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| 1 // Copyright 2014 Google Inc. All Rights Reserved. |
| 2 // |
| 3 // Use of this source code is governed by a BSD-style license |
| 4 // that can be found in the COPYING file in the root of the source |
| 5 // tree. An additional intellectual property rights grant can be found |
| 6 // in the file PATENTS. All contributing project authors may |
| 7 // be found in the AUTHORS file in the root of the source tree. |
| 8 // ----------------------------------------------------------------------------- |
| 9 // |
| 10 // WebPPicture tools for measuring distortion |
| 11 // |
| 12 // Author: Skal (pascal.massimino@gmail.com) |
| 13 |
| 14 #include <math.h> |
| 15 #include <stdlib.h> |
| 16 |
| 17 #include "./vp8i_enc.h" |
| 18 #include "../utils/utils.h" |
| 19 |
| 20 typedef double (*AccumulateFunc)(const uint8_t* src, int src_stride, |
| 21 const uint8_t* ref, int ref_stride, |
| 22 int w, int h); |
| 23 |
| 24 //------------------------------------------------------------------------------ |
| 25 // local-min distortion |
| 26 // |
| 27 // For every pixel in the *reference* picture, we search for the local best |
| 28 // match in the compressed image. This is not a symmetrical measure. |
| 29 |
| 30 #define RADIUS 2 // search radius. Shouldn't be too large. |
| 31 |
| 32 static double AccumulateLSIM(const uint8_t* src, int src_stride, |
| 33 const uint8_t* ref, int ref_stride, |
| 34 int w, int h) { |
| 35 int x, y; |
| 36 double total_sse = 0.; |
| 37 for (y = 0; y < h; ++y) { |
| 38 const int y_0 = (y - RADIUS < 0) ? 0 : y - RADIUS; |
| 39 const int y_1 = (y + RADIUS + 1 >= h) ? h : y + RADIUS + 1; |
| 40 for (x = 0; x < w; ++x) { |
| 41 const int x_0 = (x - RADIUS < 0) ? 0 : x - RADIUS; |
| 42 const int x_1 = (x + RADIUS + 1 >= w) ? w : x + RADIUS + 1; |
| 43 double best_sse = 255. * 255.; |
| 44 const double value = (double)ref[y * ref_stride + x]; |
| 45 int i, j; |
| 46 for (j = y_0; j < y_1; ++j) { |
| 47 const uint8_t* const s = src + j * src_stride; |
| 48 for (i = x_0; i < x_1; ++i) { |
| 49 const double diff = s[i] - value; |
| 50 const double sse = diff * diff; |
| 51 if (sse < best_sse) best_sse = sse; |
| 52 } |
| 53 } |
| 54 total_sse += best_sse; |
| 55 } |
| 56 } |
| 57 return total_sse; |
| 58 } |
| 59 #undef RADIUS |
| 60 |
| 61 static double AccumulateSSE(const uint8_t* src, int src_stride, |
| 62 const uint8_t* ref, int ref_stride, |
| 63 int w, int h) { |
| 64 int y; |
| 65 double total_sse = 0.; |
| 66 for (y = 0; y < h; ++y) { |
| 67 total_sse += VP8AccumulateSSE(src, ref, w); |
| 68 src += src_stride; |
| 69 ref += ref_stride; |
| 70 } |
| 71 return total_sse; |
| 72 } |
| 73 |
| 74 //------------------------------------------------------------------------------ |
| 75 |
| 76 static double AccumulateSSIM(const uint8_t* src, int src_stride, |
| 77 const uint8_t* ref, int ref_stride, |
| 78 int w, int h) { |
| 79 const int w0 = (w < VP8_SSIM_KERNEL) ? w : VP8_SSIM_KERNEL; |
| 80 const int w1 = w - VP8_SSIM_KERNEL - 1; |
| 81 const int h0 = (h < VP8_SSIM_KERNEL) ? h : VP8_SSIM_KERNEL; |
| 82 const int h1 = h - VP8_SSIM_KERNEL - 1; |
| 83 int x, y; |
| 84 double sum = 0.; |
| 85 for (y = 0; y < h0; ++y) { |
| 86 for (x = 0; x < w; ++x) { |
| 87 sum += VP8SSIMGetClipped(src, src_stride, ref, ref_stride, x, y, w, h); |
| 88 } |
| 89 } |
| 90 for (; y < h1; ++y) { |
| 91 for (x = 0; x < w0; ++x) { |
| 92 sum += VP8SSIMGetClipped(src, src_stride, ref, ref_stride, x, y, w, h); |
| 93 } |
| 94 for (; x < w1; ++x) { |
| 95 const int off1 = x - VP8_SSIM_KERNEL + (y - VP8_SSIM_KERNEL) * src_stride; |
| 96 const int off2 = x - VP8_SSIM_KERNEL + (y - VP8_SSIM_KERNEL) * ref_stride; |
| 97 sum += VP8SSIMGet(src + off1, src_stride, ref + off2, ref_stride); |
| 98 } |
| 99 for (; x < w; ++x) { |
| 100 sum += VP8SSIMGetClipped(src, src_stride, ref, ref_stride, x, y, w, h); |
| 101 } |
| 102 } |
| 103 for (; y < h; ++y) { |
| 104 for (x = 0; x < w; ++x) { |
| 105 sum += VP8SSIMGetClipped(src, src_stride, ref, ref_stride, x, y, w, h); |
| 106 } |
| 107 } |
| 108 return sum; |
| 109 } |
| 110 |
| 111 //------------------------------------------------------------------------------ |
| 112 // Distortion |
| 113 |
| 114 // Max value returned in case of exact similarity. |
| 115 static const double kMinDistortion_dB = 99.; |
| 116 |
| 117 static double GetPSNR(double v, double size) { |
| 118 return (v > 0. && size > 0.) ? -4.3429448 * log(v / (size * 255 * 255.)) |
| 119 : kMinDistortion_dB; |
| 120 } |
| 121 |
| 122 static double GetLogSSIM(double v, double size) { |
| 123 v = (size > 0.) ? v / size : 1.; |
| 124 return (v < 1.) ? -10.0 * log10(1. - v) : kMinDistortion_dB; |
| 125 } |
| 126 |
| 127 int WebPPlaneDistortion(const uint8_t* src, size_t src_stride, |
| 128 const uint8_t* ref, size_t ref_stride, |
| 129 int width, int height, size_t x_step, |
| 130 int type, float* distortion, float* result) { |
| 131 uint8_t* allocated = NULL; |
| 132 const AccumulateFunc metric = (type == 0) ? AccumulateSSE : |
| 133 (type == 1) ? AccumulateSSIM : |
| 134 AccumulateLSIM; |
| 135 if (src == NULL || ref == NULL || |
| 136 src_stride < x_step * width || ref_stride < x_step * width || |
| 137 result == NULL || distortion == NULL) { |
| 138 return 0; |
| 139 } |
| 140 |
| 141 VP8SSIMDspInit(); |
| 142 if (x_step != 1) { // extract a packed plane if needed |
| 143 int x, y; |
| 144 uint8_t* tmp1; |
| 145 uint8_t* tmp2; |
| 146 allocated = |
| 147 (uint8_t*)WebPSafeMalloc(2ULL * width * height, sizeof(*allocated)); |
| 148 if (allocated == NULL) return 0; |
| 149 tmp1 = allocated; |
| 150 tmp2 = tmp1 + (size_t)width * height; |
| 151 for (y = 0; y < height; ++y) { |
| 152 for (x = 0; x < width; ++x) { |
| 153 tmp1[x + y * width] = src[x * x_step + y * src_stride]; |
| 154 tmp2[x + y * width] = ref[x * x_step + y * ref_stride]; |
| 155 } |
| 156 } |
| 157 src = tmp1; |
| 158 ref = tmp2; |
| 159 } |
| 160 *distortion = (float)metric(src, width, ref, width, width, height); |
| 161 WebPSafeFree(allocated); |
| 162 |
| 163 *result = (type == 1) ? (float)GetLogSSIM(*distortion, (double)width * height) |
| 164 : (float)GetPSNR(*distortion, (double)width * height); |
| 165 return 1; |
| 166 } |
| 167 |
| 168 int WebPPictureDistortion(const WebPPicture* src, const WebPPicture* ref, |
| 169 int type, float results[5]) { |
| 170 int w, h, c; |
| 171 int ok = 0; |
| 172 WebPPicture p0, p1; |
| 173 double total_size = 0., total_distortion = 0.; |
| 174 if (src == NULL || ref == NULL || |
| 175 src->width != ref->width || src->height != ref->height || |
| 176 results == NULL) { |
| 177 return 0; |
| 178 } |
| 179 |
| 180 VP8SSIMDspInit(); |
| 181 if (!WebPPictureInit(&p0) || !WebPPictureInit(&p1)) return 0; |
| 182 w = src->width; |
| 183 h = src->height; |
| 184 if (!WebPPictureView(src, 0, 0, w, h, &p0)) goto Error; |
| 185 if (!WebPPictureView(ref, 0, 0, w, h, &p1)) goto Error; |
| 186 |
| 187 // We always measure distortion in ARGB space. |
| 188 if (p0.use_argb == 0 && !WebPPictureYUVAToARGB(&p0)) goto Error; |
| 189 if (p1.use_argb == 0 && !WebPPictureYUVAToARGB(&p1)) goto Error; |
| 190 for (c = 0; c < 4; ++c) { |
| 191 float distortion; |
| 192 const size_t stride0 = 4 * (size_t)p0.argb_stride; |
| 193 const size_t stride1 = 4 * (size_t)p1.argb_stride; |
| 194 if (!WebPPlaneDistortion((const uint8_t*)p0.argb + c, stride0, |
| 195 (const uint8_t*)p1.argb + c, stride1, |
| 196 w, h, 4, type, &distortion, results + c)) { |
| 197 goto Error; |
| 198 } |
| 199 total_distortion += distortion; |
| 200 total_size += w * h; |
| 201 } |
| 202 |
| 203 results[4] = (type == 1) ? (float)GetLogSSIM(total_distortion, total_size) |
| 204 : (float)GetPSNR(total_distortion, total_size); |
| 205 ok = 1; |
| 206 |
| 207 Error: |
| 208 WebPPictureFree(&p0); |
| 209 WebPPictureFree(&p1); |
| 210 return ok; |
| 211 } |
| 212 |
| 213 //------------------------------------------------------------------------------ |
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