Doxygen documentation: BiB references and fixes
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@@ -97,7 +97,7 @@ needs to be inpainted.
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by the algorithm.
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@param flags Inpainting method that could be one of the following:
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- **INPAINT_NS** Navier-Stokes based method [Navier01]
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- **INPAINT_TELEA** Method by Alexandru Telea @cite Telea04.
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- **INPAINT_TELEA** Method by Alexandru Telea @cite Telea04 .
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The function reconstructs the selected image area from the pixel near the area boundary. The
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function may be used to remove dust and scratches from a scanned photo, or to remove undesirable
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@@ -220,12 +220,12 @@ as the variational problem, primal-dual algorithm then can be used to perform de
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exactly what is implemented.
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It should be noted, that this implementation was taken from the July 2013 blog entry
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@cite Mordvintsev, which also contained (slightly more general) ready-to-use source code on Python.
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@cite MA13 , which also contained (slightly more general) ready-to-use source code on Python.
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Subsequently, that code was rewritten on C++ with the usage of openCV by Vadim Pisarevsky at the end
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of July 2013 and finally it was slightly adapted by later authors.
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Although the thorough discussion and justification of the algorithm involved may be found in
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@cite ChambolleEtAl, it might make sense to skim over it here, following @cite Mordvintsev. To begin
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@cite ChambolleEtAl, it might make sense to skim over it here, following @cite MA13 . To begin
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with, we consider the 1-byte gray-level images as the functions from the rectangular domain of
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pixels (it may be seen as set
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\f$\left\{(x,y)\in\mathbb{N}\times\mathbb{N}\mid 1\leq x\leq n,\;1\leq y\leq m\right\}\f$ for some
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@@ -290,9 +290,9 @@ logarithmic domain.
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Since it's a global operator the same function is applied to all the pixels, it is controlled by the
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bias parameter.
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Optional saturation enhancement is possible as described in @cite FL02.
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Optional saturation enhancement is possible as described in @cite FL02 .
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For more information see @cite DM03.
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For more information see @cite DM03 .
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*/
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class CV_EXPORTS_W TonemapDrago : public Tonemap
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{
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@@ -322,7 +322,7 @@ This implementation uses regular bilateral filter from opencv.
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Saturation enhancement is possible as in ocvTonemapDrago.
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For more information see @cite DD02.
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For more information see @cite DD02 .
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*/
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class CV_EXPORTS_W TonemapDurand : public Tonemap
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{
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@@ -358,7 +358,7 @@ createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation
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Mapping function is controlled by adaptation parameter, that is computed using light adaptation and
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color adaptation.
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For more information see @cite RD05.
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For more information see @cite RD05 .
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*/
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class CV_EXPORTS_W TonemapReinhard : public Tonemap
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{
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@@ -389,7 +389,7 @@ createTonemapReinhard(float gamma = 1.0f, float intensity = 0.0f, float light_ad
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transforms contrast values to HVS response and scales the response. After this the image is
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reconstructed from new contrast values.
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For more information see @cite MM06.
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For more information see @cite MM06 .
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*/
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class CV_EXPORTS_W TonemapMantiuk : public Tonemap
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{
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@@ -435,7 +435,7 @@ It is invariant to exposure, so exposure values and camera response are not nece
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In this implementation new image regions are filled with zeros.
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For more information see @cite GW03.
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For more information see @cite GW03 .
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*/
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class CV_EXPORTS_W AlignMTB : public AlignExposures
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{
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@@ -510,7 +510,7 @@ public:
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function as linear system. Objective function is constructed using pixel values on the same position
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in all images, extra term is added to make the result smoother.
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For more information see @cite DM97.
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For more information see @cite DM97 .
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*/
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class CV_EXPORTS_W CalibrateDebevec : public CalibrateCRF
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{
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@@ -538,7 +538,7 @@ CV_EXPORTS_W Ptr<CalibrateDebevec> createCalibrateDebevec(int samples = 70, floa
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/** @brief Inverse camera response function is extracted for each brightness value by minimizing an objective
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function as linear system. This algorithm uses all image pixels.
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For more information see @cite RB99.
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For more information see @cite RB99 .
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*/
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class CV_EXPORTS_W CalibrateRobertson : public CalibrateCRF
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{
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@@ -579,7 +579,7 @@ public:
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/** @brief The resulting HDR image is calculated as weighted average of the exposures considering exposure
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values and camera response.
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For more information see @cite DM97.
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For more information see @cite DM97 .
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*/
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class CV_EXPORTS_W MergeDebevec : public MergeExposures
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{
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@@ -602,7 +602,7 @@ well-exposedness measures.
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The resulting image doesn't require tonemapping and can be converted to 8-bit image by multiplying
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by 255, but it's recommended to apply gamma correction and/or linear tonemapping.
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For more information see @cite MK07.
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For more information see @cite MK07 .
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*/
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class CV_EXPORTS_W MergeMertens : public MergeExposures
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{
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@@ -638,7 +638,7 @@ createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f,
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/** @brief The resulting HDR image is calculated as weighted average of the exposures considering exposure
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values and camera response.
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For more information see @cite RB99.
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For more information see @cite RB99 .
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*/
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class CV_EXPORTS_W MergeRobertson : public MergeExposures
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{
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@@ -656,7 +656,7 @@ CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
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/** @brief Transforms a color image to a grayscale image. It is a basic tool in digital printing, stylized
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black-and-white photograph rendering, and in many single channel image processing applications
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@cite CL12.
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@cite CL12 .
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@param src Input 8-bit 3-channel image.
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@param grayscale Output 8-bit 1-channel image.
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@@ -673,7 +673,7 @@ CV_EXPORTS_W void decolor( InputArray src, OutputArray grayscale, OutputArray co
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deformations) or local changes concerned to a selection. Here we are interested in achieving local
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changes, ones that are restricted to a region manually selected (ROI), in a seamless and effortless
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manner. The extent of the changes ranges from slight distortions to complete replacement by novel
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content @cite PM03.
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content @cite PM03 .
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@param src Input 8-bit 3-channel image.
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@param dst Input 8-bit 3-channel image.
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@@ -749,7 +749,7 @@ CV_EXPORTS_W void textureFlattening(InputArray src, InputArray mask, OutputArray
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//! @{
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/** @brief Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing
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filters are used in many different applications @cite EM11.
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filters are used in many different applications @cite EM11 .
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@param src Input 8-bit 3-channel image.
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@param dst Output 8-bit 3-channel image.
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