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https://github.com/webmproject/libwebp.git
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add -print_psnr and -print_ssim options to cwebp.
These will report the 7x7-averaged PSNR or SSIM, using the new internal function WebPPictureDistortion(). This is for information only. These flags have no encoding impact. +misc opportunistic cosmetics Change-Id: I64c0a7eca679134d39062e438886274b22bb643f
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README
2
README
@ -148,6 +148,8 @@ options:
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-crop <x> <y> <w> <h> .. crop picture with the given rectangle
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-resize <w> <h> ........ resize picture (after any cropping)
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-map <int> ............. print map of extra info.
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-print_ssim ............ prints averaged SSIM distortion.
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-print_psnr ............ prints averaged PSNR distortion.
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-d <file.pgm> .......... dump the compressed output (PGM file).
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-alpha_method <int> .... Transparency-compression method (0..1)
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-alpha_filter <string> . predictive filtering for alpha plane.
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@ -529,7 +529,8 @@ static void PrintValues(const int values[4]) {
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fprintf(stderr, "|\n");
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}
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static void PrintExtraInfo(const WebPPicture* const pic, int short_output) {
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static void PrintExtraInfo(const WebPPicture* const pic, int short_output,
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const char* const file_name) {
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const WebPAuxStats* const stats = pic->stats;
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if (short_output) {
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fprintf(stderr, "%7d %2.2f\n", stats->coded_size, stats->PSNR[3]);
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@ -538,8 +539,11 @@ static void PrintExtraInfo(const WebPPicture* const pic, int short_output) {
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const int num_i16 = stats->block_count[1];
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const int num_skip = stats->block_count[2];
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const int total = num_i4 + num_i16;
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fprintf(stderr,
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"%7d bytes Y-U-V-All-PSNR %2.2f %2.2f %2.2f %2.2f dB\n",
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fprintf(stderr, "File: %s\n", file_name);
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fprintf(stderr, "Dimension: %d x %d%s\n",
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pic->width, pic->height, (pic->a != NULL) ? " (with alpha)" : "");
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fprintf(stderr, "Output: "
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"%d bytes Y-U-V-All-PSNR %2.2f %2.2f %2.2f %2.2f dB\n",
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stats->coded_size,
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stats->PSNR[0], stats->PSNR[1], stats->PSNR[2], stats->PSNR[3]);
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if (total > 0) {
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@ -626,7 +630,7 @@ static int DumpPicture(const WebPPicture* const picture, const char* PGM_name) {
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const int alpha_height = picture->a ? picture->height : 0;
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const int height = picture->height + uv_height + alpha_height;
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FILE* const f = fopen(PGM_name, "wb");
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if (!f) return 0;
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if (f == NULL) return 0;
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fprintf(f, "P5\n%d %d\n255\n", stride, height);
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for (y = 0; y < picture->height; ++y) {
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if (fwrite(picture->y + y * picture->y_stride, picture->width, 1, f) != 1)
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@ -707,6 +711,8 @@ static void HelpLong(void) {
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printf(" -444 / -422 / -gray ..... Change colorspace\n");
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#endif
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printf(" -map <int> ............. print map of extra info.\n");
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printf(" -print_ssim ............ prints averaged SSIM distortion.\n");
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printf(" -print_psnr ............ prints averaged PSNR distortion.\n");
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printf(" -d <file.pgm> .......... dump the compressed output (PGM file).\n");
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printf(" -alpha_method <int> .... Transparency-compression method (0..1)\n");
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printf(" -alpha_filter <string> . predictive filtering for alpha plane.\n");
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@ -766,11 +772,15 @@ int main(int argc, const char *argv[]) {
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int resize_w = 0, resize_h = 0;
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int show_progress = 0;
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WebPPicture picture;
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int print_distortion = 0; // 1=PSNR, 2=SSIM
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WebPPicture original_picture; // when PSNR or SSIM is requested
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WebPConfig config;
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WebPAuxStats stats;
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Stopwatch stop_watch;
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if (!WebPPictureInit(&picture) || !WebPConfigInit(&config)) {
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if (!WebPPictureInit(&picture) ||
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!WebPPictureInit(&original_picture) ||
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!WebPConfigInit(&config)) {
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fprintf(stderr, "Error! Version mismatch!\n");
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goto Error;
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}
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@ -792,6 +802,12 @@ int main(int argc, const char *argv[]) {
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} else if (!strcmp(argv[c], "-d") && c < argc - 1) {
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dump_file = argv[++c];
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config.show_compressed = 1;
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} else if (!strcmp(argv[c], "-print_ssim")) {
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config.show_compressed = 1;
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print_distortion = 2;
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} else if (!strcmp(argv[c], "-print_psnr")) {
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config.show_compressed = 1;
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print_distortion = 1;
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} else if (!strcmp(argv[c], "-short")) {
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short_output++;
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} else if (!strcmp(argv[c], "-s") && c < argc - 2) {
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@ -919,7 +935,7 @@ int main(int argc, const char *argv[]) {
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StopwatchReadAndReset(&stop_watch);
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}
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if (!ReadPicture(in_file, &picture, keep_alpha)) {
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fprintf(stderr, "Error! Cannot read input picture\n");
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fprintf(stderr, "Error! Cannot read input picture file '%s'\n", in_file);
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goto Error;
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}
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picture.progress_hook = (show_progress && !quiet) ? ProgressReport : NULL;
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@ -932,7 +948,7 @@ int main(int argc, const char *argv[]) {
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// Open the output
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if (out_file) {
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out = fopen(out_file, "wb");
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if (!out) {
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if (out == NULL) {
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fprintf(stderr, "Error! Cannot open output file '%s'\n", out_file);
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goto Error;
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} else {
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@ -969,6 +985,9 @@ int main(int argc, const char *argv[]) {
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if (picture.extra_info_type > 0) {
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AllocExtraInfo(&picture);
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}
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if (print_distortion > 0) { // Save original picture for later comparison
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WebPPictureCopy(&picture, &original_picture);
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}
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if (!WebPEncode(&config, &picture)) {
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fprintf(stderr, "Error! Cannot encode picture as WebP\n");
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fprintf(stderr, "Error code: %d (%s)\n",
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@ -984,13 +1003,23 @@ int main(int argc, const char *argv[]) {
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if (dump_file) {
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DumpPicture(&picture, dump_file);
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}
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if (!quiet) {
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PrintExtraInfo(&picture, short_output);
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PrintExtraInfo(&picture, short_output, in_file);
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}
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if (!quiet && !short_output && print_distortion > 0) { // print distortion
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float values[5];
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WebPPictureDistortion(&picture, &original_picture,
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(print_distortion == 1) ? 0 : 1, values);
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fprintf(stderr, "%s: Y:%.2f U:%.2f V:%.2f A:%.2f Total:%.2f\n",
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(print_distortion == 1) ? "PSNR" : "SSIM",
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values[0], values[1], values[2], values[3], values[4]);
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}
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Error:
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free(picture.extra_info);
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WebPPictureFree(&picture);
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WebPPictureFree(&original_picture);
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if (out != NULL) {
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fclose(out);
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}
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@ -168,6 +168,12 @@ Disable all assembly optimizations.
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.B \-v
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Print extra information (encoding time in particular).
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.TP
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.B \-print_psnr
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Compute and report average PSNR (Peak-Signal-To-Noise ratio).
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.TP
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.B \-print_ssim
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Compute and report average SSIM (structural similarity metric)
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.TP
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.B \-progress
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Report encoding progress in percent.
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.TP
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@ -234,14 +234,21 @@ static void DoFilter(const VP8EncIterator* const it, int level) {
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// SSIM metric
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enum { KERNEL = 3 };
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typedef struct {
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double w, xm, ym, xxm, xym, yym;
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} SSIMStats;
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static const double kMinValue = 1.e-10; // minimal threshold
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static void Accumulate(const uint8_t* src1, int stride1,
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const uint8_t* src2, int stride2,
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int xo, int yo, int W, int H,
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SSIMStats* const stats) {
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void VP8SSIMAddStats(const DistoStats* const src, DistoStats* const dst) {
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dst->w += src->w;
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dst->xm += src->xm;
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dst->ym += src->ym;
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dst->xxm += src->xxm;
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dst->xym += src->xym;
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dst->yym += src->yym;
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}
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static void VP8SSIMAccumulate(const uint8_t* src1, int stride1,
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const uint8_t* src2, int stride2,
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int xo, int yo, int W, int H,
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DistoStats* const stats) {
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const int ymin = (yo - KERNEL < 0) ? 0 : yo - KERNEL;
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const int ymax = (yo + KERNEL > H - 1) ? H - 1 : yo + KERNEL;
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const int xmin = (xo - KERNEL < 0) ? 0 : xo - KERNEL;
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@ -263,7 +270,7 @@ static void Accumulate(const uint8_t* src1, int stride1,
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}
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}
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static double GetSSIM(const SSIMStats* const stats) {
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double VP8SSIMGet(const DistoStats* const stats) {
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const double xmxm = stats->xm * stats->xm;
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const double ymym = stats->ym * stats->ym;
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const double xmym = stats->xm * stats->ym;
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@ -281,26 +288,49 @@ static double GetSSIM(const SSIMStats* const stats) {
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C2 = 58.5225 * w2;
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fnum = (2 * xmym + C1) * (2 * sxy + C2);
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fden = (xmxm + ymym + C1) * (sxx + syy + C2);
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return (fden != 0) ? fnum / fden : 0.;
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return (fden != 0.) ? fnum / fden : kMinValue;
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}
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double VP8SSIMGetSquaredError(const DistoStats* const s) {
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if (s->w > 0.) {
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const double iw2 = 1. / (s->w * s->w);
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const double sxx = s->xxm * s->w - s->xm * s->xm;
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const double syy = s->yym * s->w - s->ym * s->ym;
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const double sxy = s->xym * s->w - s->xm * s->ym;
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const double SSE = iw2 * (sxx + syy - 2. * sxy);
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if (SSE > kMinValue) return SSE;
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}
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return kMinValue;
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}
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void VP8SSIMAccumulatePlane(const uint8_t* src1, int stride1,
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const uint8_t* src2, int stride2,
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int W, int H, DistoStats* const stats) {
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int x, y;
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for (y = 0; y < H; ++y) {
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for (x = 0; x < W; ++x) {
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VP8SSIMAccumulate(src1, stride1, src2, stride2, x, y, W, H, stats);
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}
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}
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}
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static double GetMBSSIM(const uint8_t* yuv1, const uint8_t* yuv2) {
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int x, y;
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SSIMStats s = { .0, .0, .0, .0, .0, .0 };
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DistoStats s = { .0, .0, .0, .0, .0, .0 };
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// compute SSIM in a 10 x 10 window
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for (x = 3; x < 13; x++) {
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for (y = 3; y < 13; y++) {
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Accumulate(yuv1 + Y_OFF, BPS, yuv2 + Y_OFF, BPS, x, y, 16, 16, &s);
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VP8SSIMAccumulate(yuv1 + Y_OFF, BPS, yuv2 + Y_OFF, BPS, x, y, 16, 16, &s);
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}
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}
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for (x = 1; x < 7; x++) {
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for (y = 1; y < 7; y++) {
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Accumulate(yuv1 + U_OFF, BPS, yuv2 + U_OFF, BPS, x, y, 8, 8, &s);
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Accumulate(yuv1 + V_OFF, BPS, yuv2 + V_OFF, BPS, x, y, 8, 8, &s);
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VP8SSIMAccumulate(yuv1 + U_OFF, BPS, yuv2 + U_OFF, BPS, x, y, 8, 8, &s);
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VP8SSIMAccumulate(yuv1 + V_OFF, BPS, yuv2 + V_OFF, BPS, x, y, 8, 8, &s);
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}
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}
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return GetSSIM(&s);
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return VP8SSIMGet(&s);
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}
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//------------------------------------------------------------------------------
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@ -11,6 +11,7 @@
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#include <assert.h>
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#include <stdlib.h>
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#include <math.h>
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#include "./vp8enci.h"
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@ -659,7 +660,58 @@ void WebPCleanupTransparentArea(WebPPicture* const pic) {
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#undef SIZE2
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//------------------------------------------------------------------------------
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// Simplest call:
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// Distortion
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// Max value returned in case of exact similarity.
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static const double kMinDistortion_dB = 99.;
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int WebPPictureDistortion(const WebPPicture* const pic1,
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const WebPPicture* const pic2,
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int type, float result[5]) {
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int c;
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DistoStats stats[5];
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if (pic1->width != pic2->width ||
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pic1->height != pic2->height ||
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(pic1->a == NULL) != (pic2->a == NULL)) {
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return 0;
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}
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memset(stats, 0, sizeof(stats));
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VP8SSIMAccumulatePlane(pic1->y, pic1->y_stride,
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pic2->y, pic2->y_stride,
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pic1->width, pic1->height, &stats[0]);
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VP8SSIMAccumulatePlane(pic1->u, pic1->uv_stride,
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pic2->u, pic2->uv_stride,
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(pic1->width + 1) >> 1, (pic1->height + 1) >> 1,
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&stats[1]);
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VP8SSIMAccumulatePlane(pic1->v, pic1->uv_stride,
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pic2->v, pic2->uv_stride,
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(pic1->width + 1) >> 1, (pic1->height + 1) >> 1,
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&stats[2]);
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if (pic1->a != NULL) {
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VP8SSIMAccumulatePlane(pic1->a, pic1->a_stride,
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pic2->a, pic2->a_stride,
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pic1->width, pic1->height, &stats[3]);
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}
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for (c = 0; c <= 4; ++c) {
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if (type == 1) {
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const double v = VP8SSIMGet(&stats[c]);
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result[c] = (v < 1.) ? -10.0 * log10(1. - v)
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: kMinDistortion_dB;
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} else {
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const double v = VP8SSIMGetSquaredError(&stats[c]);
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result[c] = (v > 0.) ? -4.3429448 * log(v / (255 * 255.))
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: kMinDistortion_dB;
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}
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// Accumulate forward
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if (c < 4) VP8SSIMAddStats(&stats[c], &stats[4]);
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}
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return 1;
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}
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//------------------------------------------------------------------------------
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// Simplest high-level calls:
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typedef int (*Importer)(WebPPicture* const, const uint8_t* const, int);
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@ -455,9 +455,20 @@ int VP8EncFinishLayer(VP8Encoder* const enc); // finalize coding
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void VP8EncDeleteLayer(VP8Encoder* enc); // reclaim memory
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// in filter.c
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extern void VP8InitFilter(VP8EncIterator* const it);
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extern void VP8StoreFilterStats(VP8EncIterator* const it);
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extern void VP8AdjustFilterStrength(VP8EncIterator* const it);
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// SSIM utils
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typedef struct { double w, xm, ym, xxm, xym, yym; } DistoStats;
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void VP8SSIMAddStats(const DistoStats* const src, DistoStats* const dst);
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void VP8SSIMAccumulatePlane(const uint8_t* src1, int stride1,
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const uint8_t* src2, int stride2,
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int W, int H, DistoStats* const stats);
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double VP8SSIMGet(const DistoStats* const stats);
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double VP8SSIMGetSquaredError(const DistoStats* const stats);
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// autofilter
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void VP8InitFilter(VP8EncIterator* const it);
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void VP8StoreFilterStats(VP8EncIterator* const it);
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void VP8AdjustFilterStrength(VP8EncIterator* const it);
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//------------------------------------------------------------------------------
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@ -248,6 +248,15 @@ WEBP_EXTERN(void) WebPPictureFree(WebPPicture* const picture);
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WEBP_EXTERN(int) WebPPictureCopy(const WebPPicture* const src,
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WebPPicture* const dst);
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// Compute PSNR or SSIM distortion between two pictures.
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// Result is in dB, stores in result[] in the Y/U/V/Alpha/All order.
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// Returns 0 in case of error (pic1 and pic2 don't have same dimension, ...)
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// Warning: this function is rather CPU-intensive.
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WEBP_EXTERN(int) WebPPictureDistortion(
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const WebPPicture* const pic1, const WebPPicture* const pic2,
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int metric_type, // 0 = PSNR, 1 = SSIM
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float result[5]);
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// self-crops a picture to the rectangle defined by top/left/width/height.
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// Returns 0 in case of memory allocation error, or if the rectangle is
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// outside of the source picture.
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