mirror of
https://github.com/webmproject/libwebp.git
synced 2024-11-19 20:08:28 +01:00
fix SSIM metric ... by ignoring too-dark area
Roughly, if both the source and the reference areas are darker too dark (R/G/B <= ~6), they are ignored. One caveat: SSIM calculation won't work for U/V planes, which are 128-centered and not related to luminance. But WebPPlaneDistortion() enforces the conversion to RGB, if needed. Change-Id: I586c2579c475583b8c90c5baefd766b1d5aea591
This commit is contained in:
parent
2f51b614b0
commit
31b1e34342
@ -87,6 +87,7 @@ static int DiffScaleChannel(uint8_t* src1, int stride1,
|
||||
// bigger annoyance of having to open up internal details of libdsp...
|
||||
|
||||
#define SSIM_KERNEL 3 // total size of the kernel: 2 * SSIM_KERNEL + 1
|
||||
|
||||
// struct for accumulating statistical moments
|
||||
typedef struct {
|
||||
uint32_t w; // sum(w_i) : sum of weights
|
||||
@ -102,20 +103,24 @@ static WEBP_INLINE double SSIMCalculation(const DistoStats* const stats) {
|
||||
const uint32_t w2 = N * N;
|
||||
const uint32_t C1 = 20 * w2;
|
||||
const uint32_t C2 = 60 * w2;
|
||||
const uint32_t C3 = 8 * 8 * w2; // 'dark' limit ~= 6
|
||||
const uint64_t xmxm = (uint64_t)stats->xm * stats->xm;
|
||||
const uint64_t ymym = (uint64_t)stats->ym * stats->ym;
|
||||
const int64_t xmym = (int64_t)stats->xm * stats->ym;
|
||||
const int64_t sxy = (int64_t)stats->xym * N - xmym; // can be negative
|
||||
const uint64_t sxx = (uint64_t)stats->xxm * N - xmxm;
|
||||
const uint64_t syy = (uint64_t)stats->yym * N - ymym;
|
||||
// we descale by 8 to prevent overflow during the fnum/fden multiply.
|
||||
const uint64_t num_S = (2 * (uint64_t)(sxy < 0 ? 0 : sxy) + C2) >> 8;
|
||||
const uint64_t den_S = (sxx + syy + C2) >> 8;
|
||||
const uint64_t fnum = (2 * xmym + C1) * num_S;
|
||||
const uint64_t fden = (xmxm + ymym + C1) * den_S;
|
||||
const double r = (double)fnum / fden;
|
||||
assert(r >= 0. && r <= 1.0);
|
||||
return r;
|
||||
if (xmxm + ymym >= C3) {
|
||||
const int64_t xmym = (int64_t)stats->xm * stats->ym;
|
||||
const int64_t sxy = (int64_t)stats->xym * N - xmym; // can be negative
|
||||
const uint64_t sxx = (uint64_t)stats->xxm * N - xmxm;
|
||||
const uint64_t syy = (uint64_t)stats->yym * N - ymym;
|
||||
// we descale by 8 to prevent overflow during the fnum/fden multiply.
|
||||
const uint64_t num_S = (2 * (uint64_t)(sxy < 0 ? 0 : sxy) + C2) >> 8;
|
||||
const uint64_t den_S = (sxx + syy + C2) >> 8;
|
||||
const uint64_t fnum = (2 * xmym + C1) * num_S;
|
||||
const uint64_t fden = (xmxm + ymym + C1) * den_S;
|
||||
const double r = (double)fnum / fden;
|
||||
assert(r >= 0. && r <= 1.0);
|
||||
return r;
|
||||
}
|
||||
return 1.; // area is too dark to contribute meaningfully
|
||||
}
|
||||
|
||||
static double SSIMGetClipped(const uint8_t* src1, int stride1,
|
||||
|
@ -704,20 +704,24 @@ static WEBP_INLINE double SSIMCalculation(
|
||||
const uint32_t w2 = N * N;
|
||||
const uint32_t C1 = 20 * w2;
|
||||
const uint32_t C2 = 60 * w2;
|
||||
const uint32_t C3 = 8 * 8 * w2; // 'dark' limit ~= 6
|
||||
const uint64_t xmxm = (uint64_t)stats->xm * stats->xm;
|
||||
const uint64_t ymym = (uint64_t)stats->ym * stats->ym;
|
||||
const int64_t xmym = (int64_t)stats->xm * stats->ym;
|
||||
const int64_t sxy = (int64_t)stats->xym * N - xmym; // can be negative
|
||||
const uint64_t sxx = (uint64_t)stats->xxm * N - xmxm;
|
||||
const uint64_t syy = (uint64_t)stats->yym * N - ymym;
|
||||
// we descale by 8 to prevent overflow during the fnum/fden multiply.
|
||||
const uint64_t num_S = (2 * (uint64_t)(sxy < 0 ? 0 : sxy) + C2) >> 8;
|
||||
const uint64_t den_S = (sxx + syy + C2) >> 8;
|
||||
const uint64_t fnum = (2 * xmym + C1) * num_S;
|
||||
const uint64_t fden = (xmxm + ymym + C1) * den_S;
|
||||
const double r = (double)fnum / fden;
|
||||
assert(r >= 0. && r <= 1.0);
|
||||
return r;
|
||||
if (xmxm + ymym >= C3) {
|
||||
const int64_t xmym = (int64_t)stats->xm * stats->ym;
|
||||
const int64_t sxy = (int64_t)stats->xym * N - xmym; // can be negative
|
||||
const uint64_t sxx = (uint64_t)stats->xxm * N - xmxm;
|
||||
const uint64_t syy = (uint64_t)stats->yym * N - ymym;
|
||||
// we descale by 8 to prevent overflow during the fnum/fden multiply.
|
||||
const uint64_t num_S = (2 * (uint64_t)(sxy < 0 ? 0 : sxy) + C2) >> 8;
|
||||
const uint64_t den_S = (sxx + syy + C2) >> 8;
|
||||
const uint64_t fnum = (2 * xmym + C1) * num_S;
|
||||
const uint64_t fden = (xmxm + ymym + C1) * den_S;
|
||||
const double r = (double)fnum / fden;
|
||||
assert(r >= 0. && r <= 1.0);
|
||||
return r;
|
||||
}
|
||||
return 1.; // area is too dark to contribute meaningfully
|
||||
}
|
||||
|
||||
double VP8SSIMFromStats(const VP8DistoStats* const stats) {
|
||||
|
Loading…
Reference in New Issue
Block a user