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1 /* | |
2 * Copyright (c) 2010 The WebM project authors. All Rights Reserved. | |
3 * | |
4 * Use of this source code is governed by a BSD-style license | |
5 * that can be found in the LICENSE file in the root of the source | |
6 * tree. An additional intellectual property rights grant can be found | |
7 * in the file PATENTS. All contributing project authors may | |
8 * be found in the AUTHORS file in the root of the source tree. | |
9 * | |
10 * This code was originally written by: Gregory Maxwell, at the Daala | |
11 * project. | |
12 */ | |
13 #include <stdio.h> | |
14 #include <stdlib.h> | |
15 #include <math.h> | |
16 | |
17 #include "./vpx_config.h" | |
18 #include "./vp9_rtcd.h" | |
19 #include "./vpx_dsp_rtcd.h" | |
20 #include "vp9/encoder/vp9_ssim.h" | |
21 | |
22 #if !defined(M_PI) | |
23 # define M_PI (3.141592653589793238462643) | |
24 #endif | |
25 #include <string.h> | |
26 | |
27 void od_bin_fdct8x8(tran_low_t *y, int ystride, const int16_t *x, int xstride) { | |
28 (void) xstride; | |
29 vpx_fdct8x8(x, y, ystride); | |
30 } | |
31 | |
32 /* Normalized inverse quantization matrix for 8x8 DCT at the point of | |
33 * transparency. This is not the JPEG based matrix from the paper, | |
34 this one gives a slightly higher MOS agreement.*/ | |
35 float csf_y[8][8] = {{1.6193873005, 2.2901594831, 2.08509755623, 1.48366094411, | |
36 1.00227514334, 0.678296995242, 0.466224900598, 0.3265091542}, {2.2901594831, | |
37 1.94321815382, 2.04793073064, 1.68731108984, 1.2305666963, 0.868920337363, | |
38 0.61280991668, 0.436405793551}, {2.08509755623, 2.04793073064, | |
39 1.34329019223, 1.09205635862, 0.875748795257, 0.670882927016, | |
40 0.501731932449, 0.372504254596}, {1.48366094411, 1.68731108984, | |
41 1.09205635862, 0.772819797575, 0.605636379554, 0.48309405692, | |
42 0.380429446972, 0.295774038565}, {1.00227514334, 1.2305666963, | |
43 0.875748795257, 0.605636379554, 0.448996256676, 0.352889268808, | |
44 0.283006984131, 0.226951348204}, {0.678296995242, 0.868920337363, | |
45 0.670882927016, 0.48309405692, 0.352889268808, 0.27032073436, | |
46 0.215017739696, 0.17408067321}, {0.466224900598, 0.61280991668, | |
47 0.501731932449, 0.380429446972, 0.283006984131, 0.215017739696, | |
48 0.168869545842, 0.136153931001}, {0.3265091542, 0.436405793551, | |
49 0.372504254596, 0.295774038565, 0.226951348204, 0.17408067321, | |
50 0.136153931001, 0.109083846276}}; | |
51 float csf_cb420[8][8] = { | |
52 {1.91113096927, 2.46074210438, 1.18284184739, 1.14982565193, 1.05017074788, | |
53 0.898018824055, 0.74725392039, 0.615105596242}, {2.46074210438, | |
54 1.58529308355, 1.21363250036, 1.38190029285, 1.33100189972, | |
55 1.17428548929, 0.996404342439, 0.830890433625}, {1.18284184739, | |
56 1.21363250036, 0.978712413627, 1.02624506078, 1.03145147362, | |
57 0.960060382087, 0.849823426169, 0.731221236837}, {1.14982565193, | |
58 1.38190029285, 1.02624506078, 0.861317501629, 0.801821139099, | |
59 0.751437590932, 0.685398513368, 0.608694761374}, {1.05017074788, | |
60 1.33100189972, 1.03145147362, 0.801821139099, 0.676555426187, | |
61 0.605503172737, 0.55002013668, 0.495804539034}, {0.898018824055, | |
62 1.17428548929, 0.960060382087, 0.751437590932, 0.605503172737, | |
63 0.514674450957, 0.454353482512, 0.407050308965}, {0.74725392039, | |
64 0.996404342439, 0.849823426169, 0.685398513368, 0.55002013668, | |
65 0.454353482512, 0.389234902883, 0.342353999733}, {0.615105596242, | |
66 0.830890433625, 0.731221236837, 0.608694761374, 0.495804539034, | |
67 0.407050308965, 0.342353999733, 0.295530605237}}; | |
68 float csf_cr420[8][8] = { | |
69 {2.03871978502, 2.62502345193, 1.26180942886, 1.11019789803, 1.01397751469, | |
70 0.867069376285, 0.721500455585, 0.593906509971}, {2.62502345193, | |
71 1.69112867013, 1.17180569821, 1.3342742857, 1.28513006198, | |
72 1.13381474809, 0.962064122248, 0.802254508198}, {1.26180942886, | |
73 1.17180569821, 0.944981930573, 0.990876405848, 0.995903384143, | |
74 0.926972725286, 0.820534991409, 0.706020324706}, {1.11019789803, | |
75 1.3342742857, 0.990876405848, 0.831632933426, 0.77418706195, | |
76 0.725539939514, 0.661776842059, 0.587716619023}, {1.01397751469, | |
77 1.28513006198, 0.995903384143, 0.77418706195, 0.653238524286, | |
78 0.584635025748, 0.531064164893, 0.478717061273}, {0.867069376285, | |
79 1.13381474809, 0.926972725286, 0.725539939514, 0.584635025748, | |
80 0.496936637883, 0.438694579826, 0.393021669543}, {0.721500455585, | |
81 0.962064122248, 0.820534991409, 0.661776842059, 0.531064164893, | |
82 0.438694579826, 0.375820256136, 0.330555063063}, {0.593906509971, | |
83 0.802254508198, 0.706020324706, 0.587716619023, 0.478717061273, | |
84 0.393021669543, 0.330555063063, 0.285345396658}}; | |
85 | |
86 static double convert_score_db(double _score, double _weight) { | |
87 return 10 * (log10(255 * 255) - log10(_weight * _score)); | |
88 } | |
89 | |
90 static double calc_psnrhvs(const unsigned char *_src, int _systride, | |
91 const unsigned char *_dst, int _dystride, | |
92 double _par, int _w, int _h, int _step, | |
93 float _csf[8][8]) { | |
94 float ret; | |
95 int16_t dct_s[8 * 8], dct_d[8 * 8]; | |
96 tran_low_t dct_s_coef[8 * 8], dct_d_coef[8 * 8]; | |
97 float mask[8][8]; | |
98 int pixels; | |
99 int x; | |
100 int y; | |
101 (void) _par; | |
102 ret = pixels = 0; | |
103 /*In the PSNR-HVS-M paper[1] the authors describe the construction of | |
104 their masking table as "we have used the quantization table for the | |
105 color component Y of JPEG [6] that has been also obtained on the | |
106 basis of CSF. Note that the values in quantization table JPEG have | |
107 been normalized and then squared." Their CSF matrix (from PSNR-HVS) | |
108 was also constructed from the JPEG matrices. I can not find any obvious | |
109 scheme of normalizing to produce their table, but if I multiply their | |
110 CSF by 0.38857 and square the result I get their masking table. | |
111 I have no idea where this constant comes from, but deviating from it | |
112 too greatly hurts MOS agreement. | |
113 | |
114 [1] Nikolay Ponomarenko, Flavia Silvestri, Karen Egiazarian, Marco Carli, | |
115 Jaakko Astola, Vladimir Lukin, "On between-coefficient contrast masking | |
116 of DCT basis functions", CD-ROM Proceedings of the Third | |
117 International Workshop on Video Processing and Quality Metrics for Consumer | |
118 Electronics VPQM-07, Scottsdale, Arizona, USA, 25-26 January, 2007, 4 p.*/ | |
119 for (x = 0; x < 8; x++) | |
120 for (y = 0; y < 8; y++) | |
121 mask[x][y] = (_csf[x][y] * 0.3885746225901003) | |
122 * (_csf[x][y] * 0.3885746225901003); | |
123 for (y = 0; y < _h - 7; y += _step) { | |
124 for (x = 0; x < _w - 7; x += _step) { | |
125 int i; | |
126 int j; | |
127 float s_means[4]; | |
128 float d_means[4]; | |
129 float s_vars[4]; | |
130 float d_vars[4]; | |
131 float s_gmean = 0; | |
132 float d_gmean = 0; | |
133 float s_gvar = 0; | |
134 float d_gvar = 0; | |
135 float s_mask = 0; | |
136 float d_mask = 0; | |
137 for (i = 0; i < 4; i++) | |
138 s_means[i] = d_means[i] = s_vars[i] = d_vars[i] = 0; | |
139 for (i = 0; i < 8; i++) { | |
140 for (j = 0; j < 8; j++) { | |
141 int sub = ((i & 12) >> 2) + ((j & 12) >> 1); | |
142 dct_s[i * 8 + j] = _src[(y + i) * _systride + (j + x)]; | |
143 dct_d[i * 8 + j] = _dst[(y + i) * _dystride + (j + x)]; | |
144 s_gmean += dct_s[i * 8 + j]; | |
145 d_gmean += dct_d[i * 8 + j]; | |
146 s_means[sub] += dct_s[i * 8 + j]; | |
147 d_means[sub] += dct_d[i * 8 + j]; | |
148 } | |
149 } | |
150 s_gmean /= 64.f; | |
151 d_gmean /= 64.f; | |
152 for (i = 0; i < 4; i++) | |
153 s_means[i] /= 16.f; | |
154 for (i = 0; i < 4; i++) | |
155 d_means[i] /= 16.f; | |
156 for (i = 0; i < 8; i++) { | |
157 for (j = 0; j < 8; j++) { | |
158 int sub = ((i & 12) >> 2) + ((j & 12) >> 1); | |
159 s_gvar += (dct_s[i * 8 + j] - s_gmean) * (dct_s[i * 8 + j] - s_gmean); | |
160 d_gvar += (dct_d[i * 8 + j] - d_gmean) * (dct_d[i * 8 + j] - d_gmean); | |
161 s_vars[sub] += (dct_s[i * 8 + j] - s_means[sub]) | |
162 * (dct_s[i * 8 + j] - s_means[sub]); | |
163 d_vars[sub] += (dct_d[i * 8 + j] - d_means[sub]) | |
164 * (dct_d[i * 8 + j] - d_means[sub]); | |
165 } | |
166 } | |
167 s_gvar *= 1 / 63.f * 64; | |
168 d_gvar *= 1 / 63.f * 64; | |
169 for (i = 0; i < 4; i++) | |
170 s_vars[i] *= 1 / 15.f * 16; | |
171 for (i = 0; i < 4; i++) | |
172 d_vars[i] *= 1 / 15.f * 16; | |
173 if (s_gvar > 0) | |
174 s_gvar = (s_vars[0] + s_vars[1] + s_vars[2] + s_vars[3]) / s_gvar; | |
175 if (d_gvar > 0) | |
176 d_gvar = (d_vars[0] + d_vars[1] + d_vars[2] + d_vars[3]) / d_gvar; | |
177 od_bin_fdct8x8(dct_s_coef, 8, dct_s, 8); | |
178 od_bin_fdct8x8(dct_d_coef, 8, dct_d, 8); | |
179 for (i = 0; i < 8; i++) | |
180 for (j = (i == 0); j < 8; j++) | |
181 s_mask += dct_s_coef[i * 8 + j] * dct_s_coef[i * 8 + j] * mask[i][j]; | |
182 for (i = 0; i < 8; i++) | |
183 for (j = (i == 0); j < 8; j++) | |
184 d_mask += dct_d_coef[i * 8 + j] * dct_d_coef[i * 8 + j] * mask[i][j]; | |
185 s_mask = sqrt(s_mask * s_gvar) / 32.f; | |
186 d_mask = sqrt(d_mask * d_gvar) / 32.f; | |
187 if (d_mask > s_mask) | |
188 s_mask = d_mask; | |
189 for (i = 0; i < 8; i++) { | |
190 for (j = 0; j < 8; j++) { | |
191 float err; | |
192 err = fabs(dct_s_coef[i * 8 + j] - dct_d_coef[i * 8 + j]); | |
193 if (i != 0 || j != 0) | |
194 err = err < s_mask / mask[i][j] ? 0 : err - s_mask / mask[i][j]; | |
195 ret += (err * _csf[i][j]) * (err * _csf[i][j]); | |
196 pixels++; | |
197 } | |
198 } | |
199 } | |
200 } | |
201 ret /= pixels; | |
202 return ret; | |
203 } | |
204 double vp9_psnrhvs(YV12_BUFFER_CONFIG *source, YV12_BUFFER_CONFIG *dest, | |
205 double *y_psnrhvs, double *u_psnrhvs, double *v_psnrhvs) { | |
206 double psnrhvs; | |
207 double par = 1.0; | |
208 int step = 7; | |
209 vp9_clear_system_state(); | |
210 *y_psnrhvs = calc_psnrhvs(source->y_buffer, source->y_stride, dest->y_buffer, | |
211 dest->y_stride, par, source->y_crop_width, | |
212 source->y_crop_height, step, csf_y); | |
213 | |
214 *u_psnrhvs = calc_psnrhvs(source->u_buffer, source->uv_stride, dest->u_buffer, | |
215 dest->uv_stride, par, source->uv_crop_width, | |
216 source->uv_crop_height, step, csf_cb420); | |
217 | |
218 *v_psnrhvs = calc_psnrhvs(source->v_buffer, source->uv_stride, dest->v_buffer, | |
219 dest->uv_stride, par, source->uv_crop_width, | |
220 source->uv_crop_height, step, csf_cr420); | |
221 psnrhvs = (*y_psnrhvs) * .8 + .1 * ((*u_psnrhvs) + (*v_psnrhvs)); | |
222 | |
223 return convert_score_db(psnrhvs, 1.0); | |
224 } | |
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