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Merge "refactor the PSNR / SSIM calculation code"

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This commit is contained in:
Pascal Massimino
2016-09-14 06:37:56 +00:00
committed by Gerrit Code Review
parent d6228aed6a 50c3d7da9a
commit a7be73280b
4 changed files with 153 additions and 42 deletions
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6
src/dsp/dsp.h
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@@ -250,7 +250,7 @@ extern VP8GetResidualCostFunc VP8GetResidualCost;
void VP8EncDspCostInit(void);
//------------------------------------------------------------------------------
// SSIM utils
// SSIM / PSNR utils
// struct for accumulating statistical moments
typedef struct {
@@ -275,6 +275,10 @@ typedef void (*VP8SSIMAccumulateFunc)(const uint8_t* src1, int stride1,
extern VP8SSIMAccumulateFunc VP8SSIMAccumulate; // unclipped / unchecked
extern VP8SSIMAccumulateClippedFunc VP8SSIMAccumulateClipped; // with clipping
typedef uint32_t (*VP8AccumulateSSEFunc)(const uint8_t* src1,
const uint8_t* src2, int len);
extern VP8AccumulateSSEFunc VP8AccumulateSSE;
// must be called before using any of the above directly
void VP8SSIMDspInit(void);

25
src/dsp/enc.c
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@@ -691,6 +691,7 @@ static void Copy16x8(const uint8_t* src, uint8_t* dst) {
}
//------------------------------------------------------------------------------
// SSIM / PSNR
static void SSIMAccumulateClipped(const uint8_t* src1, int stride1,
const uint8_t* src2, int stride2,
@@ -737,8 +738,23 @@ static void SSIMAccumulate(const uint8_t* src1, int stride1,
}
}
static uint32_t AccumulateSSE(const uint8_t* src1,
const uint8_t* src2, int len) {
int i;
uint32_t sse2 = 0;
assert(len <= 65535); // to ensure that accumulation fits within uint32_t
for (i = 0; i < len; ++i) {
const int32_t diff = src1[i] - src2[i];
sse2 += diff * diff;
}
return sse2;
}
VP8SSIMAccumulateFunc VP8SSIMAccumulate;
VP8SSIMAccumulateClippedFunc VP8SSIMAccumulateClipped;
VP8AccumulateSSEFunc VP8AccumulateSSE;
extern void VP8SSIMDspInitSSE2(void);
static volatile VP8CPUInfo ssim_last_cpuinfo_used =
(VP8CPUInfo)&ssim_last_cpuinfo_used;
@@ -749,6 +765,15 @@ WEBP_TSAN_IGNORE_FUNCTION void VP8SSIMDspInit(void) {
VP8SSIMAccumulate = SSIMAccumulate;
VP8SSIMAccumulateClipped = SSIMAccumulateClipped;
VP8AccumulateSSE = AccumulateSSE;
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8SSIMDspInitSSE2();
}
#endif
}
ssim_last_cpuinfo_used = VP8GetCPUInfo;
}

48
src/dsp/enc_sse2.c
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@@ -1365,8 +1365,56 @@ WEBP_TSAN_IGNORE_FUNCTION void VP8EncDspInitSSE2(void) {
VP8Mean16x4 = Mean16x4;
}
//------------------------------------------------------------------------------
// SSIM / PSNR entry point (TODO(skal): move to its own file later)
static uint32_t AccumulateSSE_SSE2(const uint8_t* src1,
const uint8_t* src2, int len) {
int i = 0;
uint32_t sse2 = 0;
if (len >= 16) {
const int limit = len - 32;
int32_t tmp[4];
__m128i sum1;
__m128i sum = _mm_setzero_si128();
__m128i a0 = _mm_loadu_si128((const __m128i*)&src1[i]);
__m128i b0 = _mm_loadu_si128((const __m128i*)&src2[i]);
i += 16;
while (i <= limit) {
const __m128i a1 = _mm_loadu_si128((const __m128i*)&src1[i]);
const __m128i b1 = _mm_loadu_si128((const __m128i*)&src2[i]);
__m128i sum2;
i += 16;
SubtractAndAccumulate(a0, b0, &sum1);
sum = _mm_add_epi32(sum, sum1);
a0 = _mm_loadu_si128((const __m128i*)&src1[i]);
b0 = _mm_loadu_si128((const __m128i*)&src2[i]);
i += 16;
SubtractAndAccumulate(a1, b1, &sum2);
sum = _mm_add_epi32(sum, sum2);
}
SubtractAndAccumulate(a0, b0, &sum1);
sum = _mm_add_epi32(sum, sum1);
_mm_storeu_si128((__m128i*)tmp, sum);
sse2 += (tmp[3] + tmp[2] + tmp[1] + tmp[0]);
}
for (; i < len; ++i) {
const int32_t diff = src1[i] - src2[i];
sse2 += diff * diff;
}
return sse2;
}
extern void VP8SSIMDspInitSSE2(void);
WEBP_TSAN_IGNORE_FUNCTION void VP8SSIMDspInitSSE2(void) {
VP8AccumulateSSE = AccumulateSSE_SSE2;
}
#else // !WEBP_USE_SSE2
WEBP_DSP_INIT_STUB(VP8EncDspInitSSE2)
WEBP_DSP_INIT_STUB(VP8SSIMDspInitSSE2)
#endif // WEBP_USE_SSE2

116
src/enc/picture_psnr.c
View File

@@ -25,9 +25,9 @@
#define RADIUS 2 // search radius. Shouldn't be too large.
static void AccumulateLSIM(const uint8_t* src, int src_stride,
const uint8_t* ref, int ref_stride,
int w, int h, VP8DistoStats* stats) {
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) {
@@ -50,37 +50,52 @@ static void AccumulateLSIM(const uint8_t* src, int src_stride,
total_sse += best_sse;
}
}
stats->w = w * h;
stats->xm = 0;
stats->ym = 0;
stats->xxm = total_sse;
stats->yym = 0;
stats->xxm = 0;
return total_sse;
}
#undef RADIUS
static double AccumulateSSE(const uint8_t* src, int src_stride,
const uint8_t* ref, int ref_stride,
int w, int h) {
int y;
double total_sse = 0.;
for (y = 0; y < h; ++y) {
total_sse += VP8AccumulateSSE(src, ref, w);
src += src_stride;
ref += ref_stride;
}
return total_sse;
}
//------------------------------------------------------------------------------
// 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);
static double GetPSNR(double v, double size) {
return (v > 0. && size > 0.) ? -4.3429448 * log(v / (size * 255 * 255.))
: kMinDistortion_dB;
}
static double GetLogSSIM(double v, double size) {
v = (size > 0.) ? v / size : 1.;
return (v < 1.) ? -10.0 * log10(1. - v) : kMinDistortion_dB;
}
int WebPPictureDistortion(const WebPPicture* src, const WebPPicture* ref,
int type, float result[5]) {
int type, float results[5]) {
int w, h, c;
double disto[4] = { 0. };
double sizes[4] = { 0. };
double total_size = 0., total_disto = 0.;
VP8DistoStats stats[5];
int w, h;
memset(stats, 0, sizeof(stats));
VP8SSIMDspInit();
memset(stats, 0, sizeof(stats));
if (src == NULL || ref == NULL ||
src->width != ref->width || src->height != ref->height ||
src->use_argb != ref->use_argb || result == NULL) {
src->use_argb != ref->use_argb || results == NULL) {
return 0;
}
w = src->width;
@@ -90,7 +105,7 @@ int WebPPictureDistortion(const WebPPicture* src, const WebPPicture* ref,
if (src->argb == NULL || ref->argb == NULL) {
return 0;
} else {
int i, j, c;
int i, j;
uint8_t* tmp1, *tmp2;
uint8_t* const tmp_plane =
(uint8_t*)WebPSafeMalloc(2ULL * w * h, sizeof(*tmp_plane));
@@ -104,8 +119,11 @@ int WebPPictureDistortion(const WebPPicture* src, const WebPPicture* ref,
tmp2[j * w + i] = ref->argb[i + j * ref->argb_stride] >> (c * 8);
}
}
sizes[c] = w * h;
if (type >= 2) {
AccumulateLSIM(tmp1, w, tmp2, w, w, h, &stats[c]);
disto[c] = AccumulateLSIM(tmp1, w, tmp2, w, w, h);
} else if (type == 0) {
disto[c] = AccumulateSSE(tmp1, w, tmp2, w, w, h);
} else {
VP8SSIMAccumulatePlane(tmp1, w, tmp2, w, w, h, &stats[c]);
}
@@ -127,16 +145,31 @@ int WebPPictureDistortion(const WebPPicture* src, const WebPPicture* ref,
uv_w = (src->width + 1) >> 1;
uv_h = (src->height + 1) >> 1;
sizes[0] = w * h;
sizes[1] = sizes[2] = uv_w * uv_h;
sizes[3] = has_alpha ? w * h : 0.;
if (type >= 2) {
AccumulateLSIM(src->y, src->y_stride, ref->y, ref->y_stride,
w, h, &stats[0]);
AccumulateLSIM(src->u, src->uv_stride, ref->u, ref->uv_stride,
uv_w, uv_h, &stats[1]);
AccumulateLSIM(src->v, src->uv_stride, ref->v, ref->uv_stride,
uv_w, uv_h, &stats[2]);
disto[0] = AccumulateLSIM(src->y, src->y_stride, ref->y, ref->y_stride,
w, h);
disto[1] = AccumulateLSIM(src->u, src->uv_stride, ref->u, ref->uv_stride,
uv_w, uv_h);
disto[2] = AccumulateLSIM(src->v, src->uv_stride, ref->v, ref->uv_stride,
uv_w, uv_h);
if (has_alpha) {
AccumulateLSIM(src->a, src->a_stride, ref->a, ref->a_stride,
w, h, &stats[3]);
disto[3] = AccumulateLSIM(src->a, src->a_stride, ref->a, ref->a_stride,
w, h);
}
} else if (type == 0) {
disto[0] = AccumulateSSE(src->y, src->y_stride, ref->y, ref->y_stride,
w, h);
disto[1] = AccumulateSSE(src->u, src->uv_stride, ref->u, ref->uv_stride,
uv_w, uv_h);
disto[2] = AccumulateSSE(src->v, src->uv_stride, ref->v, ref->uv_stride,
uv_w, uv_h);
if (has_alpha) {
disto[3] = AccumulateSSE(src->a, src->a_stride, ref->a, ref->a_stride,
w, h);
}
} else {
VP8SSIMAccumulatePlane(src->y, src->y_stride,
@@ -155,22 +188,23 @@ int WebPPictureDistortion(const WebPPicture* src, const WebPPicture* ref,
}
}
}
// Final stat calculations.
{
int c;
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]);
for (c = 0; c < 4; ++c) {
if (type == 1) {
results[c] = (float)GetLogSSIM(VP8SSIMGet(&stats[c]), 1.);
VP8SSIMAddStats(&stats[c], &stats[4]);
} else {
total_disto += disto[c];
total_size += sizes[c];
results[c] = (float)GetPSNR(disto[c], sizes[c]);
}
}
if (type == 1) {
results[4] = (float)GetLogSSIM(VP8SSIMGet(&stats[4]), 1.);
} else {
results[4] = (float)GetPSNR(total_disto, total_size);
}
return 1;
}