two images. :param img1: second image - :param shift: how to shift the second image to correspond it with the first + :param shift: calculated shift AlignMTB::shiftMat ------------------------ -Gelper function, that shift Mat filling new regions with zeros. +--------------------------- +Helper function, that shift Mat filling new regions with zeros. .. ocv:function:: void AlignMTB::shiftMat(InputArray src, OutputArray dst, const Point shift) @@ -170,23 +194,23 @@ Gelper function, that shift Mat filling new regions with zeros. :param shift: shift value createAlignMTB ------------------- +--------------------------- Creates AlignMTB object .. ocv:function:: Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4) - :param max_bits: logarithm to the base 2 of maximal shift in each dimension + :param max_bits: logarithm to the base 2 of maximal shift in each dimension. Values of 5 and 6 are usually good enough (31 and 63 pixels shift respectively). - :param exclude_range: range for exclusion bitmap + :param exclude_range: range for exclusion bitmap that is constructed to suppress noise around the median value. ExposureCalibrate -------------- +--------------------------- .. ocv:class:: ExposureCalibrate : public Algorithm The base class for camera response calibration algorithms. ExposureCalibrate::process ------------------------ +--------------------------- Recovers camera response. .. ocv:function:: void ExposureCalibrate::process(InputArrayOfArrays src, OutputArray dst, std::vector& times) @@ -198,29 +222,32 @@ Recovers camera response. :param times: vector of exposure time values for each image CalibrateDebevec --------- +--------------------------- .. ocv:class:: CalibrateDebevec : public ExposureCalibrate -"Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 +Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. +Objective function is constructed using pixel values on the same position in all images, extra term is added to make the result smoother. + +For more information see [DM97]_. createCalibrateDebevec ------------------- +--------------------------- Creates CalibrateDebevec object .. ocv:function:: Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f) :param samples: number of pixel locations to use - :param lambda: smoothness term weight + :param lambda: smoothness term weight. Greater values produce smoother results, but can alter the response. ExposureMerge -------------- +--------------------------- .. ocv:class:: ExposureMerge : public Algorithm The base class algorithms that can merge exposure sequence to a single image. ExposureMerge::process ------------------------ +--------------------------- Merges images. .. ocv:function:: void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray response) @@ -234,27 +261,31 @@ Merges images. :param response: one-column matrix with camera response MergeDebevec --------- +--------------------------- .. ocv:class:: MergeDebevec : public ExposureMerge -"Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 +The resulting HDR image is calculated as weighted average of he exposures considering exposure values and camera response. + +For more information see [DM97]_. createMergeDebevec ------------------- +--------------------------- Creates MergeDebevec object .. ocv:function:: Ptr createMergeDebevec(); MergeMertens --------- +--------------------------- .. ocv:class:: MergeMertens : public ExposureMerge -"Exposure Fusion", Mertens et al., 2007 +Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids. -The resulting image doesn't require tonemapping and can be converted to 8-bit image by multiplying by 255. +The resulting image doesn't require tonemapping and can be converted to 8-bit image by multiplying by 255, but it's recommended to apply gamma correction and/or linear tonemapping. + +For more information see [MK07]_. MergeMertens::process ------------------------ +--------------------------- Short version of process, that doesn't take extra arguments. .. ocv:function:: void MergeMertens::process(InputArrayOfArrays src, OutputArray dst) @@ -265,7 +296,7 @@ Short version of process, that doesn't take extra arguments. createMergeMertens ------------------- +--------------------------- Creates MergeMertens object .. ocv:function:: Ptr createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f) @@ -274,4 +305,23 @@ Creates MergeMertens object :param saturation_weight: saturation factor weight - :param exposure_weight: well-exposedness factor weight \ No newline at end of file + :param exposure_weight: well-exposedness factor weight + +References +========== + +.. [DM03] F. Drago, K. Myszkowski, T. Annen, N. Chiba, "Adaptive Logarithmic Mapping For Displaying High Contrast Scenes", 2003. + +.. [FL02] R. Fattal, D. Lischinski, M. Werman, "Gradient Domain High Dynamic Range Compression", 2002. + +.. [DD02] F. Durand and Julie Dorsey, "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images",2002. + +.. [RD05] E. Reinhard, K. Devlin, "Dynamic Range Reduction Inspired by Photoreceptor Physiology", 2005. + +.. [MM06] R. Mantiuk, K. Myszkowski, H.-P. Seidel, "Perceptual Framework for Contrast Processing of High Dynamic Range Images", 2006. + +.. [GW03] G. Ward, "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", 2003. + +.. [DM97] P. Debevec, J. Malik, "Recovering High Dynamic Range Radiance Maps from Photographs", 1997. + +.. [MK07] T. Mertens, J. Kautz, F. Van Reeth, "Exposure Fusion", 2007. \ No newline at end of file From 3725c1fb4cc5ddaa7a80befe2ffc0f4d9acc092a Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Tue, 6 Aug 2013 18:13:34 +0400 Subject: [PATCH 28/55] Documentation updates --- modules/photo/doc/hdr_imaging.rst | 30 ++++++++++++++++-------------- 1 file changed, 16 insertions(+), 14 deletions(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index 365e5d694..def526b2a 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -1,15 +1,15 @@ HDR imaging -========== +============= .. highlight:: cpp -This section describes high dynamic range imaging algorithms, namely tonemapping, exposure alignment, camera calibration with multiple exposures and exposure fusion. +This section describes high dynamic range imaging algorithms namely tonemapping, exposure alignment, camera calibration with multiple exposures and exposure fusion. Tonemap --------------------------- .. ocv:class:: Tonemap : public Algorithm -Base class for tonemapping algorithms - tools, that are used to map HDR image to 8-bit range. +Base class for tonemapping algorithms - tools that are used to map HDR image to 8-bit range. Tonemap::process --------------------------- @@ -280,6 +280,8 @@ MergeMertens Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids. +The resulting image weight is constructed as weighted average of contrast, saturation and well-exposedness measures. + The resulting image doesn't require tonemapping and can be converted to 8-bit image by multiplying by 255, but it's recommended to apply gamma correction and/or linear tonemapping. For more information see [MK07]_. @@ -301,27 +303,27 @@ Creates MergeMertens object .. ocv:function:: Ptr createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f) - :param contrast_weight: contrast factor weight + :param contrast_weight: contrast measure weight. See :ocv:class:`MergeMertens`. - :param saturation_weight: saturation factor weight + :param saturation_weight: saturation measure weight - :param exposure_weight: well-exposedness factor weight + :param exposure_weight: well-exposedness measure weight References ========== -.. [DM03] F. Drago, K. Myszkowski, T. Annen, N. Chiba, "Adaptive Logarithmic Mapping For Displaying High Contrast Scenes", 2003. +.. [DM03] F. Drago, K. Myszkowski, T. Annen, N. Chiba, "Adaptive Logarithmic Mapping For Displaying High Contrast Scenes", Computer Graphics Forum, 2003, 22, 419 - 426. -.. [FL02] R. Fattal, D. Lischinski, M. Werman, "Gradient Domain High Dynamic Range Compression", 2002. +.. [FL02] R. Fattal, D. Lischinski, M. Werman, "Gradient Domain High Dynamic Range Compression", Proceedings OF ACM SIGGRAPH, 2002, 249 - 256. -.. [DD02] F. Durand and Julie Dorsey, "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images",2002. +.. [DD02] F. Durand and Julie Dorsey, "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", ACM Transactions on Graphics, 2002, 21, 3, 257 - –266. -.. [RD05] E. Reinhard, K. Devlin, "Dynamic Range Reduction Inspired by Photoreceptor Physiology", 2005. +.. [RD05] E. Reinhard, K. Devlin, "Dynamic Range Reduction Inspired by Photoreceptor Physiology", IEEE Transactions on Visualization and Computer Graphics, 2005, 11, 13 - 24. -.. [MM06] R. Mantiuk, K. Myszkowski, H.-P. Seidel, "Perceptual Framework for Contrast Processing of High Dynamic Range Images", 2006. +.. [MM06] R. Mantiuk, K. Myszkowski, H.-P. Seidel, "Perceptual Framework for Contrast Processing of High Dynamic Range Images", ACM Transactions on Applied Perception, 2006, 3, 3, 286 - 308. -.. [GW03] G. Ward, "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", 2003. +.. [GW03] G. Ward, "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Journal of Graphics Tools, 2003, 8, 17 - 30. -.. [DM97] P. Debevec, J. Malik, "Recovering High Dynamic Range Radiance Maps from Photographs", 1997. +.. [DM97] P. Debevec, J. Malik, "Recovering High Dynamic Range Radiance Maps from Photographs", Proceedings OF ACM SIGGRAPH, 1997, 369 - 378. -.. [MK07] T. Mertens, J. Kautz, F. Van Reeth, "Exposure Fusion", 2007. +.. [MK07] T. Mertens, J. Kautz, F. Van Reeth, "Exposure Fusion", Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007, 382 - 390. From 19082e0504917122158af87679315f450f19ca02 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Wed, 7 Aug 2013 11:15:41 +0400 Subject: [PATCH 29/55] Documentation update --- modules/photo/doc/hdr_imaging.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index def526b2a..b8090013d 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -145,7 +145,7 @@ Aligns images :param times: vector of exposure time values for each image - :param response: matrix with camera response, one column per channel + :param response: 256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images. AlignMTB --------------------------- @@ -211,13 +211,13 @@ The base class for camera response calibration algorithms. ExposureCalibrate::process --------------------------- -Recovers camera response. +Recovers inverse camera response. .. ocv:function:: void ExposureCalibrate::process(InputArrayOfArrays src, OutputArray dst, std::vector& times) :param src: vector of input images - :param dst: matrix with calculated camera response + :param dst: 256x1 matrix with inverse camera response function :param times: vector of exposure time values for each image @@ -258,7 +258,7 @@ Merges images. :param times: vector of exposure time values for each image - :param response: one-column matrix with camera response + :param response: 256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images. MergeDebevec --------------------------- From e2e604eb18b8bbe219f9a69d4b7dcf544cdb826a Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Thu, 22 Aug 2013 21:13:50 +0400 Subject: [PATCH 30/55] HDR writing bug fix --- modules/highgui/src/grfmt_hdr.cpp | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp index 8d25fe9ee..e35902f99 100644 --- a/modules/highgui/src/grfmt_hdr.cpp +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -122,15 +122,15 @@ HdrEncoder::~HdrEncoder() { } -bool HdrEncoder::write( const Mat& _img, const std::vector& params ) +bool HdrEncoder::write( const Mat& input_img, const std::vector& params ) { Mat img; - CV_Assert(img.channels() == 3 || img.channels() == 1); - if(img.channels() == 1) { - std::vector splitted(3, _img); + CV_Assert(input_img.channels() == 3 || input_img.channels() == 1); + if(input_img.channels() == 1) { + std::vector splitted(3, input_img); merge(splitted, img); } else { - _img.copyTo(img); + input_img.copyTo(img); } if(img.depth() != CV_32F) { img.convertTo(img, CV_32FC3, 1/255.0f); From 833f8d16fab5e57c5e800a55fa0fb08c7a31c3b1 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Mon, 26 Aug 2013 15:23:37 +0400 Subject: [PATCH 31/55] Robertson and tutorial --- doc/tutorials/images/photo.png | Bin 0 -> 494405 bytes .../photo/hdr_imaging/hdr_imaging.rst | 132 ++++++++++++++++++ .../photo/hdr_imaging/images/fusion.png | Bin 0 -> 703553 bytes .../photo/hdr_imaging/images/ldr.png | Bin 0 -> 573358 bytes .../photo/hdr_imaging/images/memorial.png | Bin 0 -> 501484 bytes .../table_of_content_photo/images/hdr.png | Bin 0 -> 617873 bytes .../table_of_content_photo.rst | 36 +++++ doc/tutorials/tutorials.rst | 17 ++- modules/photo/include/opencv2/photo.hpp | 24 ++++ modules/photo/src/calibrate.cpp | 117 ++++++++++++++++ modules/photo/src/hdr_common.cpp | 12 ++ modules/photo/src/hdr_common.hpp | 2 + modules/photo/src/merge.cpp | 70 ++++++++++ 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lighting conditions varying by ten orders of magnitude. When we take photographs bright regions may be overexposed and dark ones may be on the other hand underexposed so we can't capture the whole scene in a single exposure. HDR imaging works with images that use more that 8 bits per channel (usually 32-bit float values), allowing any dynamic range. + +There are different ways to obtain HDR images but the most common one is to use photographs of the scene taken with different exposure values. To combine the exposures it is useful to know your camera's response function and there are algorithms to estimate it. After the HDR image has been constructed it has to be converted back to 8-bit to view it on regular displays. This process is called tonemapping. Additional complexities arise when objects of the scene or camera move between shots. + +In this tutorial we show how to make and display HDR image provided we have exposure sequence. In our case images are already aligned and there are no moving objects. We also demonstrate an alternative approach called exposure fusion that produces low dynamic range image. Each step of this pipeline can be made using different algorithms so take a look at the reference manual to find them all. + +Exposure sequence +------------------ + +.. image:: images/memorial.png + :height: 357pt + :width: 242pt + :alt: Exposure sequence + :align: center + +Source Code +=========== + +.. literalinclude:: ../../../../samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp + :language: cpp + :linenos: + :tab-width: 4 + +Explanation +=========== + +1. **Load images and exposure times** + + .. code-block:: cpp + + vector images; + vector times; + loadExposureSeq(argv[1], images, times); + + First we load input images and exposure times from user-defined destination. The folder should contain images and *list.txt* - file that contains file names and inverse exposure times. + + For our image sequence the list looks like this: + + .. code-block:: none + + memorial00.png 0.03125 + memorial01.png 0.0625 + ... + memorial15.png 1024 + +2. **Estimate camera response** + + .. code-block:: cpp + + Mat response; + Ptr calibrate = createCalibrateDebevec(); + calibrate->process(images, response, times); + + It is necessary to know camera response function for most HDR construction algorithms. + + We use one of calibration algorithms to estimate inverse CRF for all 256 pixel values. + +3. **Make HDR image** + + .. code-block:: cpp + + Mat hdr; + Ptr merge_debevec = createMergeDebevec(); + merge_debevec->process(images, hdr, times, response); + + We use Debevec's weighting scheme to construct HDR image using response calculated in the previous item. + +4. **Tonemap HDR image** + + .. code-block:: cpp + + Mat ldr; + Ptr tonemap = createTonemapDurand(2.2f); + tonemap->process(hdr, ldr); + + Since we want to see our results on common LDR display we have to map our HDR image to 8-bit range preserving most details. + + That is what tonemapping algorithms are for. We use bilateral filtering tonemapper and set 2.2 as value for gamma correction. + +5. **Perform exposure fusion** + + .. code-block:: cpp + + Mat fusion; + Ptr merge_mertens = createMergeMertens(); + merge_mertens->process(images, fusion); + + There is an alternative way to merge our exposures in case we don't need HDR image. + + This process is called exposure fusion and produces LDR image that doesn't require gamma correction. It also doesn't use exposure values of the photographs. + +6. **Write results** + + .. code-block:: cpp + + imwrite("fusion.png", fusion * 255); + imwrite("ldr.png", ldr * 255); + imwrite("hdr.hdr", hdr); + + Now it's time to view the results. + + Note that HDR image can't be stored in one of common image formats, so we save it as Radiance image (.hdr). + + Also all HDR imaging functions return results in [0, 1] range so we multiply them by 255. + +Results +======= + +Tonemapped image +------------------ + +.. image:: images/ldr.png + :height: 357pt + :width: 242pt + :alt: Tonemapped image + :align: center + +Exposure fusion +------------------ + +.. image:: images/fusion.png + :height: 357pt + :width: 242pt + :alt: Exposure fusion + :align: center diff --git a/doc/tutorials/photo/hdr_imaging/images/fusion.png b/doc/tutorials/photo/hdr_imaging/images/fusion.png new file mode 100644 index 0000000000000000000000000000000000000000..40be9c0769cad2fffaeb6c5bac467e5d83ff04e7 GIT binary patch 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Computational photography +----------------------------------------------------------- + +Use OpenCV for advanced photo processing. + +.. include:: ../../definitions/tocDefinitions.rst + ++ + .. tabularcolumns:: m{100pt} m{300pt} + .. cssclass:: toctableopencv + + ============ ============================================== + |HDR| **Title:** :ref:`hdrimaging` + + *Compatibility:* TBA + + *Author:* Fedor Morozov + + Learn how to create and process high dynamic range images. + + ============ ============================================== + + .. |HDR| image:: images/hdr.png + :height: 90pt + :width: 90pt + +.. raw:: latex + + \pagebreak + +.. toctree:: + :hidden: + + ../hdr_imaging/hdr_imaging diff --git a/doc/tutorials/tutorials.rst b/doc/tutorials/tutorials.rst index cbc51c195..1e04509f4 100644 --- a/doc/tutorials/tutorials.rst +++ b/doc/tutorials/tutorials.rst @@ -132,7 +132,7 @@ As always, we would be happy to hear your comments and receive your contribution .. cssclass:: toctableopencv =========== ======================================================= - |ml| Use the powerfull machine learning classes for statistical classification, regression and clustering of data. + |ml| Use the powerful machine learning classes for statistical classification, regression and clustering of data. =========== ======================================================= @@ -141,6 +141,21 @@ As always, we would be happy to hear your comments and receive your contribution :width: 80pt :alt: ml Icon +* :ref:`Table-Of-Content-Photo` + + .. tabularcolumns:: m{100pt} m{300pt} + .. cssclass:: toctableopencv + + =========== ======================================================= + |photo| Use OpenCV for advanced photo processing. + + =========== ======================================================= + + .. |photo| image:: images/photo.png + :height: 80pt + :width: 80pt + :alt: photo Icon + * :ref:`Table-Of-Content-GPU` .. tabularcolumns:: m{100pt} m{300pt} diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index c3c91b8c2..f96aa4505 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -213,6 +213,20 @@ public: CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f); +// "Dynamic range improvement through multiple exposures", Robertson et al., 1999 + +class CV_EXPORTS_W CalibrateRobertson : public ExposureCalibrate +{ +public: + CV_WRAP virtual int getMaxIter() const = 0; + CV_WRAP virtual void setMaxIter(int max_iter) = 0; + + CV_WRAP virtual float getThreshold() const = 0; + CV_WRAP virtual void setThreshold(float threshold) = 0; +}; + +CV_EXPORTS_W Ptr createCalibrateRobertson(int samples = 50, float lambda = 10.0f); + class CV_EXPORTS_W ExposureMerge : public Algorithm { public: @@ -254,6 +268,16 @@ public: CV_EXPORTS_W Ptr createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f); +// "Dynamic range improvement through multiple exposures", Robertson et al., 1999 + +class CV_EXPORTS_W MergeRobertson : public ExposureMerge +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, + const std::vector& times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) = 0; +}; + } // cv #endif diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp index c8c51cb5f..ab21a8603 100644 --- a/modules/photo/src/calibrate.cpp +++ b/modules/photo/src/calibrate.cpp @@ -150,4 +150,121 @@ Ptr createCalibrateDebevec(int samples, float lambda) return new CalibrateDebevecImpl(samples, lambda); } +class CalibrateRobertsonImpl : public CalibrateRobertson +{ +public: + CalibrateRobertsonImpl(int max_iter, float threshold) : + max_iter(max_iter), + threshold(threshold), + name("CalibrateRobertson"), + weight(RobertsonWeights()) + { + } + + void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) + { + std::vector images; + src.getMatVector(images); + + CV_Assert(images.size() == times.size()); + checkImageDimensions(images); + CV_Assert(images[0].depth() == CV_8U); + + int channels = images[0].channels(); + int CV_32FCC = CV_MAKETYPE(CV_32F, channels); + + dst.create(256, 1, CV_32FCC); + Mat response = dst.getMat(); + + response = Mat::zeros(256, 1, CV_32FCC); + for(int i = 0; i < 256; i++) { + for(int c = 0; c < channels; c++) { + response.at(i)[c] = i / 128.0; + } + } + + Mat card = Mat::zeros(256, 1, CV_32FCC); + for(int i = 0; i < images.size(); i++) { + uchar *ptr = images[i].ptr(); + for(int pos = 0; pos < images[i].total(); pos++) { + for(int c = 0; c < channels; c++, ptr++) { + card.at(*ptr)[c] += 1; + } + } + } + card = 1.0 / card; + + for(int iter = 0; iter < max_iter; iter++) { + + Scalar channel_err(0, 0, 0); + Mat radiance = Mat::zeros(images[0].size(), CV_32FCC); + Mat wsum = Mat::zeros(images[0].size(), CV_32FCC); + for(int i = 0; i < images.size(); i++) { + Mat im, w; + LUT(images[i], weight, w); + LUT(images[i], response, im); + + Mat err_mat; + pow(im - times[i] * radiance, 2.0f, err_mat); + err_mat = w.mul(err_mat); + channel_err += sum(err_mat); + + radiance += times[i] * w.mul(im); + wsum += pow(times[i], 2) * w; + } + float err = (channel_err[0] + channel_err[1] + channel_err[2]) / (channels * radiance.total()); + radiance = radiance.mul(1 / wsum); + + float* rad_ptr = radiance.ptr(); + response = Mat::zeros(256, 1, CV_32FC3); + for(int i = 0; i < images.size(); i++) { + uchar *ptr = images[i].ptr(); + for(int pos = 0; pos < images[i].total(); pos++) { + for(int c = 0; c < channels; c++, ptr++, rad_ptr++) { + response.at(*ptr)[c] += times[i] * *rad_ptr; + } + } + } + response = response.mul(card); + for(int c = 0; c < 3; c++) { + for(int i = 0; i < 256; i++) { + response.at(i)[c] /= response.at(128)[c]; + } + } + } + } + + int getMaxIter() const { return max_iter; } + void setMaxIter(int val) { max_iter = val; } + + float getThreshold() const { return threshold; } + void setThreshold(float val) { threshold = val; } + + void write(FileStorage& fs) const + { + fs << "name" << name + << "max_iter" << max_iter + << "threshold" << threshold; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + max_iter = fn["max_iter"]; + threshold = fn["threshold"]; + } + +protected: + String name; + int max_iter; + float threshold; + Mat weight; +}; + +Ptr createCalibrateRobertson(int max_iter, float threshold) +{ + return new CalibrateRobertsonImpl(max_iter, threshold); +} + } \ No newline at end of file diff --git a/modules/photo/src/hdr_common.cpp b/modules/photo/src/hdr_common.cpp index 6e58a239e..80bd87f39 100644 --- a/modules/photo/src/hdr_common.cpp +++ b/modules/photo/src/hdr_common.cpp @@ -68,6 +68,18 @@ Mat tringleWeights() return w; } +Mat RobertsonWeights() +{ + Mat weight(256, 1, CV_32FC3); + for(int i = 0; i < 256; i++) { + float value = exp(-4.0f * pow(i - 127.5f, 2.0f) / pow(127.5f, 2.0f)); + for(int c = 0; c < 3; c++) { + weight.at(i)[c] = value; + } + } + return weight; +} + void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation) { std::vector channels(3); diff --git a/modules/photo/src/hdr_common.hpp b/modules/photo/src/hdr_common.hpp index 5aef1f9f0..191ac6391 100644 --- a/modules/photo/src/hdr_common.hpp +++ b/modules/photo/src/hdr_common.hpp @@ -54,6 +54,8 @@ Mat tringleWeights(); void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation); +Mat RobertsonWeights(); + }; #endif diff --git a/modules/photo/src/merge.cpp b/modules/photo/src/merge.cpp index 7f45059c1..2cf06c1f3 100644 --- a/modules/photo/src/merge.cpp +++ b/modules/photo/src/merge.cpp @@ -303,4 +303,74 @@ Ptr createMergeMertens(float wcon, float wsat, float wexp) return new MergeMertensImpl(wcon, wsat, wexp); } +class MergeRobertsonImpl : public MergeRobertson +{ +public: + MergeRobertsonImpl() : + name("MergeRobertson"), + weight(RobertsonWeights()) + { + } + + void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray input_response) + { + std::vector images; + src.getMatVector(images); + + CV_Assert(images.size() == times.size()); + checkImageDimensions(images); + CV_Assert(images[0].depth() == CV_8U); + + int channels = images[0].channels(); + int CV_32FCC = CV_MAKETYPE(CV_32F, channels); + + dst.create(images[0].size(), CV_32FCC); + Mat result = dst.getMat(); + + Mat response = input_response.getMat(); + if(response.empty()) { + response = linearResponse(channels); + } + CV_Assert(response.rows == 256 && response.cols == 1 && + response.channels() == channels); + + result = Mat::zeros(images[0].size(), CV_32FCC); + Mat wsum = Mat::zeros(images[0].size(), CV_32FCC); + for(size_t i = 0; i < images.size(); i++) { + Mat im, w; + LUT(images[i], weight, w); + LUT(images[i], response, im); + + result += times[i] * w.mul(im); + wsum += pow(times[i], 2) * w; + } + result = result.mul(1 / wsum); + } + + void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) + { + process(src, dst, times, Mat()); + } + +protected: + String name; + Mat weight; + + Mat linearResponse(int channels) + { + Mat response = Mat::zeros(256, 1, CV_32FC3); + for(int i = 0; i < 256; i++) { + for(int c = 0; c < 3; c++) { + response.at(i)[c] = static_cast(i) / 128.0f; + } + } + return response; + } +}; + +Ptr createMergeRobertson() +{ + return new MergeRobertsonImpl; +} + } diff --git a/samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp b/samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp new file mode 100644 index 000000000..e16f6d48f --- /dev/null +++ b/samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp @@ -0,0 +1,51 @@ +#include +#include +#include +#include +#include + +using namespace cv; +using namespace std; + +void loadExposureSeq(String path, vector& images, vector& times) +{ + path += "/"; + ifstream list_file((path + "list.txt").c_str()); + string name; + float val; + while(list_file >> name >> val) { + Mat img = imread(path + name); + images.push_back(img); + times.push_back(1 / val); + } + list_file.close(); +} + +int main(int argc, char**argv) +{ + vector images; + vector times; + loadExposureSeq(argv[1], images, times); + + Mat response; + Ptr calibrate = createCalibrateDebevec(); + calibrate->process(images, response, times); + + Mat hdr; + Ptr merge_debevec = createMergeDebevec(); + merge_debevec->process(images, hdr, times, response); + + Mat ldr; + Ptr tonemap = createTonemapDurand(2.2f); + tonemap->process(hdr, ldr); + + Mat fusion; + Ptr merge_mertens = createMergeMertens(); + merge_mertens->process(images, fusion); + + imwrite("fusion.png", fusion * 255); + imwrite("ldr.png", ldr * 255); + imwrite("hdr.hdr", hdr); + + return 0; +} \ No newline at end of file From 9f9873017c02b2b731aea3b33776118e8517ac13 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Wed, 28 Aug 2013 02:17:49 +0400 Subject: [PATCH 32/55] HDR test changes --- modules/photo/include/opencv2/photo.hpp | 3 --- modules/photo/src/calibrate.cpp | 10 +--------- modules/photo/test/test_hdr.cpp | 26 ++++++++++++------------- 3 files changed, 14 insertions(+), 25 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index f96aa4505..075d28d36 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -206,9 +206,6 @@ public: CV_WRAP virtual int getSamples() const = 0; CV_WRAP virtual void setSamples(int samples) = 0; - - CV_WRAP virtual bool getTest() const = 0; - CV_WRAP virtual void setTest(bool val) = 0; }; CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f); diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp index ab21a8603..95951a48d 100644 --- a/modules/photo/src/calibrate.cpp +++ b/modules/photo/src/calibrate.cpp @@ -55,8 +55,7 @@ public: samples(samples), lambda(lambda), name("CalibrateDebevec"), - w(tringleWeights()), - test(false) + w(tringleWeights()) { } @@ -84,9 +83,6 @@ public: for(int i = 0; i < samples; i++) { int pos = 3 * (rand() % images[0].total()) + channel; - if(test) { - pos = 3 * i + channel; - } for(size_t j = 0; j < images.size(); j++) { int val = (images[j].ptr() + pos)[0]; @@ -113,9 +109,6 @@ public: exp(result, result); } - bool getTest() const { return test; } - void setTest(bool val) { test = val; } - int getSamples() const { return samples; } void setSamples(int val) { samples = val; } @@ -141,7 +134,6 @@ protected: String name; int samples; float lambda; - bool test; Mat w; }; diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index b0a7e4938..a3d69900b 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -79,11 +79,11 @@ void loadExposureSeq(String path, vector& images, vector& times = DE void loadResponseCSV(String path, Mat& response) { response = Mat(256, 1, CV_32FC3); - ifstream resp_file(path.c_str()); + ifstream resp_file(path); for(int i = 0; i < 256; i++) { for(int c = 0; c < 3; c++) { resp_file >> response.at(i)[c]; - resp_file.ignore(1); + resp_file.ignore(1); } } resp_file.close(); @@ -101,31 +101,31 @@ TEST(Photo_Tonemap, regression) linear->process(img, result); loadImage(test_path + "linear.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); Ptr drago = createTonemapDrago(gamma); drago->process(img, result); loadImage(test_path + "drago.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); Ptr durand = createTonemapDurand(gamma); durand->process(img, result); loadImage(test_path + "durand.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); Ptr reinhard_devlin = createTonemapReinhardDevlin(gamma); reinhard_devlin->process(img, result); loadImage(test_path + "reinharddevlin.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); Ptr mantiuk = createTonemapMantiuk(gamma); mantiuk->process(img, result); loadImage(test_path + "mantiuk.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); } TEST(Photo_AlignMTB, regression) @@ -169,7 +169,7 @@ TEST(Photo_MergeMertens, regression) loadImage(test_path + "merge/mertens.png", expected); merge->process(images, result); result.convertTo(result, CV_8UC3, 255); - checkEqual(expected, result, 0); + checkEqual(expected, result, 3); } TEST(Photo_MergeDebevec, regression) @@ -188,7 +188,7 @@ TEST(Photo_MergeDebevec, regression) loadImage(test_path + "merge/debevec.exr", expected); merge->process(images, result, times, response); imwrite("test.exr", result); - checkEqual(expected, result, 1e-3f); + checkEqual(expected, result, 1e-2f); } TEST(Photo_CalibrateDebevec, regression) @@ -197,11 +197,11 @@ TEST(Photo_CalibrateDebevec, regression) vector images; vector times; - Mat expected, response; + Mat response, expected; loadExposureSeq(test_path + "exposures/", images, times); - loadResponseCSV(test_path + "calibrate/debevec.csv", expected); + loadResponseCSV(test_path + "calibrate/debevec.csv", expected); Ptr calibrate = createCalibrateDebevec(); - calibrate->setTest(true); + srand(1); calibrate->process(images, response, times); - checkEqual(expected, response, 1e-3f); + checkEqual(expected, response, 1e-3f); } From e15eabe3fae72643d9705b79c9eb8f8d5d3d2c7a Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Mon, 2 Sep 2013 16:03:10 +0400 Subject: [PATCH 33/55] Ghostbusters --- modules/photo/include/opencv2/photo.hpp | 74 ++++- modules/photo/src/align.cpp | 344 ++++++++++++++++++++++-- modules/photo/src/calibrate.cpp | 10 +- modules/photo/src/hdr_common.cpp | 17 ++ modules/photo/src/hdr_common.hpp | 1 + modules/photo/src/merge.cpp | 30 +-- modules/photo/test/test_hdr.cpp | 26 +- 7 files changed, 427 insertions(+), 75 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index f96aa4505..ca9adb7d0 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -164,7 +164,7 @@ createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = class CV_EXPORTS_W ExposureAlign : public Algorithm { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst, const std::vector& times, InputArray response) = 0; }; @@ -173,22 +173,26 @@ public: class CV_EXPORTS_W AlignMTB : public ExposureAlign { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst, const std::vector& times, InputArray response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst) = 0; CV_WRAP virtual void calculateShift(InputArray img0, InputArray img1, Point& shift) = 0; CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0; + CV_WRAP virtual void computeBitmaps(Mat& img, Mat& tb, Mat& eb) = 0; CV_WRAP virtual int getMaxBits() const = 0; CV_WRAP virtual void setMaxBits(int max_bits) = 0; CV_WRAP virtual int getExcludeRange() const = 0; CV_WRAP virtual void setExcludeRange(int exclude_range) = 0; + + CV_WRAP virtual bool getCut() const = 0; + CV_WRAP virtual void setCut(bool value) = 0; }; -CV_EXPORTS_W Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4); +CV_EXPORTS_W Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4, bool cut = true); class CV_EXPORTS_W ExposureCalibrate : public Algorithm { @@ -206,9 +210,6 @@ public: CV_WRAP virtual int getSamples() const = 0; CV_WRAP virtual void setSamples(int samples) = 0; - - CV_WRAP virtual bool getTest() const = 0; - CV_WRAP virtual void setTest(bool val) = 0; }; CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f); @@ -278,6 +279,65 @@ public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) = 0; }; +CV_EXPORTS_W Ptr createMergeRobertson(); + +class CV_EXPORTS_W Ghostbuster : public Algorithm +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) = 0; +}; + +// "Ghost Detection and Removal in High Dynamic Range Images", Sidibe et al., 2009 + +class CV_EXPORTS_W GhostbusterOrder : public Ghostbuster +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; + + CV_WRAP virtual int getUnderexp() = 0; + CV_WRAP virtual void setUnderexp(int value) = 0; + + CV_WRAP virtual int getOverexp() = 0; + CV_WRAP virtual void setOverexp(int value) = 0; +}; + +CV_EXPORTS_W Ptr createGhostbusterOrder(int underexp = 20, int overexp = 240); + +// "Fast and Robust High Dynamic Range Image Generation with Camera and Object Movement", Grosch, 2006 + +class CV_EXPORTS_W GhostbusterPredict : public Ghostbuster +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) = 0; + + CV_WRAP virtual int getThreshold() = 0; + CV_WRAP virtual void setThreshold(int value) = 0; + + CV_WRAP virtual int getUnderexp() = 0; + CV_WRAP virtual void setUnderexp(int value) = 0; + + CV_WRAP virtual int getOverexp() = 0; + CV_WRAP virtual void setOverexp(int value) = 0; +}; + +CV_EXPORTS_W Ptr createGhostbusterPredict(int thresh = 10, int underexp = 20, int overexp = 240); + +// "Bitmap Movement Detection: HDR for Dynamic Scenes", Pece, Kautz, 2010 + +class CV_EXPORTS_W GhostbusterBitmap : public Ghostbuster +{ +public: + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; + + CV_WRAP virtual int getExclude() = 0; + CV_WRAP virtual void setExclude(int value) = 0; +}; + +CV_EXPORTS_W Ptr createGhostbusterBitmap(int exclude = 4); + } // cv #endif diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 505ff3e21..7eb9c6f09 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -50,25 +50,25 @@ namespace cv class AlignMTBImpl : public AlignMTB { public: - AlignMTBImpl(int max_bits, int exclude_range) : + AlignMTBImpl(int max_bits, int exclude_range, bool cut) : max_bits(max_bits), exclude_range(exclude_range), + cut(cut), name("AlignMTB") { } - void process(InputArrayOfArrays src, OutputArrayOfArrays dst, + void process(InputArrayOfArrays src, std::vector& dst, const std::vector& times, InputArray response) { process(src, dst); } - void process(InputArrayOfArrays _src, OutputArray _dst) + void process(InputArrayOfArrays _src, std::vector& dst) { - std::vector src, dst; + std::vector src; _src.getMatVector(src); - _dst.getMatVector(dst); - + checkImageDimensions(src); dst.resize(src.size()); @@ -76,17 +76,41 @@ public: dst[pivot] = src[pivot]; Mat gray_base; cvtColor(src[pivot], gray_base, COLOR_RGB2GRAY); + std::vector shifts; for(size_t i = 0; i < src.size(); i++) { if(i == pivot) { + shifts.push_back(Point(0, 0)); continue; } Mat gray; cvtColor(src[i], gray, COLOR_RGB2GRAY); Point shift; calculateShift(gray_base, gray, shift); + shifts.push_back(shift); shiftMat(src[i], dst[i], shift); } + if(cut) { + Point max(0, 0), min(0, 0); + for(size_t i = 0; i < shifts.size(); i++) { + if(shifts[i].x > max.x) { + max.x = shifts[i].x; + } + if(shifts[i].y > max.y) { + max.y = shifts[i].y; + } + if(shifts[i].x < min.x) { + min.x = shifts[i].x; + } + if(shifts[i].y < min.y) { + min.y = shifts[i].y; + } + } + Point size = dst[0].size(); + for(size_t i = 0; i < dst.size(); i++) { + dst[i] = dst[i](Rect(max, min + size)); + } + } } void calculateShift(InputArray _img0, InputArray _img1, Point& shift) @@ -109,8 +133,8 @@ public: shift *= 2; Mat tb1, tb2, eb1, eb2; - computeBitmaps(pyr0[level], tb1, eb1, exclude_range); - computeBitmaps(pyr1[level], tb2, eb2, exclude_range); + computeBitmaps(pyr0[level], tb1, eb1); + computeBitmaps(pyr1[level], tb2, eb2); int min_err = pyr0[level].total(); Point new_shift(shift); @@ -140,12 +164,13 @@ public: _dst.create(src.size(), src.type()); Mat dst = _dst.getMat(); - dst = Mat::zeros(src.size(), src.type()); + Mat res = Mat::zeros(src.size(), src.type()); int width = src.cols - abs(shift.x); int height = src.rows - abs(shift.y); Rect dst_rect(max(shift.x, 0), max(shift.y, 0), width, height); Rect src_rect(max(-shift.x, 0), max(-shift.y, 0), width, height); - src(src_rect).copyTo(dst(dst_rect)); + src(src_rect).copyTo(res(dst_rect)); + res.copyTo(dst); } int getMaxBits() const { return max_bits; } @@ -154,11 +179,15 @@ public: int getExcludeRange() const { return exclude_range; } void setExcludeRange(int val) { exclude_range = val; } + bool getCut() const { return cut; } + void setCut(bool val) { cut = val; } + void write(FileStorage& fs) const { fs << "name" << name << "max_bits" << max_bits - << "exclude_range" << exclude_range; + << "exclude_range" << exclude_range + << "cut" << static_cast(cut); } void read(const FileNode& fn) @@ -167,11 +196,21 @@ public: CV_Assert(n.isString() && String(n) == name); max_bits = fn["max_bits"]; exclude_range = fn["exclude_range"]; + int cut_val = fn["cut"]; + cut = static_cast(cut_val); + } + + void computeBitmaps(Mat& img, Mat& tb, Mat& eb) + { + int median = getMedian(img); + compare(img, median, tb, CMP_GT); + compare(abs(img - median), exclude_range, eb, CMP_GT); } protected: String name; int max_bits, exclude_range; + bool cut; void downsample(Mat& src, Mat& dst) { @@ -217,18 +256,289 @@ protected: } return median; } +}; - void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range) +Ptr createAlignMTB(int max_bits, int exclude_range, bool cut) +{ + return new AlignMTBImpl(max_bits, exclude_range, cut); +} + +class floatIndexCmp { +public: + floatIndexCmp(std::vector data) : + data(data) { - int median = getMedian(img); - compare(img, median, tb, CMP_GT); - compare(abs(img - median), exclude_range, eb, CMP_GT); + } + + bool operator() (int i,int j) + { + return data[i] < data[j]; + } +protected: + std::vector data; +}; + +class GhostbusterOrderImpl : public GhostbusterOrder +{ +public: + GhostbusterOrderImpl(int underexp, int overexp) : + underexp(underexp), + overexp(overexp), + name("GhostbusterOrder") + { + } + + void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) + { + process(src, dst); + } + + void process(InputArrayOfArrays src, OutputArray dst) + { + std::vector unsorted_images; + src.getMatVector(unsorted_images); + checkImageDimensions(unsorted_images); + + std::vector images; + sortImages(unsorted_images, images); + + int channels = images[0].channels(); + dst.create(images[0].size(), CV_8U); + + Mat res = Mat::zeros(images[0].size(), CV_8U); + + std::vector splitted(channels); + split(images[0], splitted); + for(int i = 0; i < images.size() - 1; i++) { + + std::vector next_splitted(channels); + split(images[i + 1], next_splitted); + + for(int c = 0; c < channels; c++) { + Mat exposed = (splitted[c] >= underexp) & (splitted[c] <= overexp); + exposed &= (next_splitted[c] >= underexp) & (next_splitted[c] <= overexp); + Mat ghost = (splitted[c] > next_splitted[c]) & exposed; + res |= ghost; + } + splitted = next_splitted; + } + res.copyTo(dst.getMat()); + } + + int getUnderexp() {return underexp;} + void setUnderexp(int value) {underexp = value;} + + int getOverexp() {return overexp;} + void setOverexp(int value) {overexp = value;} + + void write(FileStorage& fs) const + { + fs << "name" << name + << "overexp" << overexp + << "underexp" << underexp; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + overexp = fn["overexp"]; + underexp = fn["underexp"]; + } + +protected: + int overexp, underexp; + String name; + + void sortImages(std::vector& images, std::vector& sorted) + { + std::vectorindices(images.size()); + std::vectormeans(images.size()); + for(size_t i = 0; i < images.size(); i++) { + indices[i] = i; + means[i] = mean(mean(images[i]))[0]; + } + sort(indices.begin(), indices.end(), floatIndexCmp(means)); + sorted.resize(images.size()); + for(size_t i = 0; i < images.size(); i++) { + sorted[i] = images[indices[i]]; + } } }; -CV_EXPORTS_W Ptr createAlignMTB(int max_bits, int exclude_range) +Ptr createGhostbusterOrder(int underexp, int overexp) { - return new AlignMTBImpl(max_bits, exclude_range); + return new GhostbusterOrderImpl(underexp, overexp); +} + +class GhostbusterPredictImpl : public GhostbusterPredict +{ +public: + GhostbusterPredictImpl(int thresh, int underexp, int overexp) : + thresh(thresh), + underexp(underexp), + overexp(overexp), + name("GhostbusterPredict") + { + } + + void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) + { + std::vector images; + src.getMatVector(images); + checkImageDimensions(images); + + int channels = images[0].channels(); + dst.create(images[0].size(), CV_8U); + + Mat res = Mat::zeros(images[0].size(), CV_8U); + + Mat radiance; + LUT(images[0], response, radiance); + std::vector splitted(channels); + split(radiance, splitted); + std::vector resp_split(channels); + split(response, resp_split); + for(int i = 0; i < images.size() - 1; i++) { + + std::vector next_splitted(channels); + LUT(images[i + 1], response, radiance); + split(radiance, next_splitted); + + for(int c = 0; c < channels; c++) { + + Mat predicted = splitted[c] / times[i] * times[i + 1]; + + Mat low = max(thresh, next_splitted[c]) - thresh; + Mat high = min(255 - thresh, next_splitted[c]) + thresh; + low.convertTo(low, CV_8U); + high.convertTo(high, CV_8U); + LUT(low, resp_split[c], low); + LUT(high, resp_split[c], high); + + Mat exposed = (splitted[c] >= underexp) & (splitted[c] <= overexp); + exposed &= (next_splitted[c] >= underexp) & (next_splitted[c] <= overexp); + + Mat ghost = (low < predicted) & (predicted < high); + ghost &= exposed; + res |= ghost; + } + splitted = next_splitted; + } + res.copyTo(dst.getMat()); + } + + virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) + { + process(src, dst, times, linearResponse(3)); + } + + CV_WRAP virtual int getThreshold() {return thresh;} + CV_WRAP virtual void setThreshold(int value) {thresh = value;} + + int getUnderexp() {return underexp;} + void setUnderexp(int value) {underexp = value;} + + int getOverexp() {return overexp;} + void setOverexp(int value) {overexp = value;} + + void write(FileStorage& fs) const + { + fs << "name" << name + << "overexp" << overexp + << "underexp" << underexp + << "thresh" << thresh; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + overexp = fn["overexp"]; + underexp = fn["underexp"]; + thresh = fn["thresh"]; + } + +protected: + int thresh, underexp, overexp; + String name; +}; + +Ptr createGhostbusterPredict(int thresh, int underexp, int overexp) +{ + return new GhostbusterPredictImpl(thresh, underexp, overexp); +} + +class GhostbusterBitmapImpl : public GhostbusterBitmap +{ +public: + GhostbusterBitmapImpl(int exclude) : + exclude(exclude), + name("GhostbusterBitmap") + { + } + + void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) + { + process(src, dst); + } + + void process(InputArrayOfArrays src, OutputArray dst) + { + std::vector images; + src.getMatVector(images); + checkImageDimensions(images); + + int channels = images[0].channels(); + dst.create(images[0].size(), CV_8U); + + Mat res = Mat::zeros(images[0].size(), CV_8U); + + Ptr MTB = createAlignMTB(); + MTB->setExcludeRange(exclude); + + for(size_t i = 0; i < images.size(); i++) { + Mat gray; + if(channels == 1) { + gray = images[i]; + } else { + cvtColor(images[i], gray, COLOR_RGB2GRAY); + } + + Mat tb, eb; + MTB->computeBitmaps(gray, tb, eb); + tb &= eb & 1; + res += tb; + } + res = (res > 0) & (res < images.size()); + res.copyTo(dst.getMat()); + } + + int getExclude() {return exclude;} + void setExclude(int value) {exclude = value;} + + void write(FileStorage& fs) const + { + fs << "name" << name + << "exclude" << exclude; + } + + void read(const FileNode& fn) + { + FileNode n = fn["name"]; + CV_Assert(n.isString() && String(n) == name); + exclude = fn["exclude"]; + } + +protected: + int exclude; + String name; +}; + +Ptr createGhostbusterBitmap(int exclude) +{ + return new GhostbusterBitmapImpl(exclude); } } + diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp index ab21a8603..95951a48d 100644 --- a/modules/photo/src/calibrate.cpp +++ b/modules/photo/src/calibrate.cpp @@ -55,8 +55,7 @@ public: samples(samples), lambda(lambda), name("CalibrateDebevec"), - w(tringleWeights()), - test(false) + w(tringleWeights()) { } @@ -84,9 +83,6 @@ public: for(int i = 0; i < samples; i++) { int pos = 3 * (rand() % images[0].total()) + channel; - if(test) { - pos = 3 * i + channel; - } for(size_t j = 0; j < images.size(); j++) { int val = (images[j].ptr() + pos)[0]; @@ -113,9 +109,6 @@ public: exp(result, result); } - bool getTest() const { return test; } - void setTest(bool val) { test = val; } - int getSamples() const { return samples; } void setSamples(int val) { samples = val; } @@ -141,7 +134,6 @@ protected: String name; int samples; float lambda; - bool test; Mat w; }; diff --git a/modules/photo/src/hdr_common.cpp b/modules/photo/src/hdr_common.cpp index 80bd87f39..4a0b3203b 100644 --- a/modules/photo/src/hdr_common.cpp +++ b/modules/photo/src/hdr_common.cpp @@ -92,4 +92,21 @@ void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation) merge(channels, dst); } +Mat linearResponse(int channels) +{ + Mat single_response = Mat(256, 1, CV_32F); + for(int i = 1; i < 256; i++) { + single_response.at(i) = static_cast(i); + } + single_response.at(0) = static_cast(1); + + std::vector splitted(channels); + for(int c = 0; c < channels; c++) { + splitted[c] = single_response; + } + Mat result; + merge(splitted, result); + return result; +} + }; diff --git a/modules/photo/src/hdr_common.hpp b/modules/photo/src/hdr_common.hpp index 191ac6391..b00227f90 100644 --- a/modules/photo/src/hdr_common.hpp +++ b/modules/photo/src/hdr_common.hpp @@ -56,6 +56,7 @@ void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation); Mat RobertsonWeights(); +Mat linearResponse(int channels); }; #endif diff --git a/modules/photo/src/merge.cpp b/modules/photo/src/merge.cpp index 2cf06c1f3..0ee351858 100644 --- a/modules/photo/src/merge.cpp +++ b/modules/photo/src/merge.cpp @@ -125,23 +125,6 @@ public: protected: String name; Mat weights; - - Mat linearResponse(int channels) - { - Mat single_response = Mat(256, 1, CV_32F); - for(int i = 1; i < 256; i++) { - single_response.at(i) = static_cast(i); - } - single_response.at(0) = static_cast(1); - - std::vector splitted(channels); - for(int c = 0; c < channels; c++) { - splitted[c] = single_response; - } - Mat result; - merge(splitted, result); - return result; - } }; Ptr createMergeDebevec() @@ -329,7 +312,7 @@ public: Mat response = input_response.getMat(); if(response.empty()) { - response = linearResponse(channels); + response = linearResponse(channels) / 128.0f; } CV_Assert(response.rows == 256 && response.cols == 1 && response.channels() == channels); @@ -355,17 +338,6 @@ public: protected: String name; Mat weight; - - Mat linearResponse(int channels) - { - Mat response = Mat::zeros(256, 1, CV_32FC3); - for(int i = 0; i < 256; i++) { - for(int c = 0; c < 3; c++) { - response.at(i)[c] = static_cast(i) / 128.0f; - } - } - return response; - } }; Ptr createMergeRobertson() diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index b0a7e4938..a3d69900b 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -79,11 +79,11 @@ void loadExposureSeq(String path, vector& images, vector& times = DE void loadResponseCSV(String path, Mat& response) { response = Mat(256, 1, CV_32FC3); - ifstream resp_file(path.c_str()); + ifstream resp_file(path); for(int i = 0; i < 256; i++) { for(int c = 0; c < 3; c++) { resp_file >> response.at(i)[c]; - resp_file.ignore(1); + resp_file.ignore(1); } } resp_file.close(); @@ -101,31 +101,31 @@ TEST(Photo_Tonemap, regression) linear->process(img, result); loadImage(test_path + "linear.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); Ptr drago = createTonemapDrago(gamma); drago->process(img, result); loadImage(test_path + "drago.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); Ptr durand = createTonemapDurand(gamma); durand->process(img, result); loadImage(test_path + "durand.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); Ptr reinhard_devlin = createTonemapReinhardDevlin(gamma); reinhard_devlin->process(img, result); loadImage(test_path + "reinharddevlin.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); Ptr mantiuk = createTonemapMantiuk(gamma); mantiuk->process(img, result); loadImage(test_path + "mantiuk.png", expected); result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 0); + checkEqual(result, expected, 3); } TEST(Photo_AlignMTB, regression) @@ -169,7 +169,7 @@ TEST(Photo_MergeMertens, regression) loadImage(test_path + "merge/mertens.png", expected); merge->process(images, result); result.convertTo(result, CV_8UC3, 255); - checkEqual(expected, result, 0); + checkEqual(expected, result, 3); } TEST(Photo_MergeDebevec, regression) @@ -188,7 +188,7 @@ TEST(Photo_MergeDebevec, regression) loadImage(test_path + "merge/debevec.exr", expected); merge->process(images, result, times, response); imwrite("test.exr", result); - checkEqual(expected, result, 1e-3f); + checkEqual(expected, result, 1e-2f); } TEST(Photo_CalibrateDebevec, regression) @@ -197,11 +197,11 @@ TEST(Photo_CalibrateDebevec, regression) vector images; vector times; - Mat expected, response; + Mat response, expected; loadExposureSeq(test_path + "exposures/", images, times); - loadResponseCSV(test_path + "calibrate/debevec.csv", expected); + loadResponseCSV(test_path + "calibrate/debevec.csv", expected); Ptr calibrate = createCalibrateDebevec(); - calibrate->setTest(true); + srand(1); calibrate->process(images, response, times); - checkEqual(expected, response, 1e-3f); + checkEqual(expected, response, 1e-3f); } From 924f7ce3739d2ba6f7db8428bf34331cf09ca259 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Tue, 3 Sep 2013 14:05:14 +0400 Subject: [PATCH 34/55] small changes for compilation --- modules/photo/test/test_hdr.cpp | 2 +- modules/python/src2/cv2.cpp | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index a3d69900b..8494e81ac 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -79,7 +79,7 @@ void loadExposureSeq(String path, vector& images, vector& times = DE void loadResponseCSV(String path, Mat& response) { response = Mat(256, 1, CV_32FC3); - ifstream resp_file(path); + ifstream resp_file(path.c_str()); for(int i = 0; i < 256; i++) { for(int c = 0; c < 3; c++) { resp_file >> response.at(i)[c]; diff --git a/modules/python/src2/cv2.cpp b/modules/python/src2/cv2.cpp index ec13c8eac..8a231ef5a 100644 --- a/modules/python/src2/cv2.cpp +++ b/modules/python/src2/cv2.cpp @@ -138,6 +138,7 @@ typedef Ptr Ptr_TonemapDurand; typedef Ptr Ptr_TonemapMantiuk; typedef Ptr Ptr_AlignMTB; typedef Ptr Ptr_CalibrateDebevec; +typedef Ptr Ptr_CalibrateRobertson; typedef Ptr Ptr_MergeDebevec; typedef Ptr Ptr_MergeMertens; From e354fa3fd1078e3e4400df9c20c707a808bea3f4 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Tue, 3 Sep 2013 14:24:14 +0400 Subject: [PATCH 35/55] fixed test data in highgui test for HDR --- modules/highgui/test/test_grfmt.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/highgui/test/test_grfmt.cpp b/modules/highgui/test/test_grfmt.cpp index f10d20e01..6fa7af831 100644 --- a/modules/highgui/test/test_grfmt.cpp +++ b/modules/highgui/test/test_grfmt.cpp @@ -409,7 +409,7 @@ TEST(Highgui_WebP, encode_decode_lossy_webp) TEST(Highgui_Hdr, regression) { - string folder = string(cvtest::TS::ptr()->get_data_path()) + "../cv/hdr/format/"; + string folder = string(cvtest::TS::ptr()->get_data_path()) + "/readwrite/"; string name_rle = folder + "rle.hdr"; string name_no_rle = folder + "no_rle.hdr"; Mat img_rle = imread(name_rle, -1); From 359771fdac44c9f93b054517d2d45cb730cc170b Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Tue, 3 Sep 2013 17:07:49 +0400 Subject: [PATCH 36/55] small fixes in the tutorial --- .../photo/table_of_content_photo/table_of_content_photo.rst | 2 +- doc/tutorials/tutorials.rst | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/doc/tutorials/photo/table_of_content_photo/table_of_content_photo.rst b/doc/tutorials/photo/table_of_content_photo/table_of_content_photo.rst index d285e464f..bacb1dba0 100644 --- a/doc/tutorials/photo/table_of_content_photo/table_of_content_photo.rst +++ b/doc/tutorials/photo/table_of_content_photo/table_of_content_photo.rst @@ -14,7 +14,7 @@ Use OpenCV for advanced photo processing. ============ ============================================== |HDR| **Title:** :ref:`hdrimaging` - *Compatibility:* TBA + *Compatibility:* > OpenCV 3.0 *Author:* Fedor Morozov diff --git a/doc/tutorials/tutorials.rst b/doc/tutorials/tutorials.rst index 1e04509f4..c57166b0e 100644 --- a/doc/tutorials/tutorials.rst +++ b/doc/tutorials/tutorials.rst @@ -233,6 +233,7 @@ As always, we would be happy to hear your comments and receive your contribution video/table_of_content_video/table_of_content_video objdetect/table_of_content_objdetect/table_of_content_objdetect ml/table_of_content_ml/table_of_content_ml + photo/table_of_content_photo/table_of_content_photo 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zwB*JjGJ}mIg>x7K?-8l_DKl+xIA{>8aDqdBk)u{JLN|*40262u*@i*vpdOPn)NYjU zjhOWQMlll_#(Y#n{TH2PV#IV)$WD@$H&+Ep9MdQA*#gkQg3U?!TGT2f+X6~Z8Y#Yp zFp}BYO$HMK9uh?#I(VHODd*-fFJo~YuH^O1tWa{jO+y~9{UoJMw?S5uq8pE%hUHU| ztIKuTJuouk;z38RZsfiY*jxKG9j=;E43_vGAw&{oBO(GcbM1ep$dSIL9FSMj)G?07 zVhay_nXdW88}=CyF;75>=8`|&bIOjbK5<-t8IeE>WZ&Bl))eJq-7EfLMXjT|X z7-9;lj&pw{N|czKQgZO68ylb|+QqX?6K%gED~`&WTzD605%0xCR!EW!guC_+atCN+ T`dJb&5cttl)5R94S_l0P^gKP` diff --git a/doc/tutorials/photo/hdr_imaging/hdr_imaging.rst b/doc/tutorials/photo/hdr_imaging/hdr_imaging.rst index ed273fb54..f39f871db 100644 --- a/doc/tutorials/photo/hdr_imaging/hdr_imaging.rst +++ b/doc/tutorials/photo/hdr_imaging/hdr_imaging.rst @@ -5,11 +5,11 @@ High Dynamic Range Imaging Introduction ------------------ -Today most digital images and imaging devices use three bytes per channel thus limiting the dynamic range of the device to two orders of magnitude, while human eye can adapt to lighting conditions varying by ten orders of magnitude. When we take photographs bright regions may be overexposed and dark ones may be on the other hand underexposed so we can't capture the whole scene in a single exposure. HDR imaging works with images that use more that 8 bits per channel (usually 32-bit float values), allowing any dynamic range. +Today most digital images and imaging devices use 8 bits per channel thus limiting the dynamic range of the device to two orders of magnitude (actually 256 levels), while human eye can adapt to lighting conditions varying by ten orders of magnitude. When we take photographs of a real world scene bright regions may be overexposed, while the dark ones may be underexposed, so we can’t capture all details using a single exposure. HDR imaging works with images that use more that 8 bits per channel (usually 32-bit float values), allowing much wider dynamic range. -There are different ways to obtain HDR images but the most common one is to use photographs of the scene taken with different exposure values. To combine the exposures it is useful to know your camera's response function and there are algorithms to estimate it. After the HDR image has been constructed it has to be converted back to 8-bit to view it on regular displays. This process is called tonemapping. Additional complexities arise when objects of the scene or camera move between shots. +There are different ways to obtain HDR images, but the most common one is to use photographs of the scene taken with different exposure values. To combine this exposures it is useful to know your camera’s response function and there are algorithms to estimate it. After the HDR image has been blended it has to be converted back to 8-bit to view it on usual displays. This process is called tonemapping. Additional complexities arise when objects of the scene or camera move between shots, since images with different exposures should be registered and aligned. -In this tutorial we show how to make and display HDR image provided we have exposure sequence. In our case images are already aligned and there are no moving objects. We also demonstrate an alternative approach called exposure fusion that produces low dynamic range image. Each step of this pipeline can be made using different algorithms so take a look at the reference manual to find them all. +In this tutorial we show how to generate and display HDR image from an exposure sequence. In our case images are already aligned and there are no moving objects. We also demonstrate an alternative approach called exposure fusion that produces low dynamic range image. Each step of HDR pipeline can be implemented using different algorithms so take a look at the reference manual to see them all. Exposure sequence ------------------ @@ -39,9 +39,9 @@ Explanation vector times; loadExposureSeq(argv[1], images, times); - First we load input images and exposure times from user-defined destination. The folder should contain images and *list.txt* - file that contains file names and inverse exposure times. + Firstly we load input images and exposure times from user-defined folder. The folder should contain images and *list.txt* - file that contains file names and inverse exposure times. - For our image sequence the list looks like this: + For our image sequence the list is following: .. code-block:: none @@ -58,9 +58,7 @@ Explanation Ptr calibrate = createCalibrateDebevec(); calibrate->process(images, response, times); - It is necessary to know camera response function for most HDR construction algorithms. - - We use one of calibration algorithms to estimate inverse CRF for all 256 pixel values. + It is necessary to know camera response function (CRF) for a lot of HDR construction algorithms. We use one of the calibration algorithms to estimate inverse CRF for all 256 pixel values. 3. **Make HDR image** @@ -80,9 +78,7 @@ Explanation Ptr tonemap = createTonemapDurand(2.2f); tonemap->process(hdr, ldr); - Since we want to see our results on common LDR display we have to map our HDR image to 8-bit range preserving most details. - - That is what tonemapping algorithms are for. We use bilateral filtering tonemapper and set 2.2 as value for gamma correction. + Since we want to see our results on common LDR display we have to map our HDR image to 8-bit range preserving most details. It is the main goal of tonemapping methods. We use tonemapper with bilateral filtering and set 2.2 as the value for gamma correction. 5. **Perform exposure fusion** @@ -92,9 +88,7 @@ Explanation Ptr merge_mertens = createMergeMertens(); merge_mertens->process(images, fusion); - There is an alternative way to merge our exposures in case we don't need HDR image. - - This process is called exposure fusion and produces LDR image that doesn't require gamma correction. It also doesn't use exposure values of the photographs. + There is an alternative way to merge our exposures in case when we don't need HDR image. This process is called exposure fusion and produces LDR image that doesn't require gamma correction. It also doesn't use exposure values of the photographs. 6. **Write results** @@ -104,11 +98,7 @@ Explanation imwrite("ldr.png", ldr * 255); imwrite("hdr.hdr", hdr); - Now it's time to view the results. - - Note that HDR image can't be stored in one of common image formats, so we save it as Radiance image (.hdr). - - Also all HDR imaging functions return results in [0, 1] range so we multiply them by 255. + Now it's time to look at the results. Note that HDR image can't be stored in one of common image formats, so we save it to Radiance image (.hdr). Also all HDR imaging functions return results in [0, 1] range so we should multiply result by 255. Results ======= From 0f703b816220748f055eea77f4ee1386e421f345 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Thu, 5 Sep 2013 14:10:53 +0400 Subject: [PATCH 38/55] Calibrate Debevec changes --- modules/photo/include/opencv2/photo.hpp | 5 ++- modules/photo/src/calibrate.cpp | 45 ++++++++++++++++++++----- modules/photo/test/test_hdr.cpp | 3 +- 3 files changed, 41 insertions(+), 12 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index ca9adb7d0..70d472e86 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -210,9 +210,12 @@ public: CV_WRAP virtual int getSamples() const = 0; CV_WRAP virtual void setSamples(int samples) = 0; + + CV_WRAP virtual bool getRandom() const = 0; + CV_WRAP virtual void setRandom(bool random) = 0; }; -CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f); +CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 70, float lambda = 10.0f, bool random = false); // "Dynamic range improvement through multiple exposures", Robertson et al., 1999 diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp index 95951a48d..4701d4ae4 100644 --- a/modules/photo/src/calibrate.cpp +++ b/modules/photo/src/calibrate.cpp @@ -43,7 +43,9 @@ #include "precomp.hpp" #include "opencv2/photo.hpp" #include "opencv2/imgproc.hpp" +//#include "opencv2/highgui.hpp" #include "hdr_common.hpp" +#include namespace cv { @@ -51,11 +53,12 @@ namespace cv class CalibrateDebevecImpl : public CalibrateDebevec { public: - CalibrateDebevecImpl(int samples, float lambda) : + CalibrateDebevecImpl(int samples, float lambda, bool random) : samples(samples), lambda(lambda), name("CalibrateDebevec"), - w(tringleWeights()) + w(tringleWeights()), + random(random) { } @@ -74,18 +77,35 @@ public: dst.create(256, 1, CV_32FCC); Mat result = dst.getMat(); + std::vector sample_points; + if(random) { + for(int i = 0; i < samples; i++) { + sample_points.push_back(Point(rand() % images[0].cols, rand() % images[0].rows)); + } + } else { + int x_points = sqrt(static_cast(samples) * images[0].cols / images[0].rows); + int y_points = samples / x_points; + int step_x = images[0].cols / x_points; + int step_y = images[0].rows / y_points; + + for(int i = 0, x = step_x / 2; i < x_points; i++, x += step_x) { + for(int j = 0, y = step_y; j < y_points; j++, y += step_y) { + sample_points.push_back(Point(x, y)); + } + } + } + std::vector result_split(channels); for(int channel = 0; channel < channels; channel++) { - Mat A = Mat::zeros(samples * images.size() + 257, 256 + samples, CV_32F); + Mat A = Mat::zeros(sample_points.size() * images.size() + 257, 256 + sample_points.size(), CV_32F); Mat B = Mat::zeros(A.rows, 1, CV_32F); int eq = 0; - for(int i = 0; i < samples; i++) { + for(size_t i = 0; i < sample_points.size(); i++) { - int pos = 3 * (rand() % images[0].total()) + channel; for(size_t j = 0; j < images.size(); j++) { - int val = (images[j].ptr() + pos)[0]; + int val = images[j].ptr()[3*(sample_points[i].y * images[j].cols + sample_points[j].x) + channel]; A.at(eq, val) = w.at(val); A.at(eq, 256 + i) = -w.at(val); B.at(eq, 0) = w.at(val) * log(times[j]); @@ -115,11 +135,15 @@ public: float getLambda() const { return lambda; } void setLambda(float val) { lambda = val; } + bool getRandom() const { return random; } + void setRandom(bool val) { random = val; } + void write(FileStorage& fs) const { fs << "name" << name << "samples" << samples - << "lambda" << lambda; + << "lambda" << lambda + << "random" << static_cast(random); } void read(const FileNode& fn) @@ -128,18 +152,21 @@ public: CV_Assert(n.isString() && String(n) == name); samples = fn["samples"]; lambda = fn["lambda"]; + int random_val = fn["random"]; + random = static_cast(random_val); } protected: String name; int samples; float lambda; + bool random; Mat w; }; -Ptr createCalibrateDebevec(int samples, float lambda) +Ptr createCalibrateDebevec(int samples, float lambda, bool random) { - return new CalibrateDebevecImpl(samples, lambda); + return new CalibrateDebevecImpl(samples, lambda, random); } class CalibrateRobertsonImpl : public CalibrateRobertson diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index a3d69900b..efc3774fa 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -1,4 +1,4 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// + /*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // @@ -201,7 +201,6 @@ TEST(Photo_CalibrateDebevec, regression) loadExposureSeq(test_path + "exposures/", images, times); loadResponseCSV(test_path + "calibrate/debevec.csv", expected); Ptr calibrate = createCalibrateDebevec(); - srand(1); calibrate->process(images, response, times); checkEqual(expected, response, 1e-3f); } From cb27740de48a89befb124e805440661c82940299 Mon Sep 17 00:00:00 2001 From: fm Date: Thu, 5 Sep 2013 14:26:21 +0400 Subject: [PATCH 39/55] Linux compilation --- modules/photo/test/test_hdr.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index efc3774fa..569f3a300 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -79,7 +79,7 @@ void loadExposureSeq(String path, vector& images, vector& times = DE void loadResponseCSV(String path, Mat& response) { response = Mat(256, 1, CV_32FC3); - ifstream resp_file(path); + ifstream resp_file(path.c_str()); for(int i = 0; i < 256; i++) { for(int c = 0; c < 3; c++) { resp_file >> response.at(i)[c]; From 85eb52b8af54c199d890ab075a67d8741ff4fab6 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Thu, 5 Sep 2013 14:41:35 +0400 Subject: [PATCH 40/55] Debevec Calibrate --- modules/photo/test/test_hdr.cpp | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index efc3774fa..af8531705 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -202,5 +202,9 @@ TEST(Photo_CalibrateDebevec, regression) loadResponseCSV(test_path + "calibrate/debevec.csv", expected); Ptr calibrate = createCalibrateDebevec(); calibrate->process(images, response, times); - checkEqual(expected, response, 1e-3f); + Mat diff = abs(response - expected); + diff = diff.mul(1.0f / response); + double max; + minMaxLoc(diff, NULL, &max); + ASSERT_FALSE(max > 0.1); } From f4792f8a44e50023ec020f9ec65397c34f2a37b0 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 6 Sep 2013 14:43:04 +0400 Subject: [PATCH 41/55] Doc update --- modules/photo/doc/hdr_imaging.rst | 20 ++++++++++++++++++-- 1 file changed, 18 insertions(+), 2 deletions(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index b8090013d..f07d9ae94 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -192,16 +192,30 @@ Helper function, that shift Mat filling new regions with zeros. :param dst: result image :param shift: shift value + +AlignMTB::computeBitmaps +--------------------------- +Computes median threshold and exclude bitmaps of given image. +.. ocv:function:: void computeBitmaps(Mat& img, Mat& tb, Mat& eb) + + :param img: input image + + :param tb: median threshold bitmap + + :param eb: exclude bitmap + createAlignMTB --------------------------- Creates AlignMTB object -.. ocv:function:: Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4) +.. ocv:function:: Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4, bool cut = true) :param max_bits: logarithm to the base 2 of maximal shift in each dimension. Values of 5 and 6 are usually good enough (31 and 63 pixels shift respectively). :param exclude_range: range for exclusion bitmap that is constructed to suppress noise around the median value. + + :param cut: if true cuts images, otherwise fills the new regions with zeros. ExposureCalibrate --------------------------- @@ -234,11 +248,13 @@ createCalibrateDebevec --------------------------- Creates CalibrateDebevec object -.. ocv:function:: Ptr createCalibrateDebevec(int samples = 50, float lambda = 10.0f) +.. ocv:function:: createCalibrateDebevec(int samples = 70, float lambda = 10.0f, bool random = false) :param samples: number of pixel locations to use :param lambda: smoothness term weight. Greater values produce smoother results, but can alter the response. + + :param random: if true sample pixel locations are chosen at random, otherwise the form a rectangular grid. ExposureMerge --------------------------- From deeaddb0a919254327f54a2fd819ef39049058a8 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 6 Sep 2013 14:49:19 +0400 Subject: [PATCH 42/55] Doc update --- modules/photo/doc/hdr_imaging.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index f07d9ae94..56b74a63e 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -280,7 +280,7 @@ MergeDebevec --------------------------- .. ocv:class:: MergeDebevec : public ExposureMerge -The resulting HDR image is calculated as weighted average of he exposures considering exposure values and camera response. +The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response. For more information see [DM97]_. From c118f3c529642ed7c87c07722af175fadda22838 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 6 Sep 2013 17:30:43 +0400 Subject: [PATCH 43/55] Robertson update --- modules/photo/include/opencv2/photo.hpp | 6 +- modules/photo/src/align.cpp | 14 +++-- modules/photo/src/calibrate.cpp | 74 ++++++++++--------------- modules/photo/src/hdr_common.cpp | 35 +++++------- modules/photo/src/merge.cpp | 8 +-- modules/photo/test/test_hdr.cpp | 32 ++++++++++- 6 files changed, 92 insertions(+), 77 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index 70d472e86..ca3975f12 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -80,6 +80,8 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21); +enum { LDR_SIZE = 256 }; + class CV_EXPORTS_W Tonemap : public Algorithm { public: @@ -227,9 +229,11 @@ public: CV_WRAP virtual float getThreshold() const = 0; CV_WRAP virtual void setThreshold(float threshold) = 0; + + CV_WRAP virtual Mat getRadiance() const = 0; }; -CV_EXPORTS_W Ptr createCalibrateRobertson(int samples = 50, float lambda = 10.0f); +CV_EXPORTS_W Ptr createCalibrateRobertson(int max_iter = 30, float threshold = 0.01f); class CV_EXPORTS_W ExposureMerge : public Algorithm { diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 7eb9c6f09..295fea350 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -243,14 +243,14 @@ protected: { int channels = 0; Mat hist; - int hist_size = 256; - float range[] = {0, 256} ; + int hist_size = LDR_SIZE; + float range[] = {0, LDR_SIZE} ; const float* ranges[] = {range}; calcHist(&img, 1, &channels, Mat(), hist, 1, &hist_size, ranges); float *ptr = hist.ptr(); int median = 0, sum = 0; int thresh = img.total() / 2; - while(sum < thresh && median < 256) { + while(sum < thresh && median < LDR_SIZE) { sum += static_cast(ptr[median]); median++; } @@ -309,7 +309,7 @@ public: std::vector splitted(channels); split(images[0], splitted); - for(int i = 0; i < images.size() - 1; i++) { + for(size_t i = 0; i < images.size() - 1; i++) { std::vector next_splitted(channels); split(images[i + 1], next_splitted); @@ -399,7 +399,7 @@ public: split(radiance, splitted); std::vector resp_split(channels); split(response, resp_split); - for(int i = 0; i < images.size() - 1; i++) { + for(size_t i = 0; i < images.size() - 1; i++) { std::vector next_splitted(channels); LUT(images[i + 1], response, radiance); @@ -430,7 +430,9 @@ public: virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) { - process(src, dst, times, linearResponse(3)); + Mat response = linearResponse(3); + response.at(0) = response.at(1); + process(src, dst, times, response); } CV_WRAP virtual int getThreshold() {return thresh;} diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp index 4701d4ae4..0b08a501b 100644 --- a/modules/photo/src/calibrate.cpp +++ b/modules/photo/src/calibrate.cpp @@ -45,7 +45,6 @@ #include "opencv2/imgproc.hpp" //#include "opencv2/highgui.hpp" #include "hdr_common.hpp" -#include namespace cv { @@ -74,7 +73,7 @@ public: int channels = images[0].channels(); int CV_32FCC = CV_MAKETYPE(CV_32F, channels); - dst.create(256, 1, CV_32FCC); + dst.create(LDR_SIZE, 1, CV_32FCC); Mat result = dst.getMat(); std::vector sample_points; @@ -97,7 +96,7 @@ public: std::vector result_split(channels); for(int channel = 0; channel < channels; channel++) { - Mat A = Mat::zeros(sample_points.size() * images.size() + 257, 256 + sample_points.size(), CV_32F); + Mat A = Mat::zeros(sample_points.size() * images.size() + LDR_SIZE + 1, LDR_SIZE + sample_points.size(), CV_32F); Mat B = Mat::zeros(A.rows, 1, CV_32F); int eq = 0; @@ -107,12 +106,12 @@ public: int val = images[j].ptr()[3*(sample_points[i].y * images[j].cols + sample_points[j].x) + channel]; A.at(eq, val) = w.at(val); - A.at(eq, 256 + i) = -w.at(val); + A.at(eq, LDR_SIZE + i) = -w.at(val); B.at(eq, 0) = w.at(val) * log(times[j]); eq++; } } - A.at(eq, 128) = 1; + A.at(eq, LDR_SIZE / 2) = 1; eq++; for(int i = 0; i < 254; i++) { @@ -123,7 +122,7 @@ public: } Mat solution; solve(A, B, solution, DECOMP_SVD); - solution.rowRange(0, 256).copyTo(result_split[channel]); + solution.rowRange(0, LDR_SIZE).copyTo(result_split[channel]); } merge(result_split, result); exp(result, result); @@ -192,20 +191,14 @@ public: int channels = images[0].channels(); int CV_32FCC = CV_MAKETYPE(CV_32F, channels); - dst.create(256, 1, CV_32FCC); + dst.create(LDR_SIZE, 1, CV_32FCC); Mat response = dst.getMat(); - - response = Mat::zeros(256, 1, CV_32FCC); - for(int i = 0; i < 256; i++) { - for(int c = 0; c < channels; c++) { - response.at(i)[c] = i / 128.0; - } - } + response = linearResponse(3) / (LDR_SIZE / 2.0f); - Mat card = Mat::zeros(256, 1, CV_32FCC); - for(int i = 0; i < images.size(); i++) { + Mat card = Mat::zeros(LDR_SIZE, 1, CV_32FCC); + for(size_t i = 0; i < images.size(); i++) { uchar *ptr = images[i].ptr(); - for(int pos = 0; pos < images[i].total(); pos++) { + for(size_t pos = 0; pos < images[i].total(); pos++) { for(int c = 0; c < channels; c++, ptr++) { card.at(*ptr)[c] += 1; } @@ -213,43 +206,34 @@ public: } card = 1.0 / card; + Ptr merge = createMergeRobertson(); for(int iter = 0; iter < max_iter; iter++) { - Scalar channel_err(0, 0, 0); - Mat radiance = Mat::zeros(images[0].size(), CV_32FCC); - Mat wsum = Mat::zeros(images[0].size(), CV_32FCC); - for(int i = 0; i < images.size(); i++) { - Mat im, w; - LUT(images[i], weight, w); - LUT(images[i], response, im); + radiance = Mat::zeros(images[0].size(), CV_32FCC); + merge->process(images, radiance, times, response); - Mat err_mat; - pow(im - times[i] * radiance, 2.0f, err_mat); - err_mat = w.mul(err_mat); - channel_err += sum(err_mat); - - radiance += times[i] * w.mul(im); - wsum += pow(times[i], 2) * w; - } - float err = (channel_err[0] + channel_err[1] + channel_err[2]) / (channels * radiance.total()); - radiance = radiance.mul(1 / wsum); - - float* rad_ptr = radiance.ptr(); - response = Mat::zeros(256, 1, CV_32FC3); - for(int i = 0; i < images.size(); i++) { + Mat new_response = Mat::zeros(LDR_SIZE, 1, CV_32FC3); + for(size_t i = 0; i < images.size(); i++) { uchar *ptr = images[i].ptr(); - for(int pos = 0; pos < images[i].total(); pos++) { + float* rad_ptr = radiance.ptr(); + for(size_t pos = 0; pos < images[i].total(); pos++) { for(int c = 0; c < channels; c++, ptr++, rad_ptr++) { - response.at(*ptr)[c] += times[i] * *rad_ptr; + new_response.at(*ptr)[c] += times[i] * *rad_ptr; } } } - response = response.mul(card); + new_response = new_response.mul(card); for(int c = 0; c < 3; c++) { - for(int i = 0; i < 256; i++) { - response.at(i)[c] /= response.at(128)[c]; + float middle = new_response.at(LDR_SIZE / 2)[c]; + for(int i = 0; i < LDR_SIZE; i++) { + new_response.at(i)[c] /= middle; } } + float diff = sum(sum(abs(new_response - response)))[0] / channels; + new_response.copyTo(response); + if(diff < threshold) { + break; + } } } @@ -259,6 +243,8 @@ public: float getThreshold() const { return threshold; } void setThreshold(float val) { threshold = val; } + Mat getRadiance() const { return radiance; } + void write(FileStorage& fs) const { fs << "name" << name @@ -278,7 +264,7 @@ protected: String name; int max_iter; float threshold; - Mat weight; + Mat weight, radiance; }; Ptr createCalibrateRobertson(int max_iter, float threshold) diff --git a/modules/photo/src/hdr_common.cpp b/modules/photo/src/hdr_common.cpp index 4a0b3203b..27512587b 100644 --- a/modules/photo/src/hdr_common.cpp +++ b/modules/photo/src/hdr_common.cpp @@ -61,21 +61,22 @@ void checkImageDimensions(const std::vector& images) Mat tringleWeights() { - Mat w(256, 1, CV_32F); - for(int i = 0; i < 256; i++) { - w.at(i) = i < 128 ? i + 1.0f : 256.0f - i; + Mat w(LDR_SIZE, 1, CV_32F); + int half = LDR_SIZE / 2; + for(int i = 0; i < LDR_SIZE; i++) { + w.at(i) = i < half ? i + 1.0f : LDR_SIZE - i; } return w; } Mat RobertsonWeights() { - Mat weight(256, 1, CV_32FC3); - for(int i = 0; i < 256; i++) { - float value = exp(-4.0f * pow(i - 127.5f, 2.0f) / pow(127.5f, 2.0f)); - for(int c = 0; c < 3; c++) { - weight.at(i)[c] = value; - } + Mat weight(LDR_SIZE, 1, CV_32FC3); + float q = (LDR_SIZE - 1) / 4.0f; + for(int i = 0; i < LDR_SIZE; i++) { + float value = i / q - 2.0f; + value = exp(-value * value); + weight.at(i) = Vec3f::all(value); } return weight; } @@ -94,19 +95,11 @@ void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation) Mat linearResponse(int channels) { - Mat single_response = Mat(256, 1, CV_32F); - for(int i = 1; i < 256; i++) { - single_response.at(i) = static_cast(i); + Mat response = Mat(LDR_SIZE, 1, CV_MAKETYPE(CV_32F, channels)); + for(int i = 0; i < LDR_SIZE; i++) { + response.at(i) = Vec3f::all(i); } - single_response.at(0) = static_cast(1); - - std::vector splitted(channels); - for(int c = 0; c < channels; c++) { - splitted[c] = single_response; - } - Mat result; - merge(splitted, result); - return result; + return response; } }; diff --git a/modules/photo/src/merge.cpp b/modules/photo/src/merge.cpp index 0ee351858..c2470217c 100644 --- a/modules/photo/src/merge.cpp +++ b/modules/photo/src/merge.cpp @@ -43,7 +43,6 @@ #include "opencv2/photo.hpp" #include "opencv2/imgproc.hpp" #include "hdr_common.hpp" -#include namespace cv { @@ -77,9 +76,10 @@ public: if(response.empty()) { response = linearResponse(channels); + response.at(0) = response.at(1); } log(response, response); - CV_Assert(response.rows == 256 && response.cols == 1 && + CV_Assert(response.rows == LDR_SIZE && response.cols == 1 && response.channels() == channels); Mat exp_values(times); @@ -312,9 +312,9 @@ public: Mat response = input_response.getMat(); if(response.empty()) { - response = linearResponse(channels) / 128.0f; + response = linearResponse(channels) / (LDR_SIZE / 2.0f); } - CV_Assert(response.rows == 256 && response.cols == 1 && + CV_Assert(response.rows == LDR_SIZE && response.cols == 1 && response.channels() == channels); result = Mat::zeros(images[0].size(), CV_32FCC); diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index c4c376fe9..a86f11977 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -187,7 +187,22 @@ TEST(Photo_MergeDebevec, regression) Mat result, expected; loadImage(test_path + "merge/debevec.exr", expected); merge->process(images, result, times, response); - imwrite("test.exr", result); + checkEqual(expected, result, 1e-2f); +} + +TEST(Photo_MergeRobertson, regression) +{ + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + + vector images; + vector times; + loadExposureSeq(test_path + "exposures/", images, times); + + Ptr merge = createMergeRobertson(); + + Mat result, expected; + loadImage(test_path + "merge/robertson.exr", expected); + merge->process(images, result, times); checkEqual(expected, result, 1e-2f); } @@ -208,3 +223,18 @@ TEST(Photo_CalibrateDebevec, regression) minMaxLoc(diff, NULL, &max); ASSERT_FALSE(max > 0.1); } + +TEST(Photo_CalibrateRobertson, regression) +{ + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + + vector images; + vector times; + Mat response, expected; + loadExposureSeq(test_path + "exposures/", images, times); + loadResponseCSV(test_path + "calibrate/robertson.csv", expected); + + Ptr calibrate = createCalibrateRobertson(); + calibrate->process(images, response, times); + checkEqual(expected, response, 1e-3f); +} \ No newline at end of file From a7bcf63765995676a7bb999df49a3001ec245fb9 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Fri, 6 Sep 2013 18:21:59 +0400 Subject: [PATCH 44/55] Robertson docs --- modules/photo/doc/hdr_imaging.rst | 46 +++++++++++++++++++++++++++---- 1 file changed, 40 insertions(+), 6 deletions(-) diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index 56b74a63e..042f88833 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -204,7 +204,7 @@ Computes median threshold and exclude bitmaps of given image. :param tb: median threshold bitmap :param eb: exclude bitmap - + createAlignMTB --------------------------- Creates AlignMTB object @@ -214,8 +214,8 @@ Creates AlignMTB object :param max_bits: logarithm to the base 2 of maximal shift in each dimension. Values of 5 and 6 are usually good enough (31 and 63 pixels shift respectively). :param exclude_range: range for exclusion bitmap that is constructed to suppress noise around the median value. - - :param cut: if true cuts images, otherwise fills the new regions with zeros. + + :param cut: if true cuts images, otherwise fills the new regions with zeros. ExposureCalibrate --------------------------- @@ -253,8 +253,27 @@ Creates CalibrateDebevec object :param samples: number of pixel locations to use :param lambda: smoothness term weight. Greater values produce smoother results, but can alter the response. - - :param random: if true sample pixel locations are chosen at random, otherwise the form a rectangular grid. + + :param random: if true sample pixel locations are chosen at random, otherwise the form a rectangular grid. + +CalibrateRobertson +--------------------------- +.. ocv:class:: CalibrateRobertson : public ExposureCalibrate + +Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. +This algorithm uses all image pixels. + +For more information see [RB99]_. + +createCalibrateRobertson +--------------------------- +Creates CalibrateRobertson object + +.. ocv:function:: createCalibrateRobertson(int max_iter = 30, float threshold = 0.01f) + + :param max_iter: maximal number of Gauss-Seidel solver iterations. + + :param threshold: target difference between results of two successive steps of the minimization. ExposureMerge --------------------------- @@ -312,7 +331,6 @@ Short version of process, that doesn't take extra arguments. :param dst: result image - createMergeMertens --------------------------- Creates MergeMertens object @@ -324,6 +342,20 @@ Creates MergeMertens object :param saturation_weight: saturation measure weight :param exposure_weight: well-exposedness measure weight + +MergeRobertson +--------------------------- +.. ocv:class:: MergeRobertson : public ExposureMerge + +The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response. + +For more information see [RB99]_. + +createMergeRobertson +--------------------------- +Creates MergeRobertson object + +.. ocv:function:: Ptr createMergeRobertson() References ========== @@ -343,3 +375,5 @@ References .. [DM97] P. Debevec, J. Malik, "Recovering High Dynamic Range Radiance Maps from Photographs", Proceedings OF ACM SIGGRAPH, 1997, 369 - 378. .. [MK07] T. Mertens, J. Kautz, F. Van Reeth, "Exposure Fusion", Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007, 382 - 390. + +.. [RB99] M. Robertson , S. Borman , R. Stevenson , "Dynamic range improvement through multiple exposures ", Proceedings of the Int. Conf. on Image Processing , 1999, 159 - 163. From f9ea3772b06ff24d9320fbdd16b925f363f2069e Mon Sep 17 00:00:00 2001 From: Adrian Stratulat Date: Sat, 14 Sep 2013 13:32:20 +0300 Subject: [PATCH 45/55] Add compile option for enabling NEON --- CMakeLists.txt | 1 + cmake/OpenCVCompilerOptions.cmake | 4 ++++ 2 files changed, 5 insertions(+) diff --git a/CMakeLists.txt b/CMakeLists.txt index c795ad3ff..bba0ad633 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -196,6 +196,7 @@ OCV_OPTION(ENABLE_SSSE3 "Enable SSSE3 instructions" OCV_OPTION(ENABLE_SSE41 "Enable SSE4.1 instructions" OFF IF ((CV_ICC OR CMAKE_COMPILER_IS_GNUCXX) AND (X86 OR X86_64)) ) OCV_OPTION(ENABLE_SSE42 "Enable SSE4.2 instructions" OFF IF (CMAKE_COMPILER_IS_GNUCXX AND (X86 OR X86_64)) ) OCV_OPTION(ENABLE_AVX "Enable AVX instructions" OFF IF ((MSVC OR CMAKE_COMPILER_IS_GNUCXX) AND (X86 OR X86_64)) ) +OCV_OPTION(ENABLE_NEON "Enable NEON instructions" OFF IF (CMAKE_COMPILER_IS_GNUCXX AND ARM) ) OCV_OPTION(ENABLE_NOISY_WARNINGS "Show all warnings even if they are too noisy" OFF ) OCV_OPTION(OPENCV_WARNINGS_ARE_ERRORS "Treat warnings as errors" OFF ) OCV_OPTION(ENABLE_WINRT_MODE "Build with Windows Runtime support" OFF IF WIN32 ) diff --git a/cmake/OpenCVCompilerOptions.cmake b/cmake/OpenCVCompilerOptions.cmake index bfca6a0bc..84924b385 100644 --- a/cmake/OpenCVCompilerOptions.cmake +++ b/cmake/OpenCVCompilerOptions.cmake @@ -161,6 +161,10 @@ if(CMAKE_COMPILER_IS_GNUCXX) endif() endif() + if(ENABLE_NEON) + add_extra_compiler_option(-mfpu=neon) + endif() + # Profiling? if(ENABLE_PROFILING) add_extra_compiler_option("-pg -g") From 76c6fa934894aa95d0eded78a413e7a4d63c72b1 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Tue, 17 Sep 2013 00:39:22 +0400 Subject: [PATCH 46/55] No EXR in tests --- modules/photo/test/test_hdr.cpp | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index a86f11977..f166746d9 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -185,8 +185,12 @@ TEST(Photo_MergeDebevec, regression) Ptr merge = createMergeDebevec(); Mat result, expected; - loadImage(test_path + "merge/debevec.exr", expected); + loadImage(test_path + "merge/debevec.hdr", expected); merge->process(images, result, times, response); + Ptr map = createTonemap(); + map->process(result, result); + map->process(expected, expected); + checkEqual(expected, result, 1e-2f); } @@ -203,6 +207,9 @@ TEST(Photo_MergeRobertson, regression) Mat result, expected; loadImage(test_path + "merge/robertson.exr", expected); merge->process(images, result, times); + Ptr map = createTonemap(); + map->process(result, result); + map->process(expected, expected); checkEqual(expected, result, 1e-2f); } From 89508bf7ab8886047292ce9ce393bf8d2f5b7dd0 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Tue, 17 Sep 2013 00:46:15 +0400 Subject: [PATCH 47/55] NO exr now --- modules/photo/test/test_hdr.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index f166746d9..3edc4b093 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -205,7 +205,7 @@ TEST(Photo_MergeRobertson, regression) Ptr merge = createMergeRobertson(); Mat result, expected; - loadImage(test_path + "merge/robertson.exr", expected); + loadImage(test_path + "merge/robertson.hdr", expected); merge->process(images, result, times); Ptr map = createTonemap(); map->process(result, result); From b1af5cc4782112ff58f8ea0c03b751bb8c0d7308 Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Wed, 18 Sep 2013 18:15:51 +0400 Subject: [PATCH 48/55] Remove ghost removal --- modules/photo/include/opencv2/photo.hpp | 57 ----- modules/photo/src/align.cpp | 279 ------------------------ 2 files changed, 336 deletions(-) diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index ca3975f12..f48df802b 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -288,63 +288,6 @@ public: CV_EXPORTS_W Ptr createMergeRobertson(); -class CV_EXPORTS_W Ghostbuster : public Algorithm -{ -public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) = 0; -}; - -// "Ghost Detection and Removal in High Dynamic Range Images", Sidibe et al., 2009 - -class CV_EXPORTS_W GhostbusterOrder : public Ghostbuster -{ -public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; - - CV_WRAP virtual int getUnderexp() = 0; - CV_WRAP virtual void setUnderexp(int value) = 0; - - CV_WRAP virtual int getOverexp() = 0; - CV_WRAP virtual void setOverexp(int value) = 0; -}; - -CV_EXPORTS_W Ptr createGhostbusterOrder(int underexp = 20, int overexp = 240); - -// "Fast and Robust High Dynamic Range Image Generation with Camera and Object Movement", Grosch, 2006 - -class CV_EXPORTS_W GhostbusterPredict : public Ghostbuster -{ -public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) = 0; - - CV_WRAP virtual int getThreshold() = 0; - CV_WRAP virtual void setThreshold(int value) = 0; - - CV_WRAP virtual int getUnderexp() = 0; - CV_WRAP virtual void setUnderexp(int value) = 0; - - CV_WRAP virtual int getOverexp() = 0; - CV_WRAP virtual void setOverexp(int value) = 0; -}; - -CV_EXPORTS_W Ptr createGhostbusterPredict(int thresh = 10, int underexp = 20, int overexp = 240); - -// "Bitmap Movement Detection: HDR for Dynamic Scenes", Pece, Kautz, 2010 - -class CV_EXPORTS_W GhostbusterBitmap : public Ghostbuster -{ -public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; - - CV_WRAP virtual int getExclude() = 0; - CV_WRAP virtual void setExclude(int value) = 0; -}; - -CV_EXPORTS_W Ptr createGhostbusterBitmap(int exclude = 4); - } // cv #endif diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 295fea350..35c949172 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -263,284 +263,5 @@ Ptr createAlignMTB(int max_bits, int exclude_range, bool cut) return new AlignMTBImpl(max_bits, exclude_range, cut); } -class floatIndexCmp { -public: - floatIndexCmp(std::vector data) : - data(data) - { - } - - bool operator() (int i,int j) - { - return data[i] < data[j]; - } -protected: - std::vector data; -}; - -class GhostbusterOrderImpl : public GhostbusterOrder -{ -public: - GhostbusterOrderImpl(int underexp, int overexp) : - underexp(underexp), - overexp(overexp), - name("GhostbusterOrder") - { - } - - void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) - { - process(src, dst); - } - - void process(InputArrayOfArrays src, OutputArray dst) - { - std::vector unsorted_images; - src.getMatVector(unsorted_images); - checkImageDimensions(unsorted_images); - - std::vector images; - sortImages(unsorted_images, images); - - int channels = images[0].channels(); - dst.create(images[0].size(), CV_8U); - - Mat res = Mat::zeros(images[0].size(), CV_8U); - - std::vector splitted(channels); - split(images[0], splitted); - for(size_t i = 0; i < images.size() - 1; i++) { - - std::vector next_splitted(channels); - split(images[i + 1], next_splitted); - - for(int c = 0; c < channels; c++) { - Mat exposed = (splitted[c] >= underexp) & (splitted[c] <= overexp); - exposed &= (next_splitted[c] >= underexp) & (next_splitted[c] <= overexp); - Mat ghost = (splitted[c] > next_splitted[c]) & exposed; - res |= ghost; - } - splitted = next_splitted; - } - res.copyTo(dst.getMat()); - } - - int getUnderexp() {return underexp;} - void setUnderexp(int value) {underexp = value;} - - int getOverexp() {return overexp;} - void setOverexp(int value) {overexp = value;} - - void write(FileStorage& fs) const - { - fs << "name" << name - << "overexp" << overexp - << "underexp" << underexp; - } - - void read(const FileNode& fn) - { - FileNode n = fn["name"]; - CV_Assert(n.isString() && String(n) == name); - overexp = fn["overexp"]; - underexp = fn["underexp"]; - } - -protected: - int overexp, underexp; - String name; - - void sortImages(std::vector& images, std::vector& sorted) - { - std::vectorindices(images.size()); - std::vectormeans(images.size()); - for(size_t i = 0; i < images.size(); i++) { - indices[i] = i; - means[i] = mean(mean(images[i]))[0]; - } - sort(indices.begin(), indices.end(), floatIndexCmp(means)); - sorted.resize(images.size()); - for(size_t i = 0; i < images.size(); i++) { - sorted[i] = images[indices[i]]; - } - } -}; - -Ptr createGhostbusterOrder(int underexp, int overexp) -{ - return new GhostbusterOrderImpl(underexp, overexp); -} - -class GhostbusterPredictImpl : public GhostbusterPredict -{ -public: - GhostbusterPredictImpl(int thresh, int underexp, int overexp) : - thresh(thresh), - underexp(underexp), - overexp(overexp), - name("GhostbusterPredict") - { - } - - void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) - { - std::vector images; - src.getMatVector(images); - checkImageDimensions(images); - - int channels = images[0].channels(); - dst.create(images[0].size(), CV_8U); - - Mat res = Mat::zeros(images[0].size(), CV_8U); - - Mat radiance; - LUT(images[0], response, radiance); - std::vector splitted(channels); - split(radiance, splitted); - std::vector resp_split(channels); - split(response, resp_split); - for(size_t i = 0; i < images.size() - 1; i++) { - - std::vector next_splitted(channels); - LUT(images[i + 1], response, radiance); - split(radiance, next_splitted); - - for(int c = 0; c < channels; c++) { - - Mat predicted = splitted[c] / times[i] * times[i + 1]; - - Mat low = max(thresh, next_splitted[c]) - thresh; - Mat high = min(255 - thresh, next_splitted[c]) + thresh; - low.convertTo(low, CV_8U); - high.convertTo(high, CV_8U); - LUT(low, resp_split[c], low); - LUT(high, resp_split[c], high); - - Mat exposed = (splitted[c] >= underexp) & (splitted[c] <= overexp); - exposed &= (next_splitted[c] >= underexp) & (next_splitted[c] <= overexp); - - Mat ghost = (low < predicted) & (predicted < high); - ghost &= exposed; - res |= ghost; - } - splitted = next_splitted; - } - res.copyTo(dst.getMat()); - } - - virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) - { - Mat response = linearResponse(3); - response.at(0) = response.at(1); - process(src, dst, times, response); - } - - CV_WRAP virtual int getThreshold() {return thresh;} - CV_WRAP virtual void setThreshold(int value) {thresh = value;} - - int getUnderexp() {return underexp;} - void setUnderexp(int value) {underexp = value;} - - int getOverexp() {return overexp;} - void setOverexp(int value) {overexp = value;} - - void write(FileStorage& fs) const - { - fs << "name" << name - << "overexp" << overexp - << "underexp" << underexp - << "thresh" << thresh; - } - - void read(const FileNode& fn) - { - FileNode n = fn["name"]; - CV_Assert(n.isString() && String(n) == name); - overexp = fn["overexp"]; - underexp = fn["underexp"]; - thresh = fn["thresh"]; - } - -protected: - int thresh, underexp, overexp; - String name; -}; - -Ptr createGhostbusterPredict(int thresh, int underexp, int overexp) -{ - return new GhostbusterPredictImpl(thresh, underexp, overexp); -} - -class GhostbusterBitmapImpl : public GhostbusterBitmap -{ -public: - GhostbusterBitmapImpl(int exclude) : - exclude(exclude), - name("GhostbusterBitmap") - { - } - - void process(InputArrayOfArrays src, OutputArray dst, std::vector& times, Mat response) - { - process(src, dst); - } - - void process(InputArrayOfArrays src, OutputArray dst) - { - std::vector images; - src.getMatVector(images); - checkImageDimensions(images); - - int channels = images[0].channels(); - dst.create(images[0].size(), CV_8U); - - Mat res = Mat::zeros(images[0].size(), CV_8U); - - Ptr MTB = createAlignMTB(); - MTB->setExcludeRange(exclude); - - for(size_t i = 0; i < images.size(); i++) { - Mat gray; - if(channels == 1) { - gray = images[i]; - } else { - cvtColor(images[i], gray, COLOR_RGB2GRAY); - } - - Mat tb, eb; - MTB->computeBitmaps(gray, tb, eb); - tb &= eb & 1; - res += tb; - } - res = (res > 0) & (res < images.size()); - res.copyTo(dst.getMat()); - } - - int getExclude() {return exclude;} - void setExclude(int value) {exclude = value;} - - void write(FileStorage& fs) const - { - fs << "name" << name - << "exclude" << exclude; - } - - void read(const FileNode& fn) - { - FileNode n = fn["name"]; - CV_Assert(n.isString() && String(n) == name); - exclude = fn["exclude"]; - } - -protected: - int exclude; - String name; -}; - -Ptr createGhostbusterBitmap(int exclude) -{ - return new GhostbusterBitmapImpl(exclude); -} - } From c9ace38897f649df3de3ed75fe0b151745bfc64f Mon Sep 17 00:00:00 2001 From: Fedor Morozov Date: Mon, 23 Sep 2013 23:40:06 +0400 Subject: [PATCH 49/55] Docs updated, added InputArray, fixes for makePtr,... --- doc/mymath.sty | 1 - .../retina_model/retina_model.rst~ | 418 ------------------ .../photo/hdr_imaging/hdr_imaging.rst | 36 +- doc/tutorials/tutorials.rst | 2 +- modules/highgui/src/grfmt_hdr.cpp | 130 +++--- modules/highgui/src/grfmt_hdr.hpp | 30 +- modules/highgui/src/grfmt_tiff.cpp | 132 +++--- modules/highgui/src/grfmt_tiff.hpp | 6 +- modules/highgui/src/loadsave.cpp | 9 +- modules/highgui/src/rgbe.cpp | 139 +++--- modules/highgui/src/rgbe.hpp | 17 +- modules/highgui/test/test_grfmt.cpp | 38 +- modules/photo/doc/hdr_imaging.rst | 174 ++++---- modules/photo/include/opencv2/photo.hpp | 58 +-- modules/photo/src/align.cpp | 51 ++- modules/photo/src/calibrate.cpp | 52 +-- modules/photo/src/hdr_common.cpp | 2 +- modules/photo/src/merge.cpp | 55 +-- modules/photo/src/tonemap.cpp | 104 ++--- modules/photo/test/test_hdr.cpp | 231 +++++----- modules/python/src2/cv2.cpp | 4 +- .../photo/hdr_imaging/hdr_imaging.cpp | 38 +- 22 files changed, 651 insertions(+), 1076 deletions(-) delete mode 100644 doc/tutorials/bioinspired/retina_model/retina_model.rst~ diff --git a/doc/mymath.sty b/doc/mymath.sty index 491c160cc..4da828212 100644 --- a/doc/mymath.sty +++ b/doc/mymath.sty @@ -39,4 +39,3 @@ #7 & #8 & #9 \end{bmatrix} } - diff --git a/doc/tutorials/bioinspired/retina_model/retina_model.rst~ b/doc/tutorials/bioinspired/retina_model/retina_model.rst~ deleted file mode 100644 index 50bdcbb62..000000000 --- a/doc/tutorials/bioinspired/retina_model/retina_model.rst~ +++ /dev/null @@ -1,418 +0,0 @@ -.. _Retina_Model: - -Discovering the human retina and its use for image processing -************************************************************* - -Goal -===== - -I present here a model of human retina that shows some interesting properties for image preprocessing and enhancement. -In this tutorial you will learn how to: - -.. container:: enumeratevisibleitemswithsquare - - + discover the main two channels outing from your retina - - + see the basics to use the retina model - - + discover some parameters tweaks - - -General overview -================ - -The proposed model originates from Jeanny Herault's research [herault2010]_ at `Gipsa `_. It is involved in image processing applications with `Listic `_ (code maintainer and user) lab. This is not a complete model but it already present interesting properties that can be involved for enhanced image processing experience. The model allows the following human retina properties to be used : - -* spectral whitening that has 3 important effects: high spatio-temporal frequency signals canceling (noise), mid-frequencies details enhancement and low frequencies luminance energy reduction. This *all in one* property directly allows visual signals cleaning of classical undesired distortions introduced by image sensors and input luminance range. - -* local logarithmic luminance compression allows details to be enhanced even in low light conditions. - -* decorrelation of the details information (Parvocellular output channel) and transient information (events, motion made available at the Magnocellular output channel). - -The first two points are illustrated below : - -In the figure below, the OpenEXR image sample *CrissyField.exr*, a High Dynamic Range image is shown. In order to make it visible on this web-page, the original input image is linearly rescaled to the classical image luminance range [0-255] and is converted to 8bit/channel format. Such strong conversion hides many details because of too strong local contrasts. Furthermore, noise energy is also strong and pollutes visual information. - -.. image:: images/retina_TreeHdr_small.jpg - :alt: A High dynamic range image linearly rescaled within range [0-255]. - :align: center - -In the following image, applying the ideas proposed in [benoit2010]_, as your retina does, local luminance adaptation, spatial noise removal and spectral whitening work together and transmit accurate information on lower range 8bit data channels. On this picture, noise in significantly removed, local details hidden by strong luminance contrasts are enhanced. Output image keeps its naturalness and visual content is enhanced. Color processing is based on the color multiplexing/demultiplexing method proposed in [chaix2007]_. - -.. image:: images/retina_TreeHdr_retina.jpg - :alt: A High dynamic range image compressed within range [0-255] using the retina. - :align: center - - -*Note :* image sample can be downloaded from the `OpenEXR website `_. Regarding this demonstration, before retina processing, input image has been linearly rescaled within 0-255 keeping its channels float format. 5% of its histogram ends has been cut (mostly removes wrong HDR pixels). Check out the sample *opencv/samples/cpp/OpenEXRimages_HighDynamicRange_Retina_toneMapping.cpp* for similar processing. The following demonstration will only consider classical 8bit/channel images. - -The retina model output channels -================================ - -The retina model presents two outputs that benefit from the above cited behaviors. - -* The first one is called the Parvocellular channel. It is mainly active in the foveal retina area (high resolution central vision with color sensitive photo-receptors), its aim is to provide accurate color vision for visual details remaining static on the retina. On the other hand objects moving on the retina projection are blurred. - -* The second well known channel is the Magnocellular channel. It is mainly active in the retina peripheral vision and send signals related to change events (motion, transient events, etc.). These outing signals also help visual system to focus/center retina on 'transient'/moving areas for more detailed analysis thus improving visual scene context and object classification. - -**NOTE :** regarding the proposed model, contrary to the real retina, we apply these two channels on the entire input images using the same resolution. This allows enhanced visual details and motion information to be extracted on all the considered images... but remember, that these two channels are complementary. For example, if Magnocellular channel gives strong energy in an area, then, the Parvocellular channel is certainly blurred there since there is a transient event. - -As an illustration, we apply in the following the retina model on a webcam video stream of a dark visual scene. In this visual scene, captured in an amphitheater of the university, some students are moving while talking to the teacher. - -In this video sequence, because of the dark ambiance, signal to noise ratio is low and color artifacts are present on visual features edges because of the low quality image capture tool-chain. - -.. image:: images/studentsSample_input.jpg - :alt: an input video stream extract sample - :align: center - -Below is shown the retina foveal vision applied on the entire image. In the used retina configuration, global luminance is preserved and local contrasts are enhanced. Also, signal to noise ratio is improved : since high frequency spatio-temporal noise is reduced, enhanced details are not corrupted by any enhanced noise. - -.. image:: images/studentsSample_parvo.jpg - :alt: the retina Parvocellular output. Enhanced details, luminance adaptation and noise removal. A processing tool for image analysis. - :align: center - -Below is the output of the Magnocellular output of the retina model. Its signals are strong where transient events occur. Here, a student is moving at the bottom of the image thus generating high energy. The remaining of the image is static however, it is corrupted by a strong noise. Here, the retina filters out most of the noise thus generating low false motion area 'alarms'. This channel can be used as a transient/moving areas detector : it would provide relevant information for a low cost segmentation tool that would highlight areas in which an event is occurring. - -.. image:: images/studentsSample_magno.jpg - :alt: the retina Magnocellular output. Enhanced transient signals (motion, etc.). A preprocessing tool for event detection. - :align: center - -Retina use case -=============== - -This model can be used basically for spatio-temporal video effects but also in the aim of : - -* performing texture analysis with enhanced signal to noise ratio and enhanced details robust against input images luminance ranges (check out the Parvocellular retina channel output) - -* performing motion analysis also taking benefit of the previously cited properties. - -Literature -========== -For more information, refer to the following papers : - -.. [benoit2010] Benoit A., Caplier A., Durette B., Herault, J., "Using Human Visual System Modeling For Bio-Inspired Low Level Image Processing", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773. DOI - -* Please have a look at the reference work of Jeanny Herault that you can read in his book : - -.. [herault2010] Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception (Progress in Neural Processing),By: Jeanny Herault, ISBN: 9814273686. WAPI (Tower ID): 113266891. - -This retina filter code includes the research contributions of phd/research collegues from which code has been redrawn by the author : - -* take a look at the *retinacolor.hpp* module to discover Brice Chaix de Lavarene phD color mosaicing/demosaicing and his reference paper: - -.. [chaix2007] B. Chaix de Lavarene, D. Alleysson, B. Durette, J. Herault (2007). "Efficient demosaicing through recursive filtering", IEEE International Conference on Image Processing ICIP 2007 - -* take a look at *imagelogpolprojection.hpp* to discover retina spatial log sampling which originates from Barthelemy Durette phd with Jeanny Herault. A Retina / V1 cortex projection is also proposed and originates from Jeanny's discussions. More informations in the above cited Jeanny Heraults's book. - -Code tutorial -============= - -Please refer to the original tutorial source code in file *opencv_folder/samples/cpp/tutorial_code/bioinspired/retina_tutorial.cpp*. - -**Note :** do not forget that the retina model is included in the following namespace : *cv::bioinspired*. - -To compile it, assuming OpenCV is correctly installed, use the following command. It requires the opencv_core *(cv::Mat and friends objects management)*, opencv_highgui *(display and image/video read)* and opencv_bioinspired *(Retina description)* libraries to compile. - -.. code-block:: cpp - - // compile - gcc retina_tutorial.cpp -o Retina_tuto -lopencv_core -lopencv_highgui -lopencv_bioinspired - - // Run commands : add 'log' as a last parameter to apply a spatial log sampling (simulates retina sampling) - // run on webcam - ./Retina_tuto -video - // run on video file - ./Retina_tuto -video myVideo.avi - // run on an image - ./Retina_tuto -image myPicture.jpg - // run on an image with log sampling - ./Retina_tuto -image myPicture.jpg log - -Here is a code explanation : - -Retina definition is present in the bioinspired package and a simple include allows to use it. You can rather use the specific header : *opencv2/bioinspired.hpp* if you prefer but then include the other required openv modules : *opencv2/core.hpp* and *opencv2/highgui.hpp* - -.. code-block:: cpp - - #include "opencv2/opencv.hpp" - -Provide user some hints to run the program with a help function - -.. code-block:: cpp - - // the help procedure - static void help(std::string errorMessage) - { - std::cout<<"Program init error : "< you can use this to fine tune parameters and load them if you save to file 'RetinaSpecificParameters.xml'"<= 3) - { - std::cout<<"RetinaDemo: processing image "<>inputFrame; - }else - { - // bad command parameter - help("bad command parameter"); - return -1; - } - -Once all input parameters are processed, a first image should have been loaded, if not, display error and stop program : - -.. code-block:: cpp - - if (inputFrame.empty()) - { - help("Input media could not be loaded, aborting"); - return -1; - } - -Now, everything is ready to run the retina model. I propose here to allocate a retina instance and to manage the eventual log sampling option. The Retina constructor expects at least a cv::Size object that shows the input data size that will have to be managed. One can activate other options such as color and its related color multiplexing strategy (here Bayer multiplexing is chosen using *enum cv::bioinspired::RETINA_COLOR_BAYER*). If using log sampling, the image reduction factor (smaller output images) and log sampling strengh can be adjusted. - -.. code-block:: cpp - - // pointer to a retina object - cv::Ptr myRetina; - - // if the last parameter is 'log', then activate log sampling (favour foveal vision and subsamples peripheral vision) - if (useLogSampling) - { - myRetina = cv::bioinspired::createRetina(inputFrame.size(), true, cv::bioinspired::RETINA_COLOR_BAYER, true, 2.0, 10.0); - } - else// -> else allocate "classical" retina : - myRetina = cv::bioinspired::createRetina(inputFrame.size()); - -Once done, the proposed code writes a default xml file that contains the default parameters of the retina. This is useful to make your own config using this template. Here generated template xml file is called *RetinaDefaultParameters.xml*. - -.. code-block:: cpp - - // save default retina parameters file in order to let you see this and maybe modify it and reload using method "setup" - myRetina->write("RetinaDefaultParameters.xml"); - -In the following line, the retina attempts to load another xml file called *RetinaSpecificParameters.xml*. If you created it and introduced your own setup, it will be loaded, in the other case, default retina parameters are used. - -.. code-block:: cpp - - // load parameters if file exists - myRetina->setup("RetinaSpecificParameters.xml"); - -It is not required here but just to show it is possible, you can reset the retina buffers to zero to force it to forget past events. - -.. code-block:: cpp - - // reset all retina buffers (imagine you close your eyes for a long time) - myRetina->clearBuffers(); - -Now, it is time to run the retina ! First create some output buffers ready to receive the two retina channels outputs - -.. code-block:: cpp - - // declare retina output buffers - cv::Mat retinaOutput_parvo; - cv::Mat retinaOutput_magno; - -Then, run retina in a loop, load new frames from video sequence if necessary and get retina outputs back to dedicated buffers. - -.. code-block:: cpp - - // processing loop with no stop condition - while(true) - { - // if using video stream, then, grabbing a new frame, else, input remains the same - if (videoCapture.isOpened()) - videoCapture>>inputFrame; - - // run retina filter on the loaded input frame - myRetina->run(inputFrame); - // Retrieve and display retina output - myRetina->getParvo(retinaOutput_parvo); - myRetina->getMagno(retinaOutput_magno); - cv::imshow("retina input", inputFrame); - cv::imshow("Retina Parvo", retinaOutput_parvo); - cv::imshow("Retina Magno", retinaOutput_magno); - cv::waitKey(10); - } - -That's done ! But if you want to secure the system, take care and manage Exceptions. The retina can throw some when it sees irrelevant data (no input frame, wrong setup, etc.). -Then, i recommend to surround all the retina code by a try/catch system like this : - -.. code-block:: cpp - - try{ - // pointer to a retina object - cv::Ptr myRetina; - [---] - // processing loop with no stop condition - while(true) - { - [---] - } - - }catch(cv::Exception e) - { - std::cerr<<"Error using Retina : "< - -Once done open the configuration file *RetinaDefaultParameters.xml* generated by the demo and let's have a look at it. - -.. code-block:: cpp - - - - - 1 - 1 - 7.5e-01 - 9.0e-01 - 5.7e-01 - 0.01 - 0.5 - 7. - 7.5e-01 - - 1 - 0. - 0. - 7. - 2.0e+00 - 9.5e-01 - 0. - 7. - - -Here are some hints but actually, the best parameter setup depends more on what you want to do with the retina rather than the images input that you give to retina. Apart from the more specific case of High Dynamic Range images (HDR) that require more specific setup for specific luminance compression objective, the retina behaviors should be rather stable from content to content. Note that OpenCV is able to manage such HDR format thanks to the OpenEXR images compatibility. - -Then, if the application target requires details enhancement prior to specific image processing, you need to know if mean luminance information is required or not. If not, the the retina can cancel or significantly reduce its energy thus giving more visibility to higher spatial frequency details. - - -Basic parameters ----------------- - -The most simple parameters are the following : - -* **colorMode** : let the retina process color information (if 1) or gray scale images (if 0). In this last case, only the first channel of the input will be processed. - -* **normaliseOutput** : each channel has this parameter, if value is 1, then the considered channel output is rescaled between 0 and 255. Take care in this case at the Magnocellular output level (motion/transient channel detection). Residual noise will also be rescaled ! - -**Note :** using color requires color channels multiplexing/demultipexing which requires more processing. You can expect much faster processing using gray levels : it would require around 30 product per pixel for all the retina processes and it has recently been parallelized for multicore architectures. - -Photo-receptors parameters --------------------------- - -The following parameters act on the entry point of the retina - photo-receptors - and impact all the following processes. These sensors are low pass spatio-temporal filters that smooth temporal and spatial data and also adjust there sensitivity to local luminance thus improving details extraction and high frequency noise canceling. - -* **photoreceptorsLocalAdaptationSensitivity** between 0 and 1. Values close to 1 allow high luminance log compression effect at the photo-receptors level. Values closer to 0 give a more linear sensitivity. Increased alone, it can burn the *Parvo (details channel)* output image. If adjusted in collaboration with **ganglionCellsSensitivity** images can be very contrasted whatever the local luminance there is... at the price of a naturalness decrease. - -* **photoreceptorsTemporalConstant** this setups the temporal constant of the low pass filter effect at the entry of the retina. High value lead to strong temporal smoothing effect : moving objects are blurred and can disappear while static object are favored. But when starting the retina processing, stable state is reached lately. - -* **photoreceptorsSpatialConstant** specifies the spatial constant related to photo-receptors low pass filter effect. This parameters specify the minimum allowed spatial signal period allowed in the following. Typically, this filter should cut high frequency noise. Then a 0 value doesn't cut anything noise while higher values start to cut high spatial frequencies and more and more lower frequencies... Then, do not go to high if you wanna see some details of the input images ! A good compromise for color images is 0.53 since this won't affect too much the color spectrum. Higher values would lead to gray and blurred output images. - -Horizontal cells parameters ---------------------------- - -This parameter set tunes the neural network connected to the photo-receptors, the horizontal cells. It modulates photo-receptors sensitivity and completes the processing for final spectral whitening (part of the spatial band pass effect thus favoring visual details enhancement). - -* **horizontalCellsGain** here is a critical parameter ! If you are not interested by the mean luminance and focus on details enhancement, then, set to zero. But if you want to keep some environment luminance data, let some low spatial frequencies pass into the system and set a higher value (<1). - -* **hcellsTemporalConstant** similar to photo-receptors, this acts on the temporal constant of a low pass temporal filter that smooths input data. Here, a high value generates a high retina after effect while a lower value makes the retina more reactive. This value should be lower than **photoreceptorsTemporalConstant** to limit strong retina after effects. - -* **hcellsSpatialConstant** is the spatial constant of the low pass filter of these cells filter. It specifies the lowest spatial frequency allowed in the following. Visually, a high value leads to very low spatial frequencies processing and leads to salient halo effects. Lower values reduce this effect but the limit is : do not go lower than the value of **photoreceptorsSpatialConstant**. Those 2 parameters actually specify the spatial band-pass of the retina. - -**NOTE** after the processing managed by the previous parameters, input data is cleaned from noise and luminance in already partly enhanced. The following parameters act on the last processing stages of the two outing retina signals. - -Parvo (details channel) dedicated parameter -------------------------------------------- - -* **ganglionCellsSensitivity** specifies the strength of the final local adaptation occurring at the output of this details dedicated channel. Parameter values remain between 0 and 1. Low value tend to give a linear response while higher values enforces the remaining low contrasted areas. - -**Note :** this parameter can correct eventual burned images by favoring low energetic details of the visual scene, even in bright areas. - -IPL Magno (motion/transient channel) parameters ------------------------------------------------ - -Once image information is cleaned, this channel acts as a high pass temporal filter that only selects signals related to transient signals (events, motion, etc.). A low pass spatial filter smooths extracted transient data and a final logarithmic compression enhances low transient events thus enhancing event sensitivity. - -* **parasolCells_beta** generally set to zero, can be considered as an amplifier gain at the entry point of this processing stage. Generally set to 0. - -* **parasolCells_tau** the temporal smoothing effect that can be added - -* **parasolCells_k** the spatial constant of the spatial filtering effect, set it at a high value to favor low spatial frequency signals that are lower subject to residual noise. - -* **amacrinCellsTemporalCutFrequency** specifies the temporal constant of the high pass filter. High values let slow transient events to be selected. - -* **V0CompressionParameter** specifies the strength of the log compression. Similar behaviors to previous description but here it enforces sensitivity of transient events. - -* **localAdaptintegration_tau** generally set to 0, no real use here actually - -* **localAdaptintegration_k** specifies the size of the area on which local adaptation is performed. Low values lead to short range local adaptation (higher sensitivity to noise), high values secure log compression. diff --git a/doc/tutorials/photo/hdr_imaging/hdr_imaging.rst b/doc/tutorials/photo/hdr_imaging/hdr_imaging.rst index f39f871db..40a23edad 100644 --- a/doc/tutorials/photo/hdr_imaging/hdr_imaging.rst +++ b/doc/tutorials/photo/hdr_imaging/hdr_imaging.rst @@ -40,13 +40,13 @@ Explanation loadExposureSeq(argv[1], images, times); Firstly we load input images and exposure times from user-defined folder. The folder should contain images and *list.txt* - file that contains file names and inverse exposure times. - + For our image sequence the list is following: - - .. code-block:: none - + + .. code-block:: none + memorial00.png 0.03125 - memorial01.png 0.0625 + memorial01.png 0.0625 ... memorial15.png 1024 @@ -57,9 +57,9 @@ Explanation Mat response; Ptr calibrate = createCalibrateDebevec(); calibrate->process(images, response, times); - + It is necessary to know camera response function (CRF) for a lot of HDR construction algorithms. We use one of the calibration algorithms to estimate inverse CRF for all 256 pixel values. - + 3. **Make HDR image** .. code-block:: cpp @@ -67,39 +67,39 @@ Explanation Mat hdr; Ptr merge_debevec = createMergeDebevec(); merge_debevec->process(images, hdr, times, response); - + We use Debevec's weighting scheme to construct HDR image using response calculated in the previous item. - + 4. **Tonemap HDR image** .. code-block:: cpp - + Mat ldr; Ptr tonemap = createTonemapDurand(2.2f); tonemap->process(hdr, ldr); - + Since we want to see our results on common LDR display we have to map our HDR image to 8-bit range preserving most details. It is the main goal of tonemapping methods. We use tonemapper with bilateral filtering and set 2.2 as the value for gamma correction. - + 5. **Perform exposure fusion** .. code-block:: cpp - + Mat fusion; Ptr merge_mertens = createMergeMertens(); merge_mertens->process(images, fusion); There is an alternative way to merge our exposures in case when we don't need HDR image. This process is called exposure fusion and produces LDR image that doesn't require gamma correction. It also doesn't use exposure values of the photographs. - + 6. **Write results** .. code-block:: cpp - + imwrite("fusion.png", fusion * 255); imwrite("ldr.png", ldr * 255); imwrite("hdr.hdr", hdr); - + Now it's time to look at the results. Note that HDR image can't be stored in one of common image formats, so we save it to Radiance image (.hdr). Also all HDR imaging functions return results in [0, 1] range so we should multiply result by 255. - + Results ======= @@ -111,7 +111,7 @@ Tonemapped image :width: 242pt :alt: Tonemapped image :align: center - + Exposure fusion ------------------ diff --git a/doc/tutorials/tutorials.rst b/doc/tutorials/tutorials.rst index 822c54d56..06d2b66fc 100644 --- a/doc/tutorials/tutorials.rst +++ b/doc/tutorials/tutorials.rst @@ -155,7 +155,7 @@ As always, we would be happy to hear your comments and receive your contribution :height: 80pt :width: 80pt :alt: photo Icon - + * :ref:`Table-Of-Content-GPU` .. tabularcolumns:: m{100pt} m{300pt} diff --git a/modules/highgui/src/grfmt_hdr.cpp b/modules/highgui/src/grfmt_hdr.cpp index e35902f99..f79512054 100644 --- a/modules/highgui/src/grfmt_hdr.cpp +++ b/modules/highgui/src/grfmt_hdr.cpp @@ -49,10 +49,10 @@ namespace cv HdrDecoder::HdrDecoder() { - m_signature = "#?RGBE"; - m_signature_alt = "#?RADIANCE"; - file = NULL; - m_type = CV_32FC3; + m_signature = "#?RGBE"; + m_signature_alt = "#?RADIANCE"; + file = NULL; + m_type = CV_32FC3; } HdrDecoder::~HdrDecoder() @@ -61,61 +61,61 @@ HdrDecoder::~HdrDecoder() size_t HdrDecoder::signatureLength() const { - return m_signature.size() > m_signature_alt.size() ? - m_signature.size() : m_signature_alt.size(); + return m_signature.size() > m_signature_alt.size() ? + m_signature.size() : m_signature_alt.size(); } bool HdrDecoder::readHeader() { - file = fopen(m_filename.c_str(), "rb"); - if(!file) { - return false; - } - RGBE_ReadHeader(file, &m_width, &m_height, NULL); - if(m_width <= 0 || m_height <= 0) { - fclose(file); - file = NULL; - return false; - } - return true; + file = fopen(m_filename.c_str(), "rb"); + if(!file) { + return false; + } + RGBE_ReadHeader(file, &m_width, &m_height, NULL); + if(m_width <= 0 || m_height <= 0) { + fclose(file); + file = NULL; + return false; + } + return true; } bool HdrDecoder::readData(Mat& _img) { - Mat img(m_height, m_width, CV_32FC3); - if(!file) { - if(!readHeader()) { - return false; - } - } - RGBE_ReadPixels_RLE(file, const_cast(img.ptr()), img.cols, img.rows); - fclose(file); file = NULL; - - if(_img.depth() == img.depth()) { - img.convertTo(_img, _img.type()); - } else { - img.convertTo(_img, _img.type(), 255); - } - return true; + Mat img(m_height, m_width, CV_32FC3); + if(!file) { + if(!readHeader()) { + return false; + } + } + RGBE_ReadPixels_RLE(file, const_cast(img.ptr()), img.cols, img.rows); + fclose(file); file = NULL; + + if(_img.depth() == img.depth()) { + img.convertTo(_img, _img.type()); + } else { + img.convertTo(_img, _img.type(), 255); + } + return true; } bool HdrDecoder::checkSignature( const String& signature ) const { - if(signature.size() >= m_signature.size() && - (!memcmp(signature.c_str(), m_signature.c_str(), m_signature.size()) || - !memcmp(signature.c_str(), m_signature_alt.c_str(), m_signature_alt.size()))) - return true; - return false; + if(signature.size() >= m_signature.size() && + (!memcmp(signature.c_str(), m_signature.c_str(), m_signature.size()) || + !memcmp(signature.c_str(), m_signature_alt.c_str(), m_signature_alt.size()))) + return true; + return false; } ImageDecoder HdrDecoder::newDecoder() const { - return new HdrDecoder; + return makePtr(); } HdrEncoder::HdrEncoder() { - m_description = "Radiance HDR (*.hdr;*.pic)"; + m_description = "Radiance HDR (*.hdr;*.pic)"; } HdrEncoder::~HdrEncoder() @@ -124,41 +124,41 @@ HdrEncoder::~HdrEncoder() bool HdrEncoder::write( const Mat& input_img, const std::vector& params ) { - Mat img; - CV_Assert(input_img.channels() == 3 || input_img.channels() == 1); - if(input_img.channels() == 1) { - std::vector splitted(3, input_img); - merge(splitted, img); - } else { - input_img.copyTo(img); - } - if(img.depth() != CV_32F) { - img.convertTo(img, CV_32FC3, 1/255.0f); - } - CV_Assert(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE); - FILE *fout = fopen(m_filename.c_str(), "wb"); - if(!fout) { - return false; - } + Mat img; + CV_Assert(input_img.channels() == 3 || input_img.channels() == 1); + if(input_img.channels() == 1) { + std::vector splitted(3, input_img); + merge(splitted, img); + } else { + input_img.copyTo(img); + } + if(img.depth() != CV_32F) { + img.convertTo(img, CV_32FC3, 1/255.0f); + } + CV_Assert(params.empty() || params[0] == HDR_NONE || params[0] == HDR_RLE); + FILE *fout = fopen(m_filename.c_str(), "wb"); + if(!fout) { + return false; + } - RGBE_WriteHeader(fout, img.cols, img.rows, NULL); - if(params.empty() || params[0] == HDR_RLE) { - RGBE_WritePixels_RLE(fout, const_cast(img.ptr()), img.cols, img.rows); - } else { - RGBE_WritePixels(fout, const_cast(img.ptr()), img.cols * img.rows); - } + RGBE_WriteHeader(fout, img.cols, img.rows, NULL); + if(params.empty() || params[0] == HDR_RLE) { + RGBE_WritePixels_RLE(fout, const_cast(img.ptr()), img.cols, img.rows); + } else { + RGBE_WritePixels(fout, const_cast(img.ptr()), img.cols * img.rows); + } - fclose(fout); - return true; + fclose(fout); + return true; } ImageEncoder HdrEncoder::newEncoder() const { - return new HdrEncoder; + return makePtr(); } bool HdrEncoder::isFormatSupported( int depth ) const { - return depth != CV_64F; + return depth != CV_64F; } } diff --git a/modules/highgui/src/grfmt_hdr.hpp b/modules/highgui/src/grfmt_hdr.hpp index 526778259..3ed8015e0 100644 --- a/modules/highgui/src/grfmt_hdr.hpp +++ b/modules/highgui/src/grfmt_hdr.hpp @@ -58,29 +58,29 @@ enum HdrCompression class HdrDecoder : public BaseImageDecoder { public: - HdrDecoder(); - ~HdrDecoder(); - bool readHeader(); - bool readData( Mat& img ); - bool checkSignature( const String& signature ) const; - ImageDecoder newDecoder() const; - size_t signatureLength() const; + HdrDecoder(); + ~HdrDecoder(); + bool readHeader(); + bool readData( Mat& img ); + bool checkSignature( const String& signature ) const; + ImageDecoder newDecoder() const; + size_t signatureLength() const; protected: - String m_signature_alt; - FILE *file; + String m_signature_alt; + FILE *file; }; // ... writer class HdrEncoder : public BaseImageEncoder { public: - HdrEncoder(); - ~HdrEncoder(); - bool write( const Mat& img, const std::vector& params ); - ImageEncoder newEncoder() const; - bool isFormatSupported( int depth ) const; + HdrEncoder(); + ~HdrEncoder(); + bool write( const Mat& img, const std::vector& params ); + ImageEncoder newEncoder() const; + bool isFormatSupported( int depth ) const; protected: - + }; } diff --git a/modules/highgui/src/grfmt_tiff.cpp b/modules/highgui/src/grfmt_tiff.cpp index d9a73c783..424ec217d 100644 --- a/modules/highgui/src/grfmt_tiff.cpp +++ b/modules/highgui/src/grfmt_tiff.cpp @@ -72,7 +72,7 @@ TiffDecoder::TiffDecoder() TIFFSetErrorHandler( GrFmtSilentTIFFErrorHandler ); TIFFSetWarningHandler( GrFmtSilentTIFFErrorHandler ); } - m_hdr = false; + m_hdr = false; } @@ -135,13 +135,13 @@ bool TiffDecoder::readHeader() m_width = wdth; m_height = hght; - if((bpp == 32 && ncn == 3) || photometric == PHOTOMETRIC_LOGLUV) - { - m_type = CV_32FC3; - m_hdr = true; - return true; - } - m_hdr = false; + if((bpp == 32 && ncn == 3) || photometric == PHOTOMETRIC_LOGLUV) + { + m_type = CV_32FC3; + m_hdr = true; + return true; + } + m_hdr = false; if( bpp > 8 && ((photometric != 2 && photometric != 1) || @@ -181,10 +181,10 @@ bool TiffDecoder::readHeader() bool TiffDecoder::readData( Mat& img ) { - if(m_hdr && img.type() == CV_32FC3) - { - return readHdrData(img); - } + if(m_hdr && img.type() == CV_32FC3) + { + return readHdrData(img); + } bool result = false; bool color = img.channels() > 1; uchar* data = img.data; @@ -394,35 +394,35 @@ bool TiffDecoder::readData( Mat& img ) return result; } -bool TiffDecoder::readHdrData(Mat& img) +bool TiffDecoder::readHdrData(Mat& img) { - int rows_per_strip = 0, photometric = 0; - if(!m_tif) - { - return false; - } - TIFF *tif = static_cast(m_tif); - TIFFGetField(tif, TIFFTAG_ROWSPERSTRIP, &rows_per_strip); + int rows_per_strip = 0, photometric = 0; + if(!m_tif) + { + return false; + } + TIFF *tif = static_cast(m_tif); + TIFFGetField(tif, TIFFTAG_ROWSPERSTRIP, &rows_per_strip); TIFFGetField( tif, TIFFTAG_PHOTOMETRIC, &photometric ); - TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT); - int size = 3 * m_width * m_height * sizeof (float); - int strip_size = 3 * m_width * rows_per_strip; - float *ptr = img.ptr(); - for (size_t i = 0; i < TIFFNumberOfStrips(tif); i++, ptr += strip_size) - { - TIFFReadEncodedStrip(tif, i, ptr, size); - size -= strip_size * sizeof(float); - } - close(); - if(photometric == PHOTOMETRIC_LOGLUV) - { - cvtColor(img, img, COLOR_XYZ2BGR); - } - else - { - cvtColor(img, img, COLOR_RGB2BGR); - } - return true; + TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT); + int size = 3 * m_width * m_height * sizeof (float); + int strip_size = 3 * m_width * rows_per_strip; + float *ptr = img.ptr(); + for (size_t i = 0; i < TIFFNumberOfStrips(tif); i++, ptr += strip_size) + { + TIFFReadEncodedStrip(tif, i, ptr, size); + size -= strip_size * sizeof(float); + } + close(); + if(photometric == PHOTOMETRIC_LOGLUV) + { + cvtColor(img, img, COLOR_XYZ2BGR); + } + else + { + cvtColor(img, img, COLOR_RGB2BGR); + } + return true; } #endif @@ -452,8 +452,8 @@ bool TiffEncoder::isFormatSupported( int depth ) const { #ifdef HAVE_TIFF return depth == CV_8U || depth == CV_16U || depth == CV_32F; -#else - return depth == CV_8U || depth == CV_16U; +#else + return depth == CV_8U || depth == CV_16U; #endif } @@ -608,29 +608,29 @@ bool TiffEncoder::writeLibTiff( const Mat& img, const std::vector& params) bool TiffEncoder::writeHdr(const Mat& _img) { - Mat img; - cvtColor(_img, img, COLOR_BGR2XYZ); - TIFF* tif = TIFFOpen(m_filename.c_str(), "w"); - if (!tif) - { + Mat img; + cvtColor(_img, img, COLOR_BGR2XYZ); + TIFF* tif = TIFFOpen(m_filename.c_str(), "w"); + if (!tif) + { return false; } - TIFFSetField(tif, TIFFTAG_IMAGEWIDTH, img.cols); - TIFFSetField(tif, TIFFTAG_IMAGELENGTH, img.rows); - TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, 3); - TIFFSetField(tif, TIFFTAG_COMPRESSION, COMPRESSION_SGILOG); - TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, PHOTOMETRIC_LOGLUV); - TIFFSetField(tif, TIFFTAG_PLANARCONFIG, PLANARCONFIG_CONTIG); - TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT); - TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, 1); - int strip_size = 3 * img.cols; - float *ptr = const_cast(img.ptr()); - for (int i = 0; i < img.rows; i++, ptr += strip_size) - { - TIFFWriteEncodedStrip(tif, i, ptr, strip_size * sizeof(float)); - } - TIFFClose(tif); - return true; + TIFFSetField(tif, TIFFTAG_IMAGEWIDTH, img.cols); + TIFFSetField(tif, TIFFTAG_IMAGELENGTH, img.rows); + TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, 3); + TIFFSetField(tif, TIFFTAG_COMPRESSION, COMPRESSION_SGILOG); + TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, PHOTOMETRIC_LOGLUV); + TIFFSetField(tif, TIFFTAG_PLANARCONFIG, PLANARCONFIG_CONTIG); + TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT); + TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, 1); + int strip_size = 3 * img.cols; + float *ptr = const_cast(img.ptr()); + for (int i = 0; i < img.rows; i++, ptr += strip_size) + { + TIFFWriteEncodedStrip(tif, i, ptr, strip_size * sizeof(float)); + } + TIFFClose(tif); + return true; } #endif @@ -645,10 +645,10 @@ bool TiffEncoder::write( const Mat& img, const std::vector& /*params*/) int width = img.cols, height = img.rows; int depth = img.depth(); #ifdef HAVE_TIFF - if(img.type() == CV_32FC3) - { - return writeHdr(img); - } + if(img.type() == CV_32FC3) + { + return writeHdr(img); + } #endif if (depth != CV_8U && depth != CV_16U) diff --git a/modules/highgui/src/grfmt_tiff.hpp b/modules/highgui/src/grfmt_tiff.hpp index 72547bdee..ec29fbc3e 100644 --- a/modules/highgui/src/grfmt_tiff.hpp +++ b/modules/highgui/src/grfmt_tiff.hpp @@ -108,8 +108,8 @@ public: protected: void* m_tif; int normalizeChannelsNumber(int channels) const; - bool readHdrData(Mat& img); - bool m_hdr; + bool readHdrData(Mat& img); + bool m_hdr; }; #endif @@ -132,7 +132,7 @@ protected: int count, int value ); bool writeLibTiff( const Mat& img, const std::vector& params ); - bool writeHdr( const Mat& img ); + bool writeHdr( const Mat& img ); }; } diff --git a/modules/highgui/src/loadsave.cpp b/modules/highgui/src/loadsave.cpp index 8f481553f..cdcaa23e5 100644 --- a/modules/highgui/src/loadsave.cpp +++ b/modules/highgui/src/loadsave.cpp @@ -59,15 +59,10 @@ struct ImageCodecInitializer { ImageCodecInitializer() { -<<<<<<< HEAD - decoders.push_back( new BmpDecoder ); - encoders.push_back( new BmpEncoder ); - decoders.push_back( new HdrDecoder ); - encoders.push_back( new HdrEncoder ); -======= decoders.push_back( makePtr() ); encoders.push_back( makePtr() ); ->>>>>>> 99a43257d5912ff215016e1cf5f4e0c2a934b72f + decoders.push_back( makePtr() ); + encoders.push_back( makePtr() ); #ifdef HAVE_JPEG decoders.push_back( makePtr() ); encoders.push_back( makePtr() ); diff --git a/modules/highgui/src/rgbe.cpp b/modules/highgui/src/rgbe.cpp index 6567d81ee..a28100a60 100644 --- a/modules/highgui/src/rgbe.cpp +++ b/modules/highgui/src/rgbe.cpp @@ -53,7 +53,7 @@ // developed by Greg Ward. It handles the conversions between rgbe and // pixels consisting of floats. The data is assumed to be an array of floats. // By default there are three floats per pixel in the order red, green, blue. -// (RGBE_DATA_??? values control this.) Only the mimimal header reading and +// (RGBE_DATA_??? values control this.) Only the mimimal header reading and // writing is implemented. Each routine does error checking and will return // a status value as defined below. This code is intended as a skeleton so // feel free to modify it to suit your needs. @@ -83,7 +83,7 @@ enum rgbe_error_codes { }; /* default error routine. change this to change error handling */ -static int rgbe_error(int rgbe_error_code, char *msg) +static int rgbe_error(int rgbe_error_code, const char *msg) { switch (rgbe_error_code) { case rgbe_read_error: @@ -93,20 +93,20 @@ static int rgbe_error(int rgbe_error_code, char *msg) CV_Error(cv::Error::StsError, "RGBE write error"); break; case rgbe_format_error: - CV_Error(cv::Error::StsError, cv::String("RGBE bad file format: ") + - cv::String(msg)); + CV_Error(cv::Error::StsError, cv::String("RGBE bad file format: ") + + cv::String(msg)); break; default: case rgbe_memory_error: - CV_Error(cv::Error::StsError, cv::String("RGBE error: \n") + - cv::String(msg)); + CV_Error(cv::Error::StsError, cv::String("RGBE error: \n") + + cv::String(msg)); } return RGBE_RETURN_FAILURE; } /* standard conversion from float pixels to rgbe pixels */ /* note: you can remove the "inline"s if your compiler complains about it */ -static INLINE void +static INLINE void float2rgbe(unsigned char rgbe[4], float red, float green, float blue) { float v; @@ -119,7 +119,7 @@ float2rgbe(unsigned char rgbe[4], float red, float green, float blue) rgbe[0] = rgbe[1] = rgbe[2] = rgbe[3] = 0; } else { - v = frexp(v,&e) * 256.0/v; + v = static_cast(frexp(v,&e) * 256.0/v); rgbe[0] = (unsigned char) (red * v); rgbe[1] = (unsigned char) (green * v); rgbe[2] = (unsigned char) (blue * v); @@ -130,13 +130,13 @@ float2rgbe(unsigned char rgbe[4], float red, float green, float blue) /* standard conversion from rgbe to float pixels */ /* note: Ward uses ldexp(col+0.5,exp-(128+8)). However we wanted pixels */ /* in the range [0,1] to map back into the range [0,1]. */ -static INLINE void +static INLINE void rgbe2float(float *red, float *green, float *blue, unsigned char rgbe[4]) { float f; if (rgbe[3]) { /*nonzero pixel*/ - f = ldexp(1.0,rgbe[3]-(int)(128+8)); + f = static_cast(ldexp(1.0,rgbe[3]-(int)(128+8))); *red = rgbe[0] * f; *green = rgbe[1] * f; *blue = rgbe[2] * f; @@ -148,7 +148,7 @@ rgbe2float(float *red, float *green, float *blue, unsigned char rgbe[4]) /* default minimal header. modify if you want more information in header */ int RGBE_WriteHeader(FILE *fp, int width, int height, rgbe_header_info *info) { - char *programtype = "RGBE"; + const char *programtype = "RGBE"; if (info && (info->valid & RGBE_VALID_PROGRAMTYPE)) programtype = info->programtype; @@ -174,11 +174,9 @@ int RGBE_WriteHeader(FILE *fp, int width, int height, rgbe_header_info *info) int RGBE_ReadHeader(FILE *fp, int *width, int *height, rgbe_header_info *info) { char buf[128]; - int found_format; float tempf; int i; - found_format = 0; if (info) { info->valid = 0; info->programtype[0] = 0; @@ -194,7 +192,7 @@ int RGBE_ReadHeader(FILE *fp, int *width, int *height, rgbe_header_info *info) info->valid |= RGBE_VALID_PROGRAMTYPE; for(i=0;i(sizeof(info->programtype)-1);i++) { if ((buf[i+2] == 0) || isspace(buf[i+2])) - break; + break; info->programtype[i] = buf[i+2]; } info->programtype[i] = 0; @@ -221,7 +219,7 @@ int RGBE_ReadHeader(FILE *fp, int *width, int *height, rgbe_header_info *info) return rgbe_error(rgbe_read_error,NULL); if (strcmp(buf,"\n") != 0) return rgbe_error(rgbe_format_error, - "missing blank line after FORMAT specifier"); + "missing blank line after FORMAT specifier"); if (fgets(buf,sizeof(buf)/sizeof(buf[0]),fp) == 0) return rgbe_error(rgbe_read_error,NULL); if (sscanf(buf,"-Y %d +X %d",height,width) < 2) @@ -238,7 +236,7 @@ int RGBE_WritePixels(FILE *fp, float *data, int numpixels) while (numpixels-- > 0) { float2rgbe(rgbe,data[RGBE_DATA_RED], - data[RGBE_DATA_GREEN],data[RGBE_DATA_BLUE]); + data[RGBE_DATA_GREEN],data[RGBE_DATA_BLUE]); data += RGBE_DATA_SIZE; if (fwrite(rgbe, sizeof(rgbe), 1, fp) < 1) return rgbe_error(rgbe_write_error,NULL); @@ -255,7 +253,7 @@ int RGBE_ReadPixels(FILE *fp, float *data, int numpixels) if (fread(rgbe, sizeof(rgbe), 1, fp) < 1) return rgbe_error(rgbe_read_error,NULL); rgbe2float(&data[RGBE_DATA_RED],&data[RGBE_DATA_GREEN], - &data[RGBE_DATA_BLUE],rgbe); + &data[RGBE_DATA_BLUE],rgbe); data += RGBE_DATA_SIZE; } return RGBE_RETURN_SUCCESS; @@ -283,34 +281,34 @@ static int RGBE_WriteBytes_RLE(FILE *fp, unsigned char *data, int numbytes) run_count = 1; while( (beg_run + run_count < numbytes) && (run_count < 127) && (data[beg_run] == data[beg_run + run_count])) - run_count++; + run_count++; } /* if data before next big run is a short run then write it as such */ if ((old_run_count > 1)&&(old_run_count == beg_run - cur)) { - buf[0] = 128 + old_run_count; /*write short run*/ + buf[0] = static_cast(128 + old_run_count); /*write short run*/ buf[1] = data[cur]; if (fwrite(buf,sizeof(buf[0])*2,1,fp) < 1) - return rgbe_error(rgbe_write_error,NULL); + return rgbe_error(rgbe_write_error,NULL); cur = beg_run; } /* write out bytes until we reach the start of the next run */ while(cur < beg_run) { nonrun_count = beg_run - cur; - if (nonrun_count > 128) - nonrun_count = 128; - buf[0] = nonrun_count; + if (nonrun_count > 128) + nonrun_count = 128; + buf[0] = static_cast(nonrun_count); if (fwrite(buf,sizeof(buf[0]),1,fp) < 1) - return rgbe_error(rgbe_write_error,NULL); + return rgbe_error(rgbe_write_error,NULL); if (fwrite(&data[cur],sizeof(data[0])*nonrun_count,1,fp) < 1) - return rgbe_error(rgbe_write_error,NULL); + return rgbe_error(rgbe_write_error,NULL); cur += nonrun_count; } /* write out next run if one was found */ if (run_count >= MINRUNLENGTH) { - buf[0] = 128 + run_count; + buf[0] = static_cast(128 + run_count); buf[1] = data[beg_run]; if (fwrite(buf,sizeof(buf[0])*2,1,fp) < 1) - return rgbe_error(rgbe_write_error,NULL); + return rgbe_error(rgbe_write_error,NULL); cur += run_count; } } @@ -319,7 +317,7 @@ static int RGBE_WriteBytes_RLE(FILE *fp, unsigned char *data, int numbytes) } int RGBE_WritePixels_RLE(FILE *fp, float *data, int scanline_width, - int num_scanlines) + int num_scanlines) { unsigned char rgbe[4]; unsigned char *buffer; @@ -329,13 +327,13 @@ int RGBE_WritePixels_RLE(FILE *fp, float *data, int scanline_width, /* run length encoding is not allowed so write flat*/ return RGBE_WritePixels(fp,data,scanline_width*num_scanlines); buffer = (unsigned char *)malloc(sizeof(unsigned char)*4*scanline_width); - if (buffer == NULL) + if (buffer == NULL) /* no buffer space so write flat */ return RGBE_WritePixels(fp,data,scanline_width*num_scanlines); while(num_scanlines-- > 0) { rgbe[0] = 2; rgbe[1] = 2; - rgbe[2] = scanline_width >> 8; + rgbe[2] = static_cast(scanline_width >> 8); rgbe[3] = scanline_width & 0xFF; if (fwrite(rgbe, sizeof(rgbe), 1, fp) < 1) { free(buffer); @@ -343,7 +341,7 @@ int RGBE_WritePixels_RLE(FILE *fp, float *data, int scanline_width, } for(i=0;i 128) { - /* a run of the same value */ - count = buf[0]-128; - if ((count == 0)||(count > ptr_end - ptr)) { - free(scanline_buffer); - return rgbe_error(rgbe_format_error,"bad scanline data"); - } - while(count-- > 0) - *ptr++ = buf[1]; - } - else { - /* a non-run */ - count = buf[0]; - if ((count == 0)||(count > ptr_end - ptr)) { - free(scanline_buffer); - return rgbe_error(rgbe_format_error,"bad scanline data"); - } - *ptr++ = buf[1]; - if (--count > 0) { - if (fread(ptr,sizeof(*ptr)*count,1,fp) < 1) { - free(scanline_buffer); - return rgbe_error(rgbe_read_error,NULL); - } - ptr += count; - } - } + if (fread(buf,sizeof(buf[0])*2,1,fp) < 1) { + free(scanline_buffer); + return rgbe_error(rgbe_read_error,NULL); + } + if (buf[0] > 128) { + /* a run of the same value */ + count = buf[0]-128; + if ((count == 0)||(count > ptr_end - ptr)) { + free(scanline_buffer); + return rgbe_error(rgbe_format_error,"bad scanline data"); + } + while(count-- > 0) + *ptr++ = buf[1]; + } + else { + /* a non-run */ + count = buf[0]; + if ((count == 0)||(count > ptr_end - ptr)) { + free(scanline_buffer); + return rgbe_error(rgbe_format_error,"bad scanline data"); + } + *ptr++ = buf[1]; + if (--count > 0) { + if (fread(ptr,sizeof(*ptr)*count,1,fp) < 1) { + free(scanline_buffer); + return rgbe_error(rgbe_read_error,NULL); + } + ptr += count; + } + } } } /* now convert data from buffer into floats */ @@ -442,7 +440,7 @@ int RGBE_ReadPixels_RLE(FILE *fp, float *data, int scanline_width, rgbe[2] = scanline_buffer[i+2*scanline_width]; rgbe[3] = scanline_buffer[i+3*scanline_width]; rgbe2float(&data[RGBE_DATA_RED],&data[RGBE_DATA_GREEN], - &data[RGBE_DATA_BLUE],rgbe); + &data[RGBE_DATA_BLUE],rgbe); data += RGBE_DATA_SIZE; } num_scanlines--; @@ -450,4 +448,3 @@ int RGBE_ReadPixels_RLE(FILE *fp, float *data, int scanline_width, free(scanline_buffer); return RGBE_RETURN_SUCCESS; } - diff --git a/modules/highgui/src/rgbe.hpp b/modules/highgui/src/rgbe.hpp index 35df0a510..06169ff16 100644 --- a/modules/highgui/src/rgbe.hpp +++ b/modules/highgui/src/rgbe.hpp @@ -51,13 +51,13 @@ typedef struct { int valid; /* indicate which fields are valid */ - char programtype[16]; /* listed at beginning of file to identify it - * after "#?". defaults to "RGBE" */ - float gamma; /* image has already been gamma corrected with + char programtype[16]; /* listed at beginning of file to identify it + * after "#?". defaults to "RGBE" */ + float gamma; /* image has already been gamma corrected with * given gamma. defaults to 1.0 (no correction) */ float exposure; /* a value of 1.0 in an image corresponds to - * watts/steradian/m^2. - * defaults to 1.0 */ + * watts/steradian/m^2. + * defaults to 1.0 */ } rgbe_header_info; /* flags indicating which fields in an rgbe_header_info are valid */ @@ -82,11 +82,8 @@ int RGBE_ReadPixels(FILE *fp, float *data, int numpixels); /* read or write run length encoded files */ /* must be called to read or write whole scanlines */ int RGBE_WritePixels_RLE(FILE *fp, float *data, int scanline_width, - int num_scanlines); + int num_scanlines); int RGBE_ReadPixels_RLE(FILE *fp, float *data, int scanline_width, - int num_scanlines); + int num_scanlines); #endif/*_RGBE_HDR_H_*/ - - - diff --git a/modules/highgui/test/test_grfmt.cpp b/modules/highgui/test/test_grfmt.cpp index 4db0d46c5..d670fa3da 100644 --- a/modules/highgui/test/test_grfmt.cpp +++ b/modules/highgui/test/test_grfmt.cpp @@ -479,11 +479,7 @@ TEST(Highgui_WebP, encode_decode_lossless_webp) TEST(Highgui_WebP, encode_decode_lossy_webp) { cvtest::TS& ts = *cvtest::TS::ptr(); -<<<<<<< HEAD - string input = string(ts.get_data_path()) + "/../cv/shared/lena.png"; -======= std::string input = std::string(ts.get_data_path()) + "../cv/shared/lena.png"; ->>>>>>> 99a43257d5912ff215016e1cf5f4e0c2a934b72f cv::Mat img = cv::imread(input); ASSERT_FALSE(img.empty()); @@ -533,24 +529,24 @@ TEST(Highgui_WebP, encode_decode_with_alpha_webp) TEST(Highgui_Hdr, regression) { string folder = string(cvtest::TS::ptr()->get_data_path()) + "/readwrite/"; - string name_rle = folder + "rle.hdr"; - string name_no_rle = folder + "no_rle.hdr"; - Mat img_rle = imread(name_rle, -1); - ASSERT_FALSE(img_rle.empty()) << "Could not open " << name_rle; - Mat img_no_rle = imread(name_no_rle, -1); - ASSERT_FALSE(img_no_rle.empty()) << "Could not open " << name_no_rle; + string name_rle = folder + "rle.hdr"; + string name_no_rle = folder + "no_rle.hdr"; + Mat img_rle = imread(name_rle, -1); + ASSERT_FALSE(img_rle.empty()) << "Could not open " << name_rle; + Mat img_no_rle = imread(name_no_rle, -1); + ASSERT_FALSE(img_no_rle.empty()) << "Could not open " << name_no_rle; - double min = 0.0, max = 1.0; - minMaxLoc(abs(img_rle - img_no_rle), &min, &max); + double min = 0.0, max = 1.0; + minMaxLoc(abs(img_rle - img_no_rle), &min, &max); ASSERT_FALSE(max > DBL_EPSILON); - string tmp_file_name = tempfile(".hdr"); - vectorparam(1); - for(int i = 0; i < 2; i++) { - param[0] = i; - imwrite(tmp_file_name, img_rle, param); - Mat written_img = imread(tmp_file_name, -1); - ASSERT_FALSE(written_img.empty()) << "Could not open " << tmp_file_name; - minMaxLoc(abs(img_rle - written_img), &min, &max); + string tmp_file_name = tempfile(".hdr"); + vectorparam(1); + for(int i = 0; i < 2; i++) { + param[0] = i; + imwrite(tmp_file_name, img_rle, param); + Mat written_img = imread(tmp_file_name, -1); + ASSERT_FALSE(written_img.empty()) << "Could not open " << tmp_file_name; + minMaxLoc(abs(img_rle - written_img), &min, &max); ASSERT_FALSE(max > DBL_EPSILON); - } + } } diff --git a/modules/photo/doc/hdr_imaging.rst b/modules/photo/doc/hdr_imaging.rst index 042f88833..bcd962f86 100644 --- a/modules/photo/doc/hdr_imaging.rst +++ b/modules/photo/doc/hdr_imaging.rst @@ -27,14 +27,14 @@ Creates simple linear mapper with gamma correction .. ocv:function:: Ptr createTonemap(float gamma = 1.0f) :param gamma: positive value for gamma correction. Gamma value of 1.0 implies no correction, gamma equal to 2.2f is suitable for most displays. - + Generally gamma > 1 brightens the image and gamma < 1 darkens it. - + TonemapDrago --------------------------- .. ocv:class:: TonemapDrago : public Tonemap -Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain. +Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain. Since it's a global operator the same function is applied to all the pixels, it is controlled by the bias parameter. @@ -46,19 +46,19 @@ createTonemapDrago --------------------------- Creates TonemapDrago object -.. ocv:function:: Ptr createTonemapDrago(float gamma = 1.0f, float bias = 0.85f) +.. ocv:function:: Ptr createTonemapDrago(float gamma = 1.0f, float saturation = 1.0f, float bias = 0.85f) :param gamma: gamma value for gamma correction. See :ocv:func:`createTonemap` - + :param saturation: positive saturation enhancement value. 1.0 preserves saturation, values greater than 1 increase saturation and values less than 1 decrease it. - + :param bias: value for bias function in [0, 1] range. Values from 0.7 to 0.9 usually give best results, default value is 0.85. - + TonemapDurand --------------------------- .. ocv:class:: TonemapDurand : public Tonemap -This algorithm decomposes image into two layers: base layer and detail layer using bilateral filter and compresses contrast of the base layer thus preserving all the details. +This algorithm decomposes image into two layers: base layer and detail layer using bilateral filter and compresses contrast of the base layer thus preserving all the details. This implementation uses regular bilateral filter from opencv. @@ -73,39 +73,39 @@ Creates TonemapDurand object .. ocv:function:: Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f) :param gamma: gamma value for gamma correction. See :ocv:func:`createTonemap` - - :param contrast: resulting contrast on logarithmic scale, i. e. log(max / min), where max and min are maximum and minimum luminance values of the resulting image. - - :param saturation: saturation enhancement value. See :ocv:func:`createTonemapDrago` - - :param sigma_space: bilateral filter sigma in color space - - :param sigma_color: bilateral filter sigma in coordinate space - -TonemapReinhardDevlin ---------------------------- -.. ocv:class:: TonemapReinhardDevlin : public Tonemap -This is a global tonemapping operator that models human visual system. + :param contrast: resulting contrast on logarithmic scale, i. e. log(max / min), where max and min are maximum and minimum luminance values of the resulting image. + + :param saturation: saturation enhancement value. See :ocv:func:`createTonemapDrago` + + :param sigma_space: bilateral filter sigma in color space + + :param sigma_color: bilateral filter sigma in coordinate space + +TonemapReinhard +--------------------------- +.. ocv:class:: TonemapReinhard : public Tonemap + +This is a global tonemapping operator that models human visual system. Mapping function is controlled by adaptation parameter, that is computed using light adaptation and color adaptation. For more information see [RD05]_. -createTonemapReinhardDevlin +createTonemapReinhard --------------------------- -Creates TonemapReinhardDevlin object +Creates TonemapReinhard object -.. ocv:function:: Ptr createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f) +.. ocv:function:: Ptr createTonemapReinhard(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f) :param gamma: gamma value for gamma correction. See :ocv:func:`createTonemap` - + :param intensity: result intensity in [-8, 8] range. Greater intensity produces brighter results. - + :param light_adapt: light adaptation in [0, 1] range. If 1 adaptation is based only on pixel value, if 0 it's global, otherwise it's a weighted mean of this two cases. - + :param color_adapt: chromatic adaptation in [0, 1] range. If 1 channels are treated independently, if 0 adaptation level is the same for each channel. - + TonemapMantiuk --------------------------- .. ocv:class:: TonemapMantiuk : public Tonemap @@ -122,34 +122,34 @@ Creates TonemapMantiuk object .. ocv:function:: Ptr createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f) :param gamma: gamma value for gamma correction. See :ocv:func:`createTonemap` - + :param scale: contrast scale factor. HVS response is multiplied by this parameter, thus compressing dynamic range. Values from 0.6 to 0.9 produce best results. - + :param saturation: saturation enhancement value. See :ocv:func:`createTonemapDrago` - -ExposureAlign + +AlignExposures --------------------------- -.. ocv:class:: ExposureAlign : public Algorithm +.. ocv:class:: AlignExposures : public Algorithm The base class for algorithms that align images of the same scene with different exposures -ExposureAlign::process +AlignExposures::process --------------------------- Aligns images -.. ocv:function:: void ExposureAlign::process(InputArrayOfArrays src, OutputArrayOfArrays dst, const std::vector& times, InputArray response) +.. ocv:function:: void AlignExposures::process(InputArrayOfArrays src, std::vector& dst, InputArray times, InputArray response) :param src: vector of input images - + :param dst: vector of aligned images - + :param times: vector of exposure time values for each image - + :param response: 256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images. - + AlignMTB --------------------------- -.. ocv:class:: AlignMTB : public ExposureAlign +.. ocv:class:: AlignMTB : public AlignExposures This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminance and 0 otherwise) and than aligns the resulting bitmaps using bit operations. @@ -163,81 +163,79 @@ AlignMTB::process --------------------------- Short version of process, that doesn't take extra arguments. -.. ocv:function:: void AlignMTB::process(InputArrayOfArrays src, OutputArrayOfArrays dst) +.. ocv:function:: void AlignMTB::process(InputArrayOfArrays src, std::vector& dst) :param src: vector of input images - + :param dst: vector of aligned images AlignMTB::calculateShift --------------------------- Calculates shift between two images, i. e. how to shift the second image to correspond it with the first. -.. ocv:function:: void AlignMTB::calculateShift(InputArray img0, InputArray img1, Point& shift) +.. ocv:function:: Point AlignMTB::calculateShift(InputArray img0, InputArray img1) :param img0: first image - + :param img1: second image - - :param shift: calculated shift AlignMTB::shiftMat --------------------------- Helper function, that shift Mat filling new regions with zeros. - + .. ocv:function:: void AlignMTB::shiftMat(InputArray src, OutputArray dst, const Point shift) :param src: input image - + :param dst: result image - + :param shift: shift value AlignMTB::computeBitmaps --------------------------- Computes median threshold and exclude bitmaps of given image. - -.. ocv:function:: void computeBitmaps(Mat& img, Mat& tb, Mat& eb) + +.. ocv:function:: void AlignMTB::computeBitmaps(InputArray img, OutputArray tb, OutputArray eb) :param img: input image - + :param tb: median threshold bitmap - + :param eb: exclude bitmap - + createAlignMTB --------------------------- Creates AlignMTB object .. ocv:function:: Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4, bool cut = true) - + :param max_bits: logarithm to the base 2 of maximal shift in each dimension. Values of 5 and 6 are usually good enough (31 and 63 pixels shift respectively). - + :param exclude_range: range for exclusion bitmap that is constructed to suppress noise around the median value. - + :param cut: if true cuts images, otherwise fills the new regions with zeros. - -ExposureCalibrate + +CalibrateCRF --------------------------- -.. ocv:class:: ExposureCalibrate : public Algorithm +.. ocv:class:: CalibrateCRF : public Algorithm The base class for camera response calibration algorithms. -ExposureCalibrate::process +CalibrateCRF::process --------------------------- Recovers inverse camera response. -.. ocv:function:: void ExposureCalibrate::process(InputArrayOfArrays src, OutputArray dst, std::vector& times) +.. ocv:function:: void CalibrateCRF::process(InputArrayOfArrays src, OutputArray dst, InputArray times) :param src: vector of input images - + :param dst: 256x1 matrix with inverse camera response function - + :param times: vector of exposure time values for each image - + CalibrateDebevec --------------------------- -.. ocv:class:: CalibrateDebevec : public ExposureCalibrate +.. ocv:class:: CalibrateDebevec : public CalibrateCRF Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. Objective function is constructed using pixel values on the same position in all images, extra term is added to make the result smoother. @@ -251,14 +249,14 @@ Creates CalibrateDebevec object .. ocv:function:: createCalibrateDebevec(int samples = 70, float lambda = 10.0f, bool random = false) :param samples: number of pixel locations to use - + :param lambda: smoothness term weight. Greater values produce smoother results, but can alter the response. - + :param random: if true sample pixel locations are chosen at random, otherwise the form a rectangular grid. - + CalibrateRobertson --------------------------- -.. ocv:class:: CalibrateRobertson : public ExposureCalibrate +.. ocv:class:: CalibrateRobertson : public CalibrateCRF Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. This algorithm uses all image pixels. @@ -272,32 +270,32 @@ Creates CalibrateRobertson object .. ocv:function:: createCalibrateRobertson(int max_iter = 30, float threshold = 0.01f) :param max_iter: maximal number of Gauss-Seidel solver iterations. - + :param threshold: target difference between results of two successive steps of the minimization. - -ExposureMerge + +MergeExposures --------------------------- -.. ocv:class:: ExposureMerge : public Algorithm +.. ocv:class:: MergeExposures : public Algorithm The base class algorithms that can merge exposure sequence to a single image. -ExposureMerge::process +MergeExposures::process --------------------------- Merges images. -.. ocv:function:: void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray response) +.. ocv:function:: void MergeExposures::process(InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response) :param src: vector of input images - + :param dst: result image - + :param times: vector of exposure time values for each image - + :param response: 256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images. - + MergeDebevec --------------------------- -.. ocv:class:: MergeDebevec : public ExposureMerge +.. ocv:class:: MergeDebevec : public MergeExposures The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response. @@ -311,7 +309,7 @@ Creates MergeDebevec object MergeMertens --------------------------- -.. ocv:class:: MergeMertens : public ExposureMerge +.. ocv:class:: MergeMertens : public MergeExposures Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids. @@ -328,7 +326,7 @@ Short version of process, that doesn't take extra arguments. .. ocv:function:: void MergeMertens::process(InputArrayOfArrays src, OutputArray dst) :param src: vector of input images - + :param dst: result image createMergeMertens @@ -338,14 +336,14 @@ Creates MergeMertens object .. ocv:function:: Ptr createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f) :param contrast_weight: contrast measure weight. See :ocv:class:`MergeMertens`. - + :param saturation_weight: saturation measure weight - + :param exposure_weight: well-exposedness measure weight MergeRobertson --------------------------- -.. ocv:class:: MergeRobertson : public ExposureMerge +.. ocv:class:: MergeRobertson : public MergeExposures The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response. @@ -356,7 +354,7 @@ createMergeRobertson Creates MergeRobertson object .. ocv:function:: Ptr createMergeRobertson() - + References ========== @@ -364,7 +362,7 @@ References .. [FL02] R. Fattal, D. Lischinski, M. Werman, "Gradient Domain High Dynamic Range Compression", Proceedings OF ACM SIGGRAPH, 2002, 249 - 256. -.. [DD02] F. Durand and Julie Dorsey, "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", ACM Transactions on Graphics, 2002, 21, 3, 257 - –266. +.. [DD02] F. Durand and Julie Dorsey, "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", ACM Transactions on Graphics, 2002, 21, 3, 257 - 266. .. [RD05] E. Reinhard, K. Devlin, "Dynamic Range Reduction Inspired by Photoreceptor Physiology", IEEE Transactions on Visualization and Computer Graphics, 2005, 11, 13 - 24. diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp index f48df802b..beec92923 100644 --- a/modules/photo/include/opencv2/photo.hpp +++ b/modules/photo/include/opencv2/photo.hpp @@ -127,12 +127,12 @@ public: CV_WRAP virtual void setSigmaColor(float sigma_color) = 0; }; -CV_EXPORTS_W Ptr +CV_EXPORTS_W Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); // "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 -class CV_EXPORTS_W TonemapReinhardDevlin : public Tonemap +class CV_EXPORTS_W TonemapReinhard : public Tonemap { public: CV_WRAP virtual float getIntensity() const = 0; @@ -145,8 +145,8 @@ public: CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0; }; -CV_EXPORTS_W Ptr -createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f); +CV_EXPORTS_W Ptr +createTonemapReinhard(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f); // "Perceptual Framework for Contrast Processing of High Dynamic Range Images", Mantiuk et al., 2006 @@ -160,29 +160,29 @@ public: CV_WRAP virtual void setSaturation(float saturation) = 0; }; -CV_EXPORTS_W Ptr +CV_EXPORTS_W Ptr createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f); -class CV_EXPORTS_W ExposureAlign : public Algorithm +class CV_EXPORTS_W AlignExposures : public Algorithm { public: CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst, - const std::vector& times, InputArray response) = 0; + InputArray times, InputArray response) = 0; }; // "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 -class CV_EXPORTS_W AlignMTB : public ExposureAlign +class CV_EXPORTS_W AlignMTB : public AlignExposures { public: CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst, - const std::vector& times, InputArray response) = 0; + InputArray times, InputArray response) = 0; CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst) = 0; - CV_WRAP virtual void calculateShift(InputArray img0, InputArray img1, Point& shift) = 0; + CV_WRAP virtual Point calculateShift(InputArray img0, InputArray img1) = 0; CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0; - CV_WRAP virtual void computeBitmaps(Mat& img, Mat& tb, Mat& eb) = 0; + CV_WRAP virtual void computeBitmaps(InputArray img, OutputArray tb, OutputArray eb) = 0; CV_WRAP virtual int getMaxBits() const = 0; CV_WRAP virtual void setMaxBits(int max_bits) = 0; @@ -196,20 +196,20 @@ public: CV_EXPORTS_W Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4, bool cut = true); -class CV_EXPORTS_W ExposureCalibrate : public Algorithm +class CV_EXPORTS_W CalibrateCRF : public Algorithm { public: - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0; }; // "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 -class CV_EXPORTS_W CalibrateDebevec : public ExposureCalibrate +class CV_EXPORTS_W CalibrateDebevec : public CalibrateCRF { public: CV_WRAP virtual float getLambda() const = 0; CV_WRAP virtual void setLambda(float lambda) = 0; - + CV_WRAP virtual int getSamples() const = 0; CV_WRAP virtual void setSamples(int samples) = 0; @@ -221,46 +221,46 @@ CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 70, floa // "Dynamic range improvement through multiple exposures", Robertson et al., 1999 -class CV_EXPORTS_W CalibrateRobertson : public ExposureCalibrate +class CV_EXPORTS_W CalibrateRobertson : public CalibrateCRF { public: CV_WRAP virtual int getMaxIter() const = 0; CV_WRAP virtual void setMaxIter(int max_iter) = 0; - + CV_WRAP virtual float getThreshold() const = 0; CV_WRAP virtual void setThreshold(float threshold) = 0; - + CV_WRAP virtual Mat getRadiance() const = 0; }; CV_EXPORTS_W Ptr createCalibrateRobertson(int max_iter = 30, float threshold = 0.01f); -class CV_EXPORTS_W ExposureMerge : public Algorithm +class CV_EXPORTS_W MergeExposures : public Algorithm { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; + InputArray times, InputArray response) = 0; }; // "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 -class CV_EXPORTS_W MergeDebevec : public ExposureMerge +class CV_EXPORTS_W MergeDebevec : public MergeExposures { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) = 0; + InputArray times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0; }; CV_EXPORTS_W Ptr createMergeDebevec(); // "Exposure Fusion", Mertens et al., 2007 -class CV_EXPORTS_W MergeMertens : public ExposureMerge +class CV_EXPORTS_W MergeMertens : public MergeExposures { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; + InputArray times, InputArray response) = 0; CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; CV_WRAP virtual float getContrastWeight() const = 0; @@ -273,17 +273,17 @@ public: CV_WRAP virtual void setExposureWeight(float exposure_weight) = 0; }; -CV_EXPORTS_W Ptr +CV_EXPORTS_W Ptr createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f); // "Dynamic range improvement through multiple exposures", Robertson et al., 1999 -class CV_EXPORTS_W MergeRobertson : public ExposureMerge +class CV_EXPORTS_W MergeRobertson : public MergeExposures { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, - const std::vector& times, InputArray response) = 0; - CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) = 0; + InputArray times, InputArray response) = 0; + CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0; }; CV_EXPORTS_W Ptr createMergeRobertson(); diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp index 35c949172..892712c9b 100644 --- a/modules/photo/src/align.cpp +++ b/modules/photo/src/align.cpp @@ -50,16 +50,16 @@ namespace cv class AlignMTBImpl : public AlignMTB { public: - AlignMTBImpl(int max_bits, int exclude_range, bool cut) : - max_bits(max_bits), - exclude_range(exclude_range), - cut(cut), - name("AlignMTB") + AlignMTBImpl(int _max_bits, int _exclude_range, bool _cut) : + name("AlignMTB"), + max_bits(_max_bits), + exclude_range(_exclude_range), + cut(_cut) { } - + void process(InputArrayOfArrays src, std::vector& dst, - const std::vector& times, InputArray response) + InputArray, InputArray) { process(src, dst); } @@ -68,7 +68,7 @@ public: { std::vector src; _src.getMatVector(src); - + checkImageDimensions(src); dst.resize(src.size()); @@ -85,8 +85,7 @@ public: } Mat gray; cvtColor(src[i], gray, COLOR_RGB2GRAY); - Point shift; - calculateShift(gray_base, gray, shift); + Point shift = calculateShift(gray_base, gray); shifts.push_back(shift); shiftMat(src[i], dst[i], shift); } @@ -113,7 +112,7 @@ public: } } - void calculateShift(InputArray _img0, InputArray _img1, Point& shift) + Point calculateShift(InputArray _img0, InputArray _img1) { Mat img0 = _img0.getMat(); Mat img1 = _img1.getMat(); @@ -126,11 +125,11 @@ public: std::vector pyr0; std::vector pyr1; buildPyr(img0, pyr0, maxlevel); - buildPyr(img1, pyr1, maxlevel); - - shift = Point(0, 0); + buildPyr(img1, pyr1, maxlevel); + + Point shift(0, 0); for(int level = maxlevel; level >= 0; level--) { - + shift *= 2; Mat tb1, tb2, eb1, eb2; computeBitmaps(pyr0[level], tb1, eb1); @@ -151,14 +150,15 @@ public: if(err < min_err) { new_shift = test_shift; min_err = err; - } + } } } shift = new_shift; } + return shift; } - void shiftMat(InputArray _src, OutputArray _dst, const Point shift) + void shiftMat(InputArray _src, OutputArray _dst, const Point shift) { Mat src = _src.getMat(); _dst.create(src.size(), src.type()); @@ -186,7 +186,7 @@ public: { fs << "name" << name << "max_bits" << max_bits - << "exclude_range" << exclude_range + << "exclude_range" << exclude_range << "cut" << static_cast(cut); } @@ -197,11 +197,15 @@ public: max_bits = fn["max_bits"]; exclude_range = fn["exclude_range"]; int cut_val = fn["cut"]; - cut = static_cast(cut_val); + cut = (cut_val != 0); } - void computeBitmaps(Mat& img, Mat& tb, Mat& eb) + void computeBitmaps(InputArray _img, OutputArray _tb, OutputArray _eb) { + Mat img = _img.getMat(); + _tb.create(img.size(), CV_8U); + _eb.create(img.size(), CV_8U); + Mat tb = _tb.getMat(), eb = _eb.getMat(); int median = getMedian(img); compare(img, median, tb, CMP_GT); compare(abs(img - median), exclude_range, eb, CMP_GT); @@ -230,7 +234,7 @@ protected: } } - void buildPyr(Mat& img, std::vector& pyr, int maxlevel) + void buildPyr(Mat& img, std::vector& pyr, int maxlevel) { pyr.resize(maxlevel + 1); pyr[0] = img.clone(); @@ -242,7 +246,7 @@ protected: int getMedian(Mat& img) { int channels = 0; - Mat hist; + Mat hist; int hist_size = LDR_SIZE; float range[] = {0, LDR_SIZE} ; const float* ranges[] = {range}; @@ -260,8 +264,7 @@ protected: Ptr createAlignMTB(int max_bits, int exclude_range, bool cut) { - return new AlignMTBImpl(max_bits, exclude_range, cut); + return makePtr(max_bits, exclude_range, cut); } } - diff --git a/modules/photo/src/calibrate.cpp b/modules/photo/src/calibrate.cpp index 372c3e720..89ff6338b 100644 --- a/modules/photo/src/calibrate.cpp +++ b/modules/photo/src/calibrate.cpp @@ -48,25 +48,26 @@ namespace cv { - + class CalibrateDebevecImpl : public CalibrateDebevec { public: - CalibrateDebevecImpl(int samples, float lambda, bool random) : - samples(samples), - lambda(lambda), + CalibrateDebevecImpl(int _samples, float _lambda, bool _random) : name("CalibrateDebevec"), - w(tringleWeights()), - random(random) + samples(_samples), + lambda(_lambda), + random(_random), + w(tringleWeights()) { } - - void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) + + void process(InputArrayOfArrays src, OutputArray dst, InputArray _times) { std::vector images; src.getMatVector(images); + Mat times = _times.getMat(); - CV_Assert(images.size() == times.size()); + CV_Assert(images.size() == times.total()); checkImageDimensions(images); CV_Assert(images[0].depth() == CV_8U); @@ -75,14 +76,14 @@ public: dst.create(LDR_SIZE, 1, CV_32FCC); Mat result = dst.getMat(); - + std::vector sample_points; if(random) { for(int i = 0; i < samples; i++) { sample_points.push_back(Point(rand() % images[0].cols, rand() % images[0].rows)); } } else { - int x_points = sqrt(static_cast(samples) * images[0].cols / images[0].rows); + int x_points = static_cast(sqrt(static_cast(samples) * images[0].cols / images[0].rows)); int y_points = samples / x_points; int step_x = images[0].cols / x_points; int step_y = images[0].rows / y_points; @@ -106,7 +107,7 @@ public: int val = images[j].ptr()[3*(sample_points[i].y * images[j].cols + sample_points[j].x) + channel]; A.at(eq, val) = w.at(val); A.at(eq, LDR_SIZE + i) = -w.at(val); - B.at(eq, 0) = w.at(val) * log(times[j]); + B.at(eq, 0) = w.at(val) * log(times.at(j)); eq++; } } @@ -151,7 +152,7 @@ public: samples = fn["samples"]; lambda = fn["lambda"]; int random_val = fn["random"]; - random = static_cast(random_val); + random = (random_val != 0); } protected: @@ -164,26 +165,27 @@ protected: Ptr createCalibrateDebevec(int samples, float lambda, bool random) { - return new CalibrateDebevecImpl(samples, lambda, random); + return makePtr(samples, lambda, random); } class CalibrateRobertsonImpl : public CalibrateRobertson { public: - CalibrateRobertsonImpl(int max_iter, float threshold) : - max_iter(max_iter), - threshold(threshold), + CalibrateRobertsonImpl(int _max_iter, float _threshold) : name("CalibrateRobertson"), + max_iter(_max_iter), + threshold(_threshold), weight(RobertsonWeights()) { } - - void process(InputArrayOfArrays src, OutputArray dst, std::vector& times) + + void process(InputArrayOfArrays src, OutputArray dst, InputArray _times) { std::vector images; src.getMatVector(images); + Mat times = _times.getMat(); - CV_Assert(images.size() == times.size()); + CV_Assert(images.size() == times.total()); checkImageDimensions(images); CV_Assert(images[0].depth() == CV_8U); @@ -205,7 +207,7 @@ public: } card = 1.0 / card; - Ptr merge = createMergeRobertson(); + Ptr merge = createMergeRobertson(); for(int iter = 0; iter < max_iter; iter++) { radiance = Mat::zeros(images[0].size(), CV_32FCC); @@ -217,7 +219,7 @@ public: float* rad_ptr = radiance.ptr(); for(size_t pos = 0; pos < images[i].total(); pos++) { for(int c = 0; c < channels; c++, ptr++, rad_ptr++) { - new_response.at(*ptr)[c] += times[i] * *rad_ptr; + new_response.at(*ptr)[c] += times.at(i) * *rad_ptr; } } } @@ -228,7 +230,7 @@ public: new_response.at(i)[c] /= middle; } } - float diff = sum(sum(abs(new_response - response)))[0] / channels; + float diff = static_cast(sum(sum(abs(new_response - response)))[0] / channels); new_response.copyTo(response); if(diff < threshold) { break; @@ -268,7 +270,7 @@ protected: Ptr createCalibrateRobertson(int max_iter, float threshold) { - return new CalibrateRobertsonImpl(max_iter, threshold); + return makePtr(max_iter, threshold); } -} \ No newline at end of file +} diff --git a/modules/photo/src/hdr_common.cpp b/modules/photo/src/hdr_common.cpp index 27512587b..6b67a58e0 100644 --- a/modules/photo/src/hdr_common.cpp +++ b/modules/photo/src/hdr_common.cpp @@ -97,7 +97,7 @@ Mat linearResponse(int channels) { Mat response = Mat(LDR_SIZE, 1, CV_MAKETYPE(CV_32F, channels)); for(int i = 0; i < LDR_SIZE; i++) { - response.at(i) = Vec3f::all(i); + response.at(i) = Vec3f::all(static_cast(i)); } return response; } diff --git a/modules/photo/src/merge.cpp b/modules/photo/src/merge.cpp index c2470217c..1552161c9 100644 --- a/modules/photo/src/merge.cpp +++ b/modules/photo/src/merge.cpp @@ -55,13 +55,14 @@ public: weights(tringleWeights()) { } - - void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray input_response) + + void process(InputArrayOfArrays src, OutputArray dst, InputArray _times, InputArray input_response) { std::vector images; src.getMatVector(images); + Mat times = _times.getMat(); - CV_Assert(images.size() == times.size()); + CV_Assert(images.size() == times.total()); checkImageDimensions(images); CV_Assert(images[0].depth() == CV_8U); @@ -79,12 +80,12 @@ public: response.at(0) = response.at(1); } log(response, response); - CV_Assert(response.rows == LDR_SIZE && response.cols == 1 && + CV_Assert(response.rows == LDR_SIZE && response.cols == 1 && response.channels() == channels); Mat exp_values(times); log(exp_values, exp_values); - + result = Mat::zeros(size, CV_32FCC); std::vector result_split; split(result, result_split); @@ -117,7 +118,7 @@ public: exp(result, result); } - void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) + void process(InputArrayOfArrays src, OutputArray dst, InputArray times) { process(src, dst, times, Mat()); } @@ -129,21 +130,21 @@ protected: Ptr createMergeDebevec() { - return new MergeDebevecImpl; + return makePtr(); } class MergeMertensImpl : public MergeMertens { public: - MergeMertensImpl(float wcon, float wsat, float wexp) : - wcon(wcon), - wsat(wsat), - wexp(wexp), - name("MergeMertens") + MergeMertensImpl(float _wcon, float _wsat, float _wexp) : + name("MergeMertens"), + wcon(_wcon), + wsat(_wsat), + wexp(_wexp) { } - - void process(InputArrayOfArrays src, OutputArrayOfArrays dst, const std::vector& times, InputArray response) + + void process(InputArrayOfArrays src, OutputArrayOfArrays dst, InputArray, InputArray) { process(src, dst); } @@ -217,7 +218,7 @@ public: weights[i] /= weight_sum; Mat img; images[i].convertTo(img, CV_32F, 1.0f/255.0f); - + std::vector img_pyr, weight_pyr; buildPyramid(img, img_pyr, maxlevel); buildPyramid(weights[i], weight_pyr, maxlevel); @@ -283,7 +284,7 @@ protected: Ptr createMergeMertens(float wcon, float wsat, float wexp) { - return new MergeMertensImpl(wcon, wsat, wexp); + return makePtr(wcon, wsat, wexp); } class MergeRobertsonImpl : public MergeRobertson @@ -294,13 +295,14 @@ public: weight(RobertsonWeights()) { } - - void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times, InputArray input_response) + + void process(InputArrayOfArrays src, OutputArray dst, InputArray _times, InputArray input_response) { std::vector images; src.getMatVector(images); + Mat times = _times.getMat(); - CV_Assert(images.size() == times.size()); + CV_Assert(images.size() == times.total()); checkImageDimensions(images); CV_Assert(images[0].depth() == CV_8U); @@ -312,11 +314,12 @@ public: Mat response = input_response.getMat(); if(response.empty()) { - response = linearResponse(channels) / (LDR_SIZE / 2.0f); + float middle = LDR_SIZE / 2.0f; + response = linearResponse(channels) / middle; } - CV_Assert(response.rows == LDR_SIZE && response.cols == 1 && + CV_Assert(response.rows == LDR_SIZE && response.cols == 1 && response.channels() == channels); - + result = Mat::zeros(images[0].size(), CV_32FCC); Mat wsum = Mat::zeros(images[0].size(), CV_32FCC); for(size_t i = 0; i < images.size(); i++) { @@ -324,13 +327,13 @@ public: LUT(images[i], weight, w); LUT(images[i], response, im); - result += times[i] * w.mul(im); - wsum += pow(times[i], 2) * w; + result += times.at(i) * w.mul(im); + wsum += times.at(i) * times.at(i) * w; } result = result.mul(1 / wsum); } - void process(InputArrayOfArrays src, OutputArray dst, const std::vector& times) + void process(InputArrayOfArrays src, OutputArray dst, InputArray times) { process(src, dst, times, Mat()); } @@ -342,7 +345,7 @@ protected: Ptr createMergeRobertson() { - return new MergeRobertsonImpl; + return makePtr(); } } diff --git a/modules/photo/src/tonemap.cpp b/modules/photo/src/tonemap.cpp index 1fd08954d..2b56b35d6 100644 --- a/modules/photo/src/tonemap.cpp +++ b/modules/photo/src/tonemap.cpp @@ -50,17 +50,17 @@ namespace cv class TonemapImpl : public Tonemap { public: - TonemapImpl(float gamma) : gamma(gamma), name("Tonemap") + TonemapImpl(float _gamma) : name("Tonemap"), gamma(_gamma) { } - void process(InputArray _src, OutputArray _dst) + void process(InputArray _src, OutputArray _dst) { Mat src = _src.getMat(); CV_Assert(!src.empty()); _dst.create(src.size(), CV_32FC3); Mat dst = _dst.getMat(); - + double min, max; minMaxLoc(src, &min, &max); if(max - min > DBL_EPSILON) { @@ -95,27 +95,27 @@ protected: Ptr createTonemap(float gamma) { - return new TonemapImpl(gamma); + return makePtr(gamma); } class TonemapDragoImpl : public TonemapDrago { public: - TonemapDragoImpl(float gamma, float saturation, float bias) : - gamma(gamma), - saturation(saturation), - bias(bias), - name("TonemapDrago") + TonemapDragoImpl(float _gamma, float _saturation, float _bias) : + name("TonemapDrago"), + gamma(_gamma), + saturation(_saturation), + bias(_bias) { } - void process(InputArray _src, OutputArray _dst) + void process(InputArray _src, OutputArray _dst) { Mat src = _src.getMat(); CV_Assert(!src.empty()); _dst.create(src.size(), CV_32FC3); Mat img = _dst.getMat(); - + Ptr linear = createTonemap(1.0f); linear->process(src, img); @@ -139,7 +139,7 @@ public: div.release(); mapLuminance(img, img, gray_img, map, saturation); - + linear->setGamma(gamma); linear->process(img, img); } @@ -177,23 +177,23 @@ protected: Ptr createTonemapDrago(float gamma, float saturation, float bias) { - return new TonemapDragoImpl(gamma, saturation, bias); + return makePtr(gamma, saturation, bias); } - + class TonemapDurandImpl : public TonemapDurand { public: - TonemapDurandImpl(float gamma, float contrast, float saturation, float sigma_color, float sigma_space) : - gamma(gamma), - contrast(contrast), - saturation(saturation), - sigma_color(sigma_color), - sigma_space(sigma_space), - name("TonemapDurand") + TonemapDurandImpl(float _gamma, float _contrast, float _saturation, float _sigma_color, float _sigma_space) : + name("TonemapDurand"), + gamma(_gamma), + contrast(_contrast), + saturation(_saturation), + sigma_color(_sigma_color), + sigma_space(_sigma_space) { } - void process(InputArray _src, OutputArray _dst) + void process(InputArray _src, OutputArray _dst) { Mat src = _src.getMat(); CV_Assert(!src.empty()); @@ -208,7 +208,7 @@ public: log(gray_img, log_img); Mat map_img; bilateralFilter(log_img, map_img, -1, sigma_color, sigma_space); - + double min, max; minMaxLoc(map_img, &min, &max); float scale = contrast / static_cast(max - min); @@ -238,8 +238,8 @@ public: { fs << "name" << name << "gamma" << gamma - << "contrast" << contrast - << "sigma_color" << sigma_color + << "contrast" << contrast + << "sigma_color" << sigma_color << "sigma_space" << sigma_space << "saturation" << saturation; } @@ -257,23 +257,23 @@ public: protected: String name; - float gamma, saturation, contrast, sigma_color, sigma_space; + float gamma, contrast, saturation, sigma_color, sigma_space; }; Ptr createTonemapDurand(float gamma, float contrast, float saturation, float sigma_color, float sigma_space) { - return new TonemapDurandImpl(gamma, contrast, saturation, sigma_color, sigma_space); + return makePtr(gamma, contrast, saturation, sigma_color, sigma_space); } -class TonemapReinhardDevlinImpl : public TonemapReinhardDevlin +class TonemapReinhardImpl : public TonemapReinhard { public: - TonemapReinhardDevlinImpl(float gamma, float intensity, float light_adapt, float color_adapt) : - gamma(gamma), - intensity(intensity), - light_adapt(light_adapt), - color_adapt(color_adapt), - name("TonemapReinhardDevlin") + TonemapReinhardImpl(float _gamma, float _intensity, float _light_adapt, float _color_adapt) : + name("TonemapReinhard"), + gamma(_gamma), + intensity(_intensity), + light_adapt(_light_adapt), + color_adapt(_color_adapt) { } @@ -285,7 +285,7 @@ public: Mat img = _dst.getMat(); Ptr linear = createTonemap(1.0f); linear->process(src, img); - + Mat gray_img; cvtColor(img, gray_img, COLOR_RGB2GRAY); Mat log_img; @@ -310,11 +310,11 @@ public: Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img; adapt = light_adapt * adapt + (1.0f - light_adapt) * global; pow(intensity * adapt, map_key, adapt); - channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); + channels[i] = channels[i].mul(1.0f / (adapt + channels[i])); } gray_img.release(); merge(channels, img); - + linear->setGamma(gamma); linear->process(img, img); } @@ -335,8 +335,8 @@ public: { fs << "name" << name << "gamma" << gamma - << "intensity" << intensity - << "light_adapt" << light_adapt + << "intensity" << intensity + << "light_adapt" << light_adapt << "color_adapt" << color_adapt; } @@ -355,23 +355,23 @@ protected: float gamma, intensity, light_adapt, color_adapt; }; -Ptr createTonemapReinhardDevlin(float gamma, float contrast, float sigma_color, float sigma_space) +Ptr createTonemapReinhard(float gamma, float contrast, float sigma_color, float sigma_space) { - return new TonemapReinhardDevlinImpl(gamma, contrast, sigma_color, sigma_space); + return makePtr(gamma, contrast, sigma_color, sigma_space); } class TonemapMantiukImpl : public TonemapMantiuk { public: - TonemapMantiukImpl(float gamma, float scale, float saturation) : - gamma(gamma), - scale(scale), - saturation(saturation), - name("TonemapMantiuk") + TonemapMantiukImpl(float _gamma, float _scale, float _saturation) : + name("TonemapMantiuk"), + gamma(_gamma), + scale(_scale), + saturation(_saturation) { } - void process(InputArray _src, OutputArray _dst) + void process(InputArray _src, OutputArray _dst) { Mat src = _src.getMat(); CV_Assert(!src.empty()); @@ -389,8 +389,8 @@ public: getContrast(log_img, x_contrast, y_contrast); for(size_t i = 0; i < x_contrast.size(); i++) { - mapContrast(x_contrast[i], scale); - mapContrast(y_contrast[i], scale); + mapContrast(x_contrast[i]); + mapContrast(y_contrast[i]); } Mat right(src.size(), CV_32F); @@ -442,7 +442,7 @@ public: { fs << "name" << name << "gamma" << gamma - << "scale" << scale + << "scale" << scale << "saturation" << saturation; } @@ -468,7 +468,7 @@ protected: dst = dst.mul(sign); } - void mapContrast(Mat& contrast, float scale) + void mapContrast(Mat& contrast) { const float response_power = 0.4185f; signedPow(contrast, response_power, contrast); @@ -525,7 +525,7 @@ protected: Ptr createTonemapMantiuk(float gamma, float scale, float saturation) { - return new TonemapMantiukImpl(gamma, scale, saturation); + return makePtr(gamma, scale, saturation); } } diff --git a/modules/photo/test/test_hdr.cpp b/modules/photo/test/test_hdr.cpp index 460b7692c..d095c01ce 100644 --- a/modules/photo/test/test_hdr.cpp +++ b/modules/photo/test/test_hdr.cpp @@ -47,186 +47,185 @@ using namespace cv; using namespace std; -void loadImage(string path, Mat &img) +void loadImage(string path, Mat &img) { - img = imread(path, -1); - ASSERT_FALSE(img.empty()) << "Could not load input image " << path; + img = imread(path, -1); + ASSERT_FALSE(img.empty()) << "Could not load input image " << path; } void checkEqual(Mat img0, Mat img1, double threshold) { - double max = 1.0; - minMaxLoc(abs(img0 - img1), NULL, &max); - ASSERT_FALSE(max > threshold) << max; + double max = 1.0; + minMaxLoc(abs(img0 - img1), NULL, &max); + ASSERT_FALSE(max > threshold) << max; } static vector DEFAULT_VECTOR; void loadExposureSeq(String path, vector& images, vector& times = DEFAULT_VECTOR) { ifstream list_file((path + "list.txt").c_str()); - ASSERT_TRUE(list_file.is_open()); - string name; - float val; - while(list_file >> name >> val) { - Mat img = imread(path + name); - ASSERT_FALSE(img.empty()) << "Could not load input image " << path + name; - images.push_back(img); - times.push_back(1 / val); - } - list_file.close(); + ASSERT_TRUE(list_file.is_open()); + string name; + float val; + while(list_file >> name >> val) { + Mat img = imread(path + name); + ASSERT_FALSE(img.empty()) << "Could not load input image " << path + name; + images.push_back(img); + times.push_back(1 / val); + } + list_file.close(); } void loadResponseCSV(String path, Mat& response) { - response = Mat(256, 1, CV_32FC3); + response = Mat(256, 1, CV_32FC3); ifstream resp_file(path.c_str()); - for(int i = 0; i < 256; i++) { - for(int c = 0; c < 3; c++) { - resp_file >> response.at(i)[c]; + for(int i = 0; i < 256; i++) { + for(int c = 0; c < 3; c++) { + resp_file >> response.at(i)[c]; resp_file.ignore(1); - } - } - resp_file.close(); + } + } + resp_file.close(); } TEST(Photo_Tonemap, regression) { - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/tonemap/"; - - Mat img, expected, result; - loadImage(test_path + "image.hdr", img); - float gamma = 2.2f; - + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/tonemap/"; + + Mat img, expected, result; + loadImage(test_path + "image.hdr", img); + float gamma = 2.2f; + Ptr linear = createTonemap(gamma); - linear->process(img, result); - loadImage(test_path + "linear.png", expected); - result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 3); + linear->process(img, result); + loadImage(test_path + "linear.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 3); - Ptr drago = createTonemapDrago(gamma); - drago->process(img, result); - loadImage(test_path + "drago.png", expected); - result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 3); + Ptr drago = createTonemapDrago(gamma); + drago->process(img, result); + loadImage(test_path + "drago.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 3); - Ptr durand = createTonemapDurand(gamma); - durand->process(img, result); - loadImage(test_path + "durand.png", expected); - result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 3); + Ptr durand = createTonemapDurand(gamma); + durand->process(img, result); + loadImage(test_path + "durand.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 3); - Ptr reinhard_devlin = createTonemapReinhardDevlin(gamma); - reinhard_devlin->process(img, result); - loadImage(test_path + "reinharddevlin.png", expected); - result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 3); + Ptr reinhard = createTonemapReinhard(gamma); + reinhard->process(img, result); + loadImage(test_path + "reinhard.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 3); - Ptr mantiuk = createTonemapMantiuk(gamma); - mantiuk->process(img, result); - loadImage(test_path + "mantiuk.png", expected); - result.convertTo(result, CV_8UC3, 255); - checkEqual(result, expected, 3); + Ptr mantiuk = createTonemapMantiuk(gamma); + mantiuk->process(img, result); + loadImage(test_path + "mantiuk.png", expected); + result.convertTo(result, CV_8UC3, 255); + checkEqual(result, expected, 3); } TEST(Photo_AlignMTB, regression) { - const int TESTS_COUNT = 100; - string folder = string(cvtest::TS::ptr()->get_data_path()) + "shared/"; - - string file_name = folder + "lena.png"; - Mat img; - loadImage(file_name, img); - cvtColor(img, img, COLOR_RGB2GRAY); + const int TESTS_COUNT = 100; + string folder = string(cvtest::TS::ptr()->get_data_path()) + "shared/"; - int max_bits = 5; - int max_shift = 32; - srand(static_cast(time(0))); - int errors = 0; + string file_name = folder + "lena.png"; + Mat img; + loadImage(file_name, img); + cvtColor(img, img, COLOR_RGB2GRAY); - Ptr align = createAlignMTB(max_bits); + int max_bits = 5; + int max_shift = 32; + srand(static_cast(time(0))); + int errors = 0; - for(int i = 0; i < TESTS_COUNT; i++) { - Point shift(rand() % max_shift, rand() % max_shift); - Mat res; - align->shiftMat(img, res, shift); - Point calc; - align->calculateShift(img, res, calc); - errors += (calc != -shift); - } - ASSERT_TRUE(errors < 5) << errors << " errors"; + Ptr align = createAlignMTB(max_bits); + + for(int i = 0; i < TESTS_COUNT; i++) { + Point shift(rand() % max_shift, rand() % max_shift); + Mat res; + align->shiftMat(img, res, shift); + Point calc = align->calculateShift(img, res); + errors += (calc != -shift); + } + ASSERT_TRUE(errors < 5) << errors << " errors"; } TEST(Photo_MergeMertens, regression) { - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - vector images; + vector images; loadExposureSeq((test_path + "exposures/").c_str() , images); - Ptr merge = createMergeMertens(); + Ptr merge = createMergeMertens(); - Mat result, expected; - loadImage(test_path + "merge/mertens.png", expected); - merge->process(images, result); - result.convertTo(result, CV_8UC3, 255); - checkEqual(expected, result, 3); + Mat result, expected; + loadImage(test_path + "merge/mertens.png", expected); + merge->process(images, result); + result.convertTo(result, CV_8UC3, 255); + checkEqual(expected, result, 3); } TEST(Photo_MergeDebevec, regression) { - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - vector images; - vector times; - Mat response; - loadExposureSeq(test_path + "exposures/", images, times); - loadResponseCSV(test_path + "exposures/response.csv", response); + vector images; + vector times; + Mat response; + loadExposureSeq(test_path + "exposures/", images, times); + loadResponseCSV(test_path + "exposures/response.csv", response); - Ptr merge = createMergeDebevec(); + Ptr merge = createMergeDebevec(); - Mat result, expected; - loadImage(test_path + "merge/debevec.hdr", expected); - merge->process(images, result, times, response); + Mat result, expected; + loadImage(test_path + "merge/debevec.hdr", expected); + merge->process(images, result, times, response); Ptr map = createTonemap(); map->process(result, result); map->process(expected, expected); - checkEqual(expected, result, 1e-2f); + checkEqual(expected, result, 1e-2f); } TEST(Photo_MergeRobertson, regression) { - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - vector images; - vector times; - loadExposureSeq(test_path + "exposures/", images, times); + vector images; + vector times; + loadExposureSeq(test_path + "exposures/", images, times); - Ptr merge = createMergeRobertson(); + Ptr merge = createMergeRobertson(); - Mat result, expected; - loadImage(test_path + "merge/robertson.hdr", expected); - merge->process(images, result, times); + Mat result, expected; + loadImage(test_path + "merge/robertson.hdr", expected); + merge->process(images, result, times); Ptr map = createTonemap(); map->process(result, result); map->process(expected, expected); - checkEqual(expected, result, 1e-2f); + checkEqual(expected, result, 1e-2f); } TEST(Photo_CalibrateDebevec, regression) { - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - vector images; - vector times; - Mat response, expected; - loadExposureSeq(test_path + "exposures/", images, times); + vector images; + vector times; + Mat response, expected; + loadExposureSeq(test_path + "exposures/", images, times); loadResponseCSV(test_path + "calibrate/debevec.csv", expected); - Ptr calibrate = createCalibrateDebevec(); + Ptr calibrate = createCalibrateDebevec(); - calibrate->process(images, response, times); + calibrate->process(images, response, times); Mat diff = abs(response - expected); diff = diff.mul(1.0f / response); double max; @@ -236,15 +235,15 @@ TEST(Photo_CalibrateDebevec, regression) TEST(Photo_CalibrateRobertson, regression) { - string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; + string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/"; - vector images; - vector times; - Mat response, expected; - loadExposureSeq(test_path + "exposures/", images, times); + vector images; + vector times; + Mat response, expected; + loadExposureSeq(test_path + "exposures/", images, times); loadResponseCSV(test_path + "calibrate/robertson.csv", expected); - Ptr calibrate = createCalibrateRobertson(); - calibrate->process(images, response, times); + Ptr calibrate = createCalibrateRobertson(); + calibrate->process(images, response, times); checkEqual(expected, response, 1e-3f); } diff --git a/modules/python/src2/cv2.cpp b/modules/python/src2/cv2.cpp index 9201b7257..e8424f5b1 100644 --- a/modules/python/src2/cv2.cpp +++ b/modules/python/src2/cv2.cpp @@ -137,14 +137,16 @@ typedef Ptr Ptr_StereoSGBM; typedef Ptr Ptr_Tonemap; typedef Ptr Ptr_TonemapDrago; -typedef Ptr Ptr_TonemapReinhardDevlin; +typedef Ptr Ptr_TonemapReinhard; typedef Ptr Ptr_TonemapDurand; typedef Ptr Ptr_TonemapMantiuk; typedef Ptr Ptr_AlignMTB; typedef Ptr Ptr_CalibrateDebevec; typedef Ptr Ptr_CalibrateRobertson; typedef Ptr Ptr_MergeDebevec; +typedef Ptr Ptr_MergeRobertson; typedef Ptr Ptr_MergeMertens; +typedef Ptr Ptr_MergeRobertson; typedef Ptr Ptr_ChannelFeatureBuilder; typedef Ptr Ptr_CLAHE; diff --git a/samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp b/samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp index e16f6d48f..aa84b15d4 100644 --- a/samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp +++ b/samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp @@ -7,21 +7,9 @@ using namespace cv; using namespace std; -void loadExposureSeq(String path, vector& images, vector& times) -{ - path += "/"; - ifstream list_file((path + "list.txt").c_str()); - string name; - float val; - while(list_file >> name >> val) { - Mat img = imread(path + name); - images.push_back(img); - times.push_back(1 / val); - } - list_file.close(); -} +void loadExposureSeq(String, vector&, vector&); -int main(int argc, char**argv) +int main(int, char**argv) { vector images; vector times; @@ -38,14 +26,28 @@ int main(int argc, char**argv) Mat ldr; Ptr tonemap = createTonemapDurand(2.2f); tonemap->process(hdr, ldr); - - Mat fusion; + + Mat fusion; Ptr merge_mertens = createMergeMertens(); merge_mertens->process(images, fusion); - + imwrite("fusion.png", fusion * 255); imwrite("ldr.png", ldr * 255); imwrite("hdr.hdr", hdr); return 0; -} \ No newline at end of file +} + +void loadExposureSeq(String path, vector& images, vector& times) +{ + path = path + std::string("/"); + ifstream list_file((path + "list.txt").c_str()); + string name; + float val; + while(list_file >> name >> val) { + Mat img = imread(path + name); + images.push_back(img); + times.push_back(1 / val); + } + list_file.close(); +} From f0b050fa887762e333081b8741e633b4efad2cc0 Mon Sep 17 00:00:00 2001 From: Alexander Mordvintsev Date: Thu, 19 Sep 2013 18:41:08 +0400 Subject: [PATCH 50/55] exposed LineSegemntDetector to python --- modules/imgproc/include/opencv2/imgproc.hpp | 10 +++++----- modules/python/src2/cv2.cpp | 3 ++- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/modules/imgproc/include/opencv2/imgproc.hpp b/modules/imgproc/include/opencv2/imgproc.hpp index 3b257194d..62d5a8367 100644 --- a/modules/imgproc/include/opencv2/imgproc.hpp +++ b/modules/imgproc/include/opencv2/imgproc.hpp @@ -900,7 +900,7 @@ protected: Point2f bottomRight; }; -class LineSegmentDetector : public Algorithm +class CV_EXPORTS_W LineSegmentDetector : public Algorithm { public: /** @@ -922,7 +922,7 @@ public: * * 1 corresponds to 0.1 mean false alarms * This vector will be calculated _only_ when the objects type is REFINE_ADV */ - virtual void detect(InputArray _image, OutputArray _lines, + CV_WRAP virtual void detect(InputArray _image, OutputArray _lines, OutputArray width = noArray(), OutputArray prec = noArray(), OutputArray nfa = noArray()) = 0; @@ -933,7 +933,7 @@ public: * Should have the size of the image, where the lines were found * @param lines The lines that need to be drawn */ - virtual void drawSegments(InputOutputArray _image, InputArray lines) = 0; + CV_WRAP virtual void drawSegments(InputOutputArray _image, InputArray lines) = 0; /** * Draw both vectors on the image canvas. Uses blue for lines 1 and red for lines 2. @@ -945,13 +945,13 @@ public: * Should have the size of the image, where the lines were found * @return The number of mismatching pixels between lines1 and lines2. */ - virtual int compareSegments(const Size& size, InputArray lines1, InputArray lines2, InputOutputArray _image = noArray()) = 0; + CV_WRAP virtual int compareSegments(const Size& size, InputArray lines1, InputArray lines2, InputOutputArray _image = noArray()) = 0; virtual ~LineSegmentDetector() {}; }; //! Returns a pointer to a LineSegmentDetector class. -CV_EXPORTS Ptr createLineSegmentDetectorPtr( +CV_EXPORTS_W Ptr createLineSegmentDetectorPtr( int _refine = LSD_REFINE_STD, double _scale = 0.8, double _sigma_scale = 0.6, double _quant = 2.0, double _ang_th = 22.5, double _log_eps = 0, double _density_th = 0.7, int _n_bins = 1024); diff --git a/modules/python/src2/cv2.cpp b/modules/python/src2/cv2.cpp index b2bd368a1..f404c0625 100644 --- a/modules/python/src2/cv2.cpp +++ b/modules/python/src2/cv2.cpp @@ -137,7 +137,8 @@ typedef Ptr Ptr_StereoSGBM; typedef Ptr Ptr_ChannelFeatureBuilder; typedef Ptr Ptr_CLAHE; - +typedef Ptr Ptr_LineSegmentDetector; + typedef SimpleBlobDetector::Params SimpleBlobDetector_Params; typedef cvflann::flann_distance_t cvflann_flann_distance_t; From 0a8d62e5fd1696ad2507e5eecb9b8a8b168f167d Mon Sep 17 00:00:00 2001 From: Alexander Mordvintsev Date: Thu, 19 Sep 2013 18:44:11 +0400 Subject: [PATCH 51/55] createLineSegmentDetectorPtr -> createLineSegmentDetector --- modules/imgproc/include/opencv2/imgproc.hpp | 2 +- modules/imgproc/src/lsd.cpp | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/modules/imgproc/include/opencv2/imgproc.hpp b/modules/imgproc/include/opencv2/imgproc.hpp index 62d5a8367..cfc688d0f 100644 --- a/modules/imgproc/include/opencv2/imgproc.hpp +++ b/modules/imgproc/include/opencv2/imgproc.hpp @@ -951,7 +951,7 @@ public: }; //! Returns a pointer to a LineSegmentDetector class. -CV_EXPORTS_W Ptr createLineSegmentDetectorPtr( +CV_EXPORTS_W Ptr createLineSegmentDetector( int _refine = LSD_REFINE_STD, double _scale = 0.8, double _sigma_scale = 0.6, double _quant = 2.0, double _ang_th = 22.5, double _log_eps = 0, double _density_th = 0.7, int _n_bins = 1024); diff --git a/modules/imgproc/src/lsd.cpp b/modules/imgproc/src/lsd.cpp index bb3895448..69362e470 100644 --- a/modules/imgproc/src/lsd.cpp +++ b/modules/imgproc/src/lsd.cpp @@ -388,7 +388,7 @@ private: ///////////////////////////////////////////////////////////////////////////////////////// -CV_EXPORTS Ptr createLineSegmentDetectorPtr( +CV_EXPORTS Ptr createLineSegmentDetector( int _refine, double _scale, double _sigma_scale, double _quant, double _ang_th, double _log_eps, double _density_th, int _n_bins) { From 20fe614c2f97cb75d7103a7290aeeed33e176656 Mon Sep 17 00:00:00 2001 From: Alexander Mordvintsev Date: Thu, 19 Sep 2013 19:06:48 +0400 Subject: [PATCH 52/55] createLineSegmentDetectorPtr -> createLineSegmentDetector in tests and samples --- modules/imgproc/test/test_lsd.cpp | 24 ++++++++++++------------ samples/cpp/lsd_lines.cpp | 4 ++-- 2 files changed, 14 insertions(+), 14 deletions(-) diff --git a/modules/imgproc/test/test_lsd.cpp b/modules/imgproc/test/test_lsd.cpp index 7d8b7f243..82f5b0bce 100644 --- a/modules/imgproc/test/test_lsd.cpp +++ b/modules/imgproc/test/test_lsd.cpp @@ -110,7 +110,7 @@ TEST_F(Imgproc_LSD_ADV, whiteNoise) for (int i = 0; i < EPOCHS; ++i) { GenerateWhiteNoise(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_ADV); + Ptr detector = createLineSegmentDetector(LSD_REFINE_ADV); detector->detect(test_image, lines); if(40u >= lines.size()) ++passedtests; @@ -123,7 +123,7 @@ TEST_F(Imgproc_LSD_ADV, constColor) for (int i = 0; i < EPOCHS; ++i) { GenerateConstColor(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_ADV); + Ptr detector = createLineSegmentDetector(LSD_REFINE_ADV); detector->detect(test_image, lines); if(0u == lines.size()) ++passedtests; @@ -137,7 +137,7 @@ TEST_F(Imgproc_LSD_ADV, lines) { const unsigned int numOfLines = 1; GenerateLines(test_image, numOfLines); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_ADV); + Ptr detector = createLineSegmentDetector(LSD_REFINE_ADV); detector->detect(test_image, lines); if(numOfLines * 2 == lines.size()) ++passedtests; // * 2 because of Gibbs effect @@ -150,7 +150,7 @@ TEST_F(Imgproc_LSD_ADV, rotatedRect) for (int i = 0; i < EPOCHS; ++i) { GenerateRotatedRect(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_ADV); + Ptr detector = createLineSegmentDetector(LSD_REFINE_ADV); detector->detect(test_image, lines); if(2u <= lines.size()) ++passedtests; @@ -163,7 +163,7 @@ TEST_F(Imgproc_LSD_STD, whiteNoise) for (int i = 0; i < EPOCHS; ++i) { GenerateWhiteNoise(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_STD); + Ptr detector = createLineSegmentDetector(LSD_REFINE_STD); detector->detect(test_image, lines); if(50u >= lines.size()) ++passedtests; @@ -176,7 +176,7 @@ TEST_F(Imgproc_LSD_STD, constColor) for (int i = 0; i < EPOCHS; ++i) { GenerateConstColor(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_STD); + Ptr detector = createLineSegmentDetector(LSD_REFINE_STD); detector->detect(test_image, lines); if(0u == lines.size()) ++passedtests; @@ -190,7 +190,7 @@ TEST_F(Imgproc_LSD_STD, lines) { const unsigned int numOfLines = 1; GenerateLines(test_image, numOfLines); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_STD); + Ptr detector = createLineSegmentDetector(LSD_REFINE_STD); detector->detect(test_image, lines); if(numOfLines * 2 == lines.size()) ++passedtests; // * 2 because of Gibbs effect @@ -203,7 +203,7 @@ TEST_F(Imgproc_LSD_STD, rotatedRect) for (int i = 0; i < EPOCHS; ++i) { GenerateRotatedRect(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_STD); + Ptr detector = createLineSegmentDetector(LSD_REFINE_STD); detector->detect(test_image, lines); if(4u <= lines.size()) ++passedtests; @@ -216,7 +216,7 @@ TEST_F(Imgproc_LSD_NONE, whiteNoise) for (int i = 0; i < EPOCHS; ++i) { GenerateWhiteNoise(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_STD); + Ptr detector = createLineSegmentDetector(LSD_REFINE_STD); detector->detect(test_image, lines); if(50u >= lines.size()) ++passedtests; @@ -229,7 +229,7 @@ TEST_F(Imgproc_LSD_NONE, constColor) for (int i = 0; i < EPOCHS; ++i) { GenerateConstColor(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_NONE); + Ptr detector = createLineSegmentDetector(LSD_REFINE_NONE); detector->detect(test_image, lines); if(0u == lines.size()) ++passedtests; @@ -243,7 +243,7 @@ TEST_F(Imgproc_LSD_NONE, lines) { const unsigned int numOfLines = 1; GenerateLines(test_image, numOfLines); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_NONE); + Ptr detector = createLineSegmentDetector(LSD_REFINE_NONE); detector->detect(test_image, lines); if(numOfLines * 2 == lines.size()) ++passedtests; // * 2 because of Gibbs effect @@ -256,7 +256,7 @@ TEST_F(Imgproc_LSD_NONE, rotatedRect) for (int i = 0; i < EPOCHS; ++i) { GenerateRotatedRect(test_image); - Ptr detector = createLineSegmentDetectorPtr(LSD_REFINE_NONE); + Ptr detector = createLineSegmentDetector(LSD_REFINE_NONE); detector->detect(test_image, lines); if(8u <= lines.size()) ++passedtests; diff --git a/samples/cpp/lsd_lines.cpp b/samples/cpp/lsd_lines.cpp index 62692f70b..92452a99c 100644 --- a/samples/cpp/lsd_lines.cpp +++ b/samples/cpp/lsd_lines.cpp @@ -30,9 +30,9 @@ int main(int argc, char** argv) // Create and LSD detector with standard or no refinement. #if 1 - Ptr ls = createLineSegmentDetectorPtr(LSD_REFINE_STD); + Ptr ls = createLineSegmentDetector(LSD_REFINE_STD); #else - Ptr ls = createLineSegmentDetectorPtr(LSD_REFINE_NONE); + Ptr ls = createLineSegmentDetector(LSD_REFINE_NONE); #endif double start = double(getTickCount()); From 851a8a1cd0e5a1717ed2863641c27451c170faee Mon Sep 17 00:00:00 2001 From: Vadim Pisarevsky Date: Mon, 30 Sep 2013 14:31:39 +0400 Subject: [PATCH 53/55] fixed whitespace error --- modules/python/src2/cv2.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/python/src2/cv2.cpp b/modules/python/src2/cv2.cpp index f404c0625..fa5f50211 100644 --- a/modules/python/src2/cv2.cpp +++ b/modules/python/src2/cv2.cpp @@ -138,7 +138,7 @@ typedef Ptr Ptr_StereoSGBM; typedef Ptr Ptr_ChannelFeatureBuilder; typedef Ptr Ptr_CLAHE; typedef Ptr Ptr_LineSegmentDetector; - + typedef SimpleBlobDetector::Params SimpleBlobDetector_Params; typedef cvflann::flann_distance_t cvflann_flann_distance_t; From bc1f9d6268c24ce5de961f7ba58c5cf5997990d4 Mon Sep 17 00:00:00 2001 From: Vadim Pisarevsky Date: Mon, 30 Sep 2013 15:07:32 +0400 Subject: [PATCH 54/55] fixed description of createLineSegmentDetector --- modules/imgproc/doc/feature_detection.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/modules/imgproc/doc/feature_detection.rst b/modules/imgproc/doc/feature_detection.rst index a6d5817dd..87e14d98f 100644 --- a/modules/imgproc/doc/feature_detection.rst +++ b/modules/imgproc/doc/feature_detection.rst @@ -509,11 +509,11 @@ Line segment detector class, following the algorithm described at [Rafael12]_. .. ocv:class:: LineSegmentDetector : public Algorithm -createLineSegmentDetectorPtr ----------------------------- +createLineSegmentDetector +------------------------- Creates a smart pointer to a LineSegmentDetector object and initializes it. -.. ocv:function:: Ptr createLineSegmentDetectorPtr(int _refine = LSD_REFINE_STD, double _scale = 0.8, double _sigma_scale = 0.6, double _quant = 2.0, double _ang_th = 22.5, double _log_eps = 0, double _density_th = 0.7, int _n_bins = 1024) +.. ocv:function:: Ptr createLineSegmentDetector(int _refine = LSD_REFINE_STD, double _scale = 0.8, double _sigma_scale = 0.6, double _quant = 2.0, double _ang_th = 22.5, double _log_eps = 0, double _density_th = 0.7, int _n_bins = 1024) :param _refine: The way found lines will be refined: From ca0956a7e24e2d4fc6307300dc28612ec8bc8b22 Mon Sep 17 00:00:00 2001 From: Vadim Pisarevsky Date: Mon, 30 Sep 2013 16:00:39 +0400 Subject: [PATCH 55/55] this is rewrite of the github patch #674 by chouclee; the goal is to improve polyfit accuracy --- modules/contrib/src/polyfit.cpp | 47 ++++++++++++++++++++------------- 1 file changed, 29 insertions(+), 18 deletions(-) diff --git a/modules/contrib/src/polyfit.cpp b/modules/contrib/src/polyfit.cpp index 4f3412d22..10785c7ea 100644 --- a/modules/contrib/src/polyfit.cpp +++ b/modules/contrib/src/polyfit.cpp @@ -47,26 +47,37 @@ #include "precomp.hpp" +typedef double polyfit_type; + void cv::polyfit(const Mat& src_x, const Mat& src_y, Mat& dst, int order) { - CV_Assert((src_x.rows>0)&&(src_y.rows>0)&&(src_x.cols==1)&&(src_y.cols==1) - &&(dst.cols==1)&&(dst.rows==(order+1))&&(order>=1)); - Mat X; - X = Mat::zeros(src_x.rows, order+1,CV_32FC1); - Mat copy; - for(int i = 0; i <=order;i++) + const int wdepth = DataType::depth; + int npoints = src_x.checkVector(1); + int nypoints = src_y.checkVector(1); + + CV_Assert(npoints == nypoints && npoints >= order+1); + + Mat srcX = Mat_(src_x), srcY = Mat_(src_y); + + Mat X = Mat::zeros(order + 1, npoints, wdepth); + polyfit_type* pSrcX = (polyfit_type*)srcX.data; + polyfit_type* pXData = (polyfit_type*)X.data; + int stepX = (int)(X.step/X.elemSize1()); + for (int y = 0; y < order + 1; ++y) { - copy = src_x.clone(); - pow(copy,i,copy); - Mat M1 = X.col(i); - copy.col(0).copyTo(M1); + for (int x = 0; x < npoints; ++x) + { + if (y == 0) + pXData[x] = 1; + else if (y == 1) + pXData[x + stepX] = pSrcX[x]; + else pXData[x + y*stepX] = pSrcX[x]* pXData[x + (y-1)*stepX]; + } } - Mat X_t, X_inv; - transpose(X,X_t); - Mat temp = X_t*X; - Mat temp2; - invert (temp,temp2); - Mat temp3 = temp2*X_t; - Mat W = temp3*src_y; - W.copyTo(dst); + + Mat A, b, w; + mulTransposed(X, A, false); + b = X*srcY; + solve(A, b, w, DECOMP_SVD); + w.convertTo(dst, std::max(std::max(src_x.depth(), src_y.depth()), CV_32F)); }

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