3ee6db6c81
This commit folks the VP9 and VP10 codebase and makes libvpx support VP8, VP9, and VP10. Change-Id: I81782e0b809acb3c9844bee8c8ec8f4d5e8fa356
225 lines
9.9 KiB
C
225 lines
9.9 KiB
C
/*
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* Copyright (c) 2010 The WebM project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*
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* This code was originally written by: Gregory Maxwell, at the Daala
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* project.
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*/
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#include <stdio.h>
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#include <stdlib.h>
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#include <math.h>
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#include "./vpx_config.h"
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#include "./vp10_rtcd.h"
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#include "./vpx_dsp_rtcd.h"
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#include "vp10/encoder/vp9_ssim.h"
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#if !defined(M_PI)
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# define M_PI (3.141592653589793238462643)
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#endif
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#include <string.h>
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void od_bin_fdct8x8(tran_low_t *y, int ystride, const int16_t *x, int xstride) {
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(void) xstride;
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vpx_fdct8x8(x, y, ystride);
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}
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/* Normalized inverse quantization matrix for 8x8 DCT at the point of
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* transparency. This is not the JPEG based matrix from the paper,
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this one gives a slightly higher MOS agreement.*/
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float csf_y[8][8] = {{1.6193873005, 2.2901594831, 2.08509755623, 1.48366094411,
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1.00227514334, 0.678296995242, 0.466224900598, 0.3265091542}, {2.2901594831,
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1.94321815382, 2.04793073064, 1.68731108984, 1.2305666963, 0.868920337363,
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0.61280991668, 0.436405793551}, {2.08509755623, 2.04793073064,
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1.34329019223, 1.09205635862, 0.875748795257, 0.670882927016,
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0.501731932449, 0.372504254596}, {1.48366094411, 1.68731108984,
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1.09205635862, 0.772819797575, 0.605636379554, 0.48309405692,
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0.380429446972, 0.295774038565}, {1.00227514334, 1.2305666963,
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0.875748795257, 0.605636379554, 0.448996256676, 0.352889268808,
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0.283006984131, 0.226951348204}, {0.678296995242, 0.868920337363,
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0.670882927016, 0.48309405692, 0.352889268808, 0.27032073436,
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0.215017739696, 0.17408067321}, {0.466224900598, 0.61280991668,
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0.501731932449, 0.380429446972, 0.283006984131, 0.215017739696,
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0.168869545842, 0.136153931001}, {0.3265091542, 0.436405793551,
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0.372504254596, 0.295774038565, 0.226951348204, 0.17408067321,
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0.136153931001, 0.109083846276}};
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float csf_cb420[8][8] = {
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{1.91113096927, 2.46074210438, 1.18284184739, 1.14982565193, 1.05017074788,
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0.898018824055, 0.74725392039, 0.615105596242}, {2.46074210438,
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1.58529308355, 1.21363250036, 1.38190029285, 1.33100189972,
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1.17428548929, 0.996404342439, 0.830890433625}, {1.18284184739,
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1.21363250036, 0.978712413627, 1.02624506078, 1.03145147362,
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0.960060382087, 0.849823426169, 0.731221236837}, {1.14982565193,
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1.38190029285, 1.02624506078, 0.861317501629, 0.801821139099,
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0.751437590932, 0.685398513368, 0.608694761374}, {1.05017074788,
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1.33100189972, 1.03145147362, 0.801821139099, 0.676555426187,
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0.605503172737, 0.55002013668, 0.495804539034}, {0.898018824055,
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1.17428548929, 0.960060382087, 0.751437590932, 0.605503172737,
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0.514674450957, 0.454353482512, 0.407050308965}, {0.74725392039,
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0.996404342439, 0.849823426169, 0.685398513368, 0.55002013668,
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0.454353482512, 0.389234902883, 0.342353999733}, {0.615105596242,
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0.830890433625, 0.731221236837, 0.608694761374, 0.495804539034,
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0.407050308965, 0.342353999733, 0.295530605237}};
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float csf_cr420[8][8] = {
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{2.03871978502, 2.62502345193, 1.26180942886, 1.11019789803, 1.01397751469,
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0.867069376285, 0.721500455585, 0.593906509971}, {2.62502345193,
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1.69112867013, 1.17180569821, 1.3342742857, 1.28513006198,
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1.13381474809, 0.962064122248, 0.802254508198}, {1.26180942886,
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1.17180569821, 0.944981930573, 0.990876405848, 0.995903384143,
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0.926972725286, 0.820534991409, 0.706020324706}, {1.11019789803,
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1.3342742857, 0.990876405848, 0.831632933426, 0.77418706195,
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0.725539939514, 0.661776842059, 0.587716619023}, {1.01397751469,
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1.28513006198, 0.995903384143, 0.77418706195, 0.653238524286,
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0.584635025748, 0.531064164893, 0.478717061273}, {0.867069376285,
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1.13381474809, 0.926972725286, 0.725539939514, 0.584635025748,
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0.496936637883, 0.438694579826, 0.393021669543}, {0.721500455585,
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0.962064122248, 0.820534991409, 0.661776842059, 0.531064164893,
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0.438694579826, 0.375820256136, 0.330555063063}, {0.593906509971,
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0.802254508198, 0.706020324706, 0.587716619023, 0.478717061273,
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0.393021669543, 0.330555063063, 0.285345396658}};
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static double convert_score_db(double _score, double _weight) {
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return 10 * (log10(255 * 255) - log10(_weight * _score));
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}
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static double calc_psnrhvs(const unsigned char *_src, int _systride,
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const unsigned char *_dst, int _dystride,
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double _par, int _w, int _h, int _step,
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float _csf[8][8]) {
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float ret;
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int16_t dct_s[8 * 8], dct_d[8 * 8];
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tran_low_t dct_s_coef[8 * 8], dct_d_coef[8 * 8];
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float mask[8][8];
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int pixels;
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int x;
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int y;
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(void) _par;
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ret = pixels = 0;
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/*In the PSNR-HVS-M paper[1] the authors describe the construction of
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their masking table as "we have used the quantization table for the
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color component Y of JPEG [6] that has been also obtained on the
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basis of CSF. Note that the values in quantization table JPEG have
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been normalized and then squared." Their CSF matrix (from PSNR-HVS)
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was also constructed from the JPEG matrices. I can not find any obvious
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scheme of normalizing to produce their table, but if I multiply their
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CSF by 0.38857 and square the result I get their masking table.
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I have no idea where this constant comes from, but deviating from it
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too greatly hurts MOS agreement.
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[1] Nikolay Ponomarenko, Flavia Silvestri, Karen Egiazarian, Marco Carli,
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Jaakko Astola, Vladimir Lukin, "On between-coefficient contrast masking
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of DCT basis functions", CD-ROM Proceedings of the Third
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International Workshop on Video Processing and Quality Metrics for Consumer
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Electronics VPQM-07, Scottsdale, Arizona, USA, 25-26 January, 2007, 4 p.*/
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for (x = 0; x < 8; x++)
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for (y = 0; y < 8; y++)
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mask[x][y] = (_csf[x][y] * 0.3885746225901003)
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* (_csf[x][y] * 0.3885746225901003);
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for (y = 0; y < _h - 7; y += _step) {
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for (x = 0; x < _w - 7; x += _step) {
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int i;
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int j;
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float s_means[4];
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float d_means[4];
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float s_vars[4];
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float d_vars[4];
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float s_gmean = 0;
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float d_gmean = 0;
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float s_gvar = 0;
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float d_gvar = 0;
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float s_mask = 0;
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float d_mask = 0;
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for (i = 0; i < 4; i++)
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s_means[i] = d_means[i] = s_vars[i] = d_vars[i] = 0;
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for (i = 0; i < 8; i++) {
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for (j = 0; j < 8; j++) {
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int sub = ((i & 12) >> 2) + ((j & 12) >> 1);
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dct_s[i * 8 + j] = _src[(y + i) * _systride + (j + x)];
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dct_d[i * 8 + j] = _dst[(y + i) * _dystride + (j + x)];
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s_gmean += dct_s[i * 8 + j];
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d_gmean += dct_d[i * 8 + j];
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s_means[sub] += dct_s[i * 8 + j];
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d_means[sub] += dct_d[i * 8 + j];
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}
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}
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s_gmean /= 64.f;
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d_gmean /= 64.f;
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for (i = 0; i < 4; i++)
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s_means[i] /= 16.f;
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for (i = 0; i < 4; i++)
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d_means[i] /= 16.f;
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for (i = 0; i < 8; i++) {
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for (j = 0; j < 8; j++) {
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int sub = ((i & 12) >> 2) + ((j & 12) >> 1);
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s_gvar += (dct_s[i * 8 + j] - s_gmean) * (dct_s[i * 8 + j] - s_gmean);
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d_gvar += (dct_d[i * 8 + j] - d_gmean) * (dct_d[i * 8 + j] - d_gmean);
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s_vars[sub] += (dct_s[i * 8 + j] - s_means[sub])
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* (dct_s[i * 8 + j] - s_means[sub]);
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d_vars[sub] += (dct_d[i * 8 + j] - d_means[sub])
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* (dct_d[i * 8 + j] - d_means[sub]);
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}
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}
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s_gvar *= 1 / 63.f * 64;
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d_gvar *= 1 / 63.f * 64;
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for (i = 0; i < 4; i++)
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s_vars[i] *= 1 / 15.f * 16;
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for (i = 0; i < 4; i++)
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d_vars[i] *= 1 / 15.f * 16;
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if (s_gvar > 0)
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s_gvar = (s_vars[0] + s_vars[1] + s_vars[2] + s_vars[3]) / s_gvar;
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if (d_gvar > 0)
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d_gvar = (d_vars[0] + d_vars[1] + d_vars[2] + d_vars[3]) / d_gvar;
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od_bin_fdct8x8(dct_s_coef, 8, dct_s, 8);
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od_bin_fdct8x8(dct_d_coef, 8, dct_d, 8);
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for (i = 0; i < 8; i++)
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for (j = (i == 0); j < 8; j++)
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s_mask += dct_s_coef[i * 8 + j] * dct_s_coef[i * 8 + j] * mask[i][j];
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for (i = 0; i < 8; i++)
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for (j = (i == 0); j < 8; j++)
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d_mask += dct_d_coef[i * 8 + j] * dct_d_coef[i * 8 + j] * mask[i][j];
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s_mask = sqrt(s_mask * s_gvar) / 32.f;
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d_mask = sqrt(d_mask * d_gvar) / 32.f;
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if (d_mask > s_mask)
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s_mask = d_mask;
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for (i = 0; i < 8; i++) {
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for (j = 0; j < 8; j++) {
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float err;
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err = fabs(dct_s_coef[i * 8 + j] - dct_d_coef[i * 8 + j]);
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if (i != 0 || j != 0)
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err = err < s_mask / mask[i][j] ? 0 : err - s_mask / mask[i][j];
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ret += (err * _csf[i][j]) * (err * _csf[i][j]);
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pixels++;
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}
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}
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}
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}
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ret /= pixels;
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return ret;
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}
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double vp10_psnrhvs(YV12_BUFFER_CONFIG *source, YV12_BUFFER_CONFIG *dest,
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double *y_psnrhvs, double *u_psnrhvs, double *v_psnrhvs) {
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double psnrhvs;
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double par = 1.0;
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int step = 7;
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vpx_clear_system_state();
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*y_psnrhvs = calc_psnrhvs(source->y_buffer, source->y_stride, dest->y_buffer,
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dest->y_stride, par, source->y_crop_width,
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source->y_crop_height, step, csf_y);
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*u_psnrhvs = calc_psnrhvs(source->u_buffer, source->uv_stride, dest->u_buffer,
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dest->uv_stride, par, source->uv_crop_width,
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source->uv_crop_height, step, csf_cb420);
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*v_psnrhvs = calc_psnrhvs(source->v_buffer, source->uv_stride, dest->v_buffer,
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dest->uv_stride, par, source->uv_crop_width,
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source->uv_crop_height, step, csf_cr420);
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psnrhvs = (*y_psnrhvs) * .8 + .1 * ((*u_psnrhvs) + (*v_psnrhvs));
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return convert_score_db(psnrhvs, 1.0);
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}
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