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add LSIM metric to WebPPictureDistortion()

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LSIM stands for "local similarity": before matching
a compressed pixel to the source, we search around in the source
and minimise the squared error. So, this is close to PSNR calculation,
but mitigates some of its limitations (pure translation and noise for instance).

There's a new -print_lsim option to cwebp too.

Change-Id: Ia38561034c7a90e71d2ea0f55bb1de527eda245b
This commit is contained in:
Pascal Massimino 2012-10-18 08:26:40 -07:00
parent c3aa215afa
commit f86e6abe1f
5 changed files with 129 additions and 52 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
README
View File

@ -158,8 +158,9 @@ options:
-crop <x> <y> <w> <h> .. crop picture with the given rectangle
-resize <w> <h> ........ resize picture (after any cropping)
-map <int> ............. print map of extra info.
-print_ssim ............ prints averaged SSIM distortion.
-print_psnr ............ prints averaged PSNR distortion.
-print_ssim ............ prints averaged SSIM distortion.
-print_lsim ............ prints local-similarity distortion.
-d <file.pgm> .......... dump the compressed output (PGM file).
-alpha_method <int> .... Transparency-compression method (0..1)
-alpha_filter <string> . predictive filtering for alpha plane.

23
examples/cwebp.c
View File

@ -833,8 +833,9 @@ static void HelpLong(void) {
printf(" -444 / -422 / -gray ..... Change colorspace\n");
#endif
printf(" -map <int> ............. print map of extra info.\n");
printf(" -print_ssim ............ prints averaged SSIM distortion.\n");
printf(" -print_psnr ............ prints averaged PSNR distortion.\n");
printf(" -print_ssim ............ prints averaged SSIM distortion.\n");
printf(" -print_lsim ............ prints local-similarity distortion.\n");
printf(" -d <file.pgm> .......... dump the compressed output (PGM file).\n");
printf(" -alpha_method <int> .... Transparency-compression method (0..1)\n");
printf(" -alpha_filter <string> . predictive filtering for alpha plane.\n");
@ -898,7 +899,7 @@ int main(int argc, const char *argv[]) {
int resize_w = 0, resize_h = 0;
int show_progress = 0;
WebPPicture picture;
int print_distortion = 0; // 1=PSNR, 2=SSIM
int print_distortion = -1; // -1=off, 0=PSNR, 1=SSIM, 2=LSIM
WebPPicture original_picture; // when PSNR or SSIM is requested
WebPConfig config;
WebPAuxStats stats;
@ -928,12 +929,15 @@ int main(int argc, const char *argv[]) {
} else if (!strcmp(argv[c], "-d") && c < argc - 1) {
dump_file = argv[++c];
config.show_compressed = 1;
} else if (!strcmp(argv[c], "-print_ssim")) {
config.show_compressed = 1;
print_distortion = 2;
} else if (!strcmp(argv[c], "-print_psnr")) {
config.show_compressed = 1;
print_distortion = 0;
} else if (!strcmp(argv[c], "-print_ssim")) {
config.show_compressed = 1;
print_distortion = 1;
} else if (!strcmp(argv[c], "-print_lsim")) {
config.show_compressed = 1;
print_distortion = 2;
} else if (!strcmp(argv[c], "-short")) {
short_output++;
} else if (!strcmp(argv[c], "-s") && c < argc - 2) {
@ -1149,7 +1153,7 @@ int main(int argc, const char *argv[]) {
if (picture.extra_info_type > 0) {
AllocExtraInfo(&picture);
}
if (print_distortion > 0) { // Save original picture for later comparison
if (print_distortion >= 0) { // Save original picture for later comparison
WebPPictureCopy(&picture, &original_picture);
}
if (!WebPEncode(&config, &picture)) {
@ -1179,12 +1183,13 @@ int main(int argc, const char *argv[]) {
PrintExtraInfoLossy(&picture, short_output, in_file);
}
}
if (!quiet && !short_output && print_distortion > 0) { // print distortion
if (!quiet && !short_output && print_distortion >= 0) { // print distortion
static const char* distortion_names[] = { "PSNR", "SSIM", "LSIM" };
float values[5];
WebPPictureDistortion(&picture, &original_picture,
(print_distortion == 1) ? 0 : 1, values);
print_distortion, values);
fprintf(stderr, "%s: Y:%.2f U:%.2f V:%.2f A:%.2f Total:%.2f\n",
(print_distortion == 1) ? "PSNR" : "SSIM",
distortion_names[print_distortion],
values[0], values[1], values[2], values[3], values[4]);
}
return_value = 0;

3
man/cwebp.1
View File

@ -178,6 +178,9 @@ Compute and report average PSNR (Peak-Signal-To-Noise ratio).
.B \-print_ssim
Compute and report average SSIM (structural similarity metric)
.TP
.B \-print_lsim
Compute and report local similarity metric.
.TP
.B \-progress
Report encoding progress in percent.
.TP

144
src/enc/picture.c
View File

@ -906,67 +906,135 @@ void WebPCleanupTransparentArea(WebPPicture* pic) {
#undef SIZE
#undef SIZE2
//------------------------------------------------------------------------------
// local-min distortion
//
// For every pixel in the *reference* picture, we search for the local best
// match in the compressed image. This is not a symmetrical measure.
// search radius. Shouldn't be too large.
#define RADIUS 2
static double AccumulateLSIM(const uint8_t* src, int src_stride,
const uint8_t* ref, int ref_stride,
int w, int h) {
int x, y;
double total_sse = 0.;
for (y = 0; y < h; ++y) {
const int y0 = (y - RADIUS < 0) ? 0 : y - RADIUS;
const int y1 = (y + RADIUS + 1 >= h) ? h : y + RADIUS + 1;
for (x = 0; x < w; ++x) {
const int x0 = (x - RADIUS < 0) ? 0 : x - RADIUS;
const int x1 = (x + RADIUS + 1 >= w) ? w : x + RADIUS + 1;
double best_sse = 255. * 255.;
const double value = (double)ref[y * ref_stride + x];
int i, j;
for (j = y0; j < y1; ++j) {
const uint8_t* s = src + j * src_stride;
for (i = x0; i < x1; ++i) {
const double sse = (double)(s[i] - value) * (s[i] - value);
if (sse < best_sse) best_sse = sse;
}
}
total_sse += best_sse;
}
}
return total_sse;
}
#undef RADIUS
//------------------------------------------------------------------------------
// Distortion
// Max value returned in case of exact similarity.
static const double kMinDistortion_dB = 99.;
static float GetPSNR(const double v) {
return (float)((v > 0.) ? -4.3429448 * log(v / (255 * 255.))
: kMinDistortion_dB);
}
int WebPPictureDistortion(const WebPPicture* pic1, const WebPPicture* pic2,
int WebPPictureDistortion(const WebPPicture* src, const WebPPicture* ref,
int type, float result[5]) {
int c;
DistoStats stats[5];
int has_alpha;
int uv_w, uv_h;
if (pic1 == NULL || pic2 == NULL ||
pic1->width != pic2->width || pic1->height != pic2->height ||
pic1->y == NULL || pic2->y == NULL ||
pic1->u == NULL || pic2->u == NULL ||
pic1->v == NULL || pic2->v == NULL ||
if (src == NULL || ref == NULL ||
src->width != ref->width || src->height != ref->height ||
src->y == NULL || ref->y == NULL ||
src->u == NULL || ref->u == NULL ||
src->v == NULL || ref->v == NULL ||
result == NULL) {
return 0;
}
// TODO(skal): provide distortion for ARGB too.
if (pic1->use_argb == 1 || pic1->use_argb != pic2->use_argb) {
if (src->use_argb == 1 || src->use_argb != ref->use_argb) {
return 0;
}
has_alpha = !!(pic1->colorspace & WEBP_CSP_ALPHA_BIT);
if (has_alpha != !!(pic2->colorspace & WEBP_CSP_ALPHA_BIT) ||
(has_alpha && (pic1->a == NULL || pic2->a == NULL))) {
has_alpha = !!(src->colorspace & WEBP_CSP_ALPHA_BIT);
if (has_alpha != !!(ref->colorspace & WEBP_CSP_ALPHA_BIT) ||
(has_alpha && (src->a == NULL || ref->a == NULL))) {
return 0;
}
memset(stats, 0, sizeof(stats));
VP8SSIMAccumulatePlane(pic1->y, pic1->y_stride,
pic2->y, pic2->y_stride,
pic1->width, pic1->height, &stats[0]);
VP8SSIMAccumulatePlane(pic1->u, pic1->uv_stride,
pic2->u, pic2->uv_stride,
(pic1->width + 1) >> 1, (pic1->height + 1) >> 1,
&stats[1]);
VP8SSIMAccumulatePlane(pic1->v, pic1->uv_stride,
pic2->v, pic2->uv_stride,
(pic1->width + 1) >> 1, (pic1->height + 1) >> 1,
&stats[2]);
if (has_alpha) {
VP8SSIMAccumulatePlane(pic1->a, pic1->a_stride,
pic2->a, pic2->a_stride,
pic1->width, pic1->height, &stats[3]);
}
for (c = 0; c <= 4; ++c) {
if (type == 1) {
const double v = VP8SSIMGet(&stats[c]);
result[c] = (float)((v < 1.) ? -10.0 * log10(1. - v)
: kMinDistortion_dB);
} else {
const double v = VP8SSIMGetSquaredError(&stats[c]);
result[c] = (float)((v > 0.) ? -4.3429448 * log(v / (255 * 255.))
: kMinDistortion_dB);
uv_w = HALVE(src->width);
uv_h = HALVE(src->height);
if (type >= 2) {
float sse[4];
sse[0] = AccumulateLSIM(src->y, src->y_stride,
ref->y, ref->y_stride, src->width, src->height);
sse[1] = AccumulateLSIM(src->u, src->uv_stride,
ref->u, ref->uv_stride, uv_w, uv_h);
sse[2] = AccumulateLSIM(src->v, src->uv_stride,
ref->v, ref->uv_stride, uv_w, uv_h);
sse[3] = has_alpha ? AccumulateLSIM(src->a, src->a_stride,
ref->a, ref->a_stride,
src->width, src->height)
: 0;
result[0] = GetPSNR(sse[0] / (src->width * src->height));
result[1] = GetPSNR(sse[1] / (uv_w * uv_h));
result[2] = GetPSNR(sse[2] / (uv_w * uv_h));
result[3] = GetPSNR(sse[3] / (src->width * src->height));
{
double total_sse = sse[0] + sse[1] + sse[2];
int total_pixels = src->width * src->height + 2 * uv_w * uv_h;
if (has_alpha) {
total_pixels += src->width * src->height;
total_sse += sse[3];
}
result[4] = GetPSNR(total_sse / total_pixels);
}
} else {
int c;
VP8SSIMAccumulatePlane(src->y, src->y_stride,
ref->y, ref->y_stride,
src->width, src->height, &stats[0]);
VP8SSIMAccumulatePlane(src->u, src->uv_stride,
ref->u, ref->uv_stride,
uv_w, uv_h, &stats[1]);
VP8SSIMAccumulatePlane(src->v, src->uv_stride,
ref->v, ref->uv_stride,
uv_w, uv_h, &stats[2]);
if (has_alpha) {
VP8SSIMAccumulatePlane(src->a, src->a_stride,
ref->a, ref->a_stride,
src->width, src->height, &stats[3]);
}
for (c = 0; c <= 4; ++c) {
if (type == 1) {
const double v = VP8SSIMGet(&stats[c]);
result[c] = (float)((v < 1.) ? -10.0 * log10(1. - v)
: kMinDistortion_dB);
} else {
const double v = VP8SSIMGetSquaredError(&stats[c]);
result[c] = GetPSNR(v);
}
// Accumulate forward
if (c < 4) VP8SSIMAddStats(&stats[c], &stats[4]);
}
// Accumulate forward
if (c < 4) VP8SSIMAddStats(&stats[c], &stats[4]);
}
return 1;
}

8
src/webp/encode.h
View File

@ -359,13 +359,13 @@ WEBP_EXTERN(void) WebPPictureFree(WebPPicture* picture);
// Returns false in case of memory allocation error.
WEBP_EXTERN(int) WebPPictureCopy(const WebPPicture* src, WebPPicture* dst);
// Compute PSNR or SSIM distortion between two pictures.
// Compute PSNR, SSIM or LSIM distortion metric between two pictures.
// Result is in dB, stores in result[] in the Y/U/V/Alpha/All order.
// Returns false in case of error (pic1 and pic2 don't have same dimension, ...)
// Returns false in case of error (src and ref don't have same dimension, ...)
// Warning: this function is rather CPU-intensive.
WEBP_EXTERN(int) WebPPictureDistortion(
const WebPPicture* pic1, const WebPPicture* pic2,
int metric_type, // 0 = PSNR, 1 = SSIM
const WebPPicture* src, const WebPPicture* ref,
int metric_type, // 0 = PSNR, 1 = SSIM, 2 = LSIM
float result[5]);
// self-crops a picture to the rectangle defined by top/left/width/height.