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move the SSIM calculation code in ssim.c / ssim_sse2.c

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Change-Id: I63a63fa7f44f257f2e17e45358b206c23069c448
This commit is contained in:
Pascal Massimino 2017-02-20 17:27:15 +01:00
parent 10d791ca70
commit 693bf74ec0
9 changed files with 316 additions and 245 deletions
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2
Android.mk
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@ -101,6 +101,8 @@ dsp_enc_srcs := \
src/dsp/lossless_enc_neon.$(NEON) \
src/dsp/lossless_enc_sse2.c \
src/dsp/lossless_enc_sse41.c \
src/dsp/ssim.c \
src/dsp/ssim_sse2.c \
enc_srcs := \
src/enc/alpha_enc.c \

2
Makefile.vc
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@ -254,6 +254,8 @@ DSP_ENC_OBJS = \
$(DIROBJ)\dsp\lossless_enc_neon.obj \
$(DIROBJ)\dsp\lossless_enc_sse2.obj \
$(DIROBJ)\dsp\lossless_enc_sse41.obj \
$(DIROBJ)\dsp\ssim.obj \
$(DIROBJ)\dsp\ssim_sse2.obj \
EX_ANIM_UTIL_OBJS = \
$(DIROBJ)\examples\anim_util.obj \

2
build.gradle
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@ -179,6 +179,8 @@ model {
include "lossless_enc_neon.$NEON"
include "lossless_enc_sse2.c"
include "lossless_enc_sse41.c"
include "ssim.c"
include "ssim_sse2.c"
srcDir "src/enc"
include "alpha_enc.c"
include "analysis_enc.c"

2
makefile.unix
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@ -192,6 +192,8 @@ DSP_ENC_OBJS = \
src/dsp/lossless_enc_neon.o \
src/dsp/lossless_enc_sse2.o \
src/dsp/lossless_enc_sse41.o \
src/dsp/ssim.o \
src/dsp/ssim_sse2.o \
ENC_OBJS = \
src/enc/alpha_enc.o \

2
src/dsp/Makefile.am
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@ -50,6 +50,7 @@ ENC_SOURCES += enc_mips_dsp_r2.c
ENC_SOURCES += lossless_enc.c
ENC_SOURCES += lossless_enc_mips32.c
ENC_SOURCES += lossless_enc_mips_dsp_r2.c
ENC_SOURCES += ssim.c
libwebpdsp_avx2_la_SOURCES =
libwebpdsp_avx2_la_SOURCES += enc_avx2.c
@ -99,6 +100,7 @@ libwebpdsp_sse2_la_SOURCES += argb_sse2.c
libwebpdsp_sse2_la_SOURCES += cost_sse2.c
libwebpdsp_sse2_la_SOURCES += enc_sse2.c
libwebpdsp_sse2_la_SOURCES += lossless_enc_sse2.c
libwebpdsp_sse2_la_SOURCES += ssim_sse2.c
libwebpdsp_sse2_la_CPPFLAGS = $(libwebpdsp_la_CPPFLAGS)
libwebpdsp_sse2_la_CFLAGS = $(AM_CFLAGS) $(SSE2_FLAGS)
libwebpdsp_sse2_la_LIBADD = libwebpdspdecode_sse2.la

134
src/dsp/enc.c
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@ -690,140 +690,6 @@ static void Copy16x8(const uint8_t* src, uint8_t* dst) {
Copy(src, dst, 16, 8);
}
//------------------------------------------------------------------------------
// SSIM / PSNR
// hat-shaped filter. Sum of coefficients is equal to 16.
static const uint32_t kWeight[2 * VP8_SSIM_KERNEL + 1] = {
1, 2, 3, 4, 3, 2, 1
};
static const uint32_t kWeightSum = 16 * 16; // sum{kWeight}^2
static WEBP_INLINE double SSIMCalculation(
const VP8DistoStats* const stats, uint32_t N /*num samples*/) {
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;
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) {
return SSIMCalculation(stats, kWeightSum);
}
double VP8SSIMFromStatsClipped(const VP8DistoStats* const stats) {
return SSIMCalculation(stats, stats->w);
}
static double SSIMGetClipped_C(const uint8_t* src1, int stride1,
const uint8_t* src2, int stride2,
int xo, int yo, int W, int H) {
VP8DistoStats stats = { 0, 0, 0, 0, 0, 0 };
const int ymin = (yo - VP8_SSIM_KERNEL < 0) ? 0 : yo - VP8_SSIM_KERNEL;
const int ymax = (yo + VP8_SSIM_KERNEL > H - 1) ? H - 1
: yo + VP8_SSIM_KERNEL;
const int xmin = (xo - VP8_SSIM_KERNEL < 0) ? 0 : xo - VP8_SSIM_KERNEL;
const int xmax = (xo + VP8_SSIM_KERNEL > W - 1) ? W - 1
: xo + VP8_SSIM_KERNEL;
int x, y;
src1 += ymin * stride1;
src2 += ymin * stride2;
for (y = ymin; y <= ymax; ++y, src1 += stride1, src2 += stride2) {
for (x = xmin; x <= xmax; ++x) {
const uint32_t w = kWeight[VP8_SSIM_KERNEL + x - xo]
* kWeight[VP8_SSIM_KERNEL + y - yo];
const uint32_t s1 = src1[x];
const uint32_t s2 = src2[x];
stats.w += w;
stats.xm += w * s1;
stats.ym += w * s2;
stats.xxm += w * s1 * s1;
stats.xym += w * s1 * s2;
stats.yym += w * s2 * s2;
}
}
return VP8SSIMFromStatsClipped(&stats);
}
static double SSIMGet_C(const uint8_t* src1, int stride1,
const uint8_t* src2, int stride2) {
VP8DistoStats stats = { 0, 0, 0, 0, 0, 0 };
int x, y;
for (y = 0; y <= 2 * VP8_SSIM_KERNEL; ++y, src1 += stride1, src2 += stride2) {
for (x = 0; x <= 2 * VP8_SSIM_KERNEL; ++x) {
const uint32_t w = kWeight[x] * kWeight[y];
const uint32_t s1 = src1[x];
const uint32_t s2 = src2[x];
stats.xm += w * s1;
stats.ym += w * s2;
stats.xxm += w * s1 * s1;
stats.xym += w * s1 * s2;
stats.yym += w * s2 * s2;
}
}
return VP8SSIMFromStats(&stats);
}
//------------------------------------------------------------------------------
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;
}
//------------------------------------------------------------------------------
VP8SSIMGetFunc VP8SSIMGet;
VP8SSIMGetClippedFunc VP8SSIMGetClipped;
VP8AccumulateSSEFunc VP8AccumulateSSE;
extern void VP8SSIMDspInitSSE2(void);
static volatile VP8CPUInfo ssim_last_cpuinfo_used =
(VP8CPUInfo)&ssim_last_cpuinfo_used;
WEBP_TSAN_IGNORE_FUNCTION void VP8SSIMDspInit(void) {
if (ssim_last_cpuinfo_used == VP8GetCPUInfo) return;
VP8SSIMGetClipped = SSIMGetClipped_C;
VP8SSIMGet = SSIMGet_C;
VP8AccumulateSSE = AccumulateSSE;
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8SSIMDspInitSSE2();
}
#endif
}
ssim_last_cpuinfo_used = VP8GetCPUInfo;
}
//------------------------------------------------------------------------------
// Initialization

111
src/dsp/enc_sse2.c
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@ -1366,119 +1366,8 @@ 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;
}
static uint32_t HorizontalAdd16b(const __m128i* const m) {
uint16_t tmp[8];
const __m128i a = _mm_srli_si128(*m, 8);
const __m128i b = _mm_add_epi16(*m, a);
_mm_storeu_si128((__m128i*)tmp, b);
return (uint32_t)tmp[3] + tmp[2] + tmp[1] + tmp[0];
}
static uint32_t HorizontalAdd32b(const __m128i* const m) {
const __m128i a = _mm_srli_si128(*m, 8);
const __m128i b = _mm_add_epi32(*m, a);
const __m128i c = _mm_add_epi32(b, _mm_srli_si128(b, 4));
return (uint32_t)_mm_cvtsi128_si32(c);
}
static const uint16_t kWeight[] = { 1, 2, 3, 4, 3, 2, 1, 0 };
#define ACCUMULATE_ROW(WEIGHT) do { \
/* compute row weight (Wx * Wy) */ \
const __m128i Wy = _mm_set1_epi16((WEIGHT)); \
const __m128i W = _mm_mullo_epi16(Wx, Wy); \
/* process 8 bytes at a time (7 bytes, actually) */ \
const __m128i a0 = _mm_loadl_epi64((const __m128i*)src1); \
const __m128i b0 = _mm_loadl_epi64((const __m128i*)src2); \
/* convert to 16b and multiply by weight */ \
const __m128i a1 = _mm_unpacklo_epi8(a0, zero); \
const __m128i b1 = _mm_unpacklo_epi8(b0, zero); \
const __m128i wa1 = _mm_mullo_epi16(a1, W); \
const __m128i wb1 = _mm_mullo_epi16(b1, W); \
/* accumulate */ \
xm = _mm_add_epi16(xm, wa1); \
ym = _mm_add_epi16(ym, wb1); \
xxm = _mm_add_epi32(xxm, _mm_madd_epi16(a1, wa1)); \
xym = _mm_add_epi32(xym, _mm_madd_epi16(a1, wb1)); \
yym = _mm_add_epi32(yym, _mm_madd_epi16(b1, wb1)); \
src1 += stride1; \
src2 += stride2; \
} while (0)
static double SSIMGet_SSE2(const uint8_t* src1, int stride1,
const uint8_t* src2, int stride2) {
VP8DistoStats stats;
const __m128i zero = _mm_setzero_si128();
__m128i xm = zero, ym = zero; // 16b accums
__m128i xxm = zero, yym = zero, xym = zero; // 32b accum
const __m128i Wx = _mm_loadu_si128((const __m128i*)kWeight);
assert(2 * VP8_SSIM_KERNEL + 1 == 7);
ACCUMULATE_ROW(1);
ACCUMULATE_ROW(2);
ACCUMULATE_ROW(3);
ACCUMULATE_ROW(4);
ACCUMULATE_ROW(3);
ACCUMULATE_ROW(2);
ACCUMULATE_ROW(1);
stats.xm = HorizontalAdd16b(&xm);
stats.ym = HorizontalAdd16b(&ym);
stats.xxm = HorizontalAdd32b(&xxm);
stats.xym = HorizontalAdd32b(&xym);
stats.yym = HorizontalAdd32b(&yym);
return VP8SSIMFromStats(&stats);
}
extern void VP8SSIMDspInitSSE2(void);
WEBP_TSAN_IGNORE_FUNCTION void VP8SSIMDspInitSSE2(void) {
VP8AccumulateSSE = AccumulateSSE_SSE2;
VP8SSIMGet = SSIMGet_SSE2;
}
#else // !WEBP_USE_SSE2
WEBP_DSP_INIT_STUB(VP8EncDspInitSSE2)
WEBP_DSP_INIT_STUB(VP8SSIMDspInitSSE2)
#endif // WEBP_USE_SSE2

152
src/dsp/ssim.c Normal file
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@ -0,0 +1,152 @@
// Copyright 2017 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// distortion calculation
//
// Author: Skal (pascal.massimino@gmail.com)
#include <assert.h>
#include <stdlib.h> // for abs()
#include "./dsp.h"
//#include "../enc/vp8i_enc.h"
//------------------------------------------------------------------------------
// SSIM / PSNR
// hat-shaped filter. Sum of coefficients is equal to 16.
static const uint32_t kWeight[2 * VP8_SSIM_KERNEL + 1] = {
1, 2, 3, 4, 3, 2, 1
};
static const uint32_t kWeightSum = 16 * 16; // sum{kWeight}^2
static WEBP_INLINE double SSIMCalculation(
const VP8DistoStats* const stats, uint32_t N /*num samples*/) {
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;
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) {
return SSIMCalculation(stats, kWeightSum);
}
double VP8SSIMFromStatsClipped(const VP8DistoStats* const stats) {
return SSIMCalculation(stats, stats->w);
}
static double SSIMGetClipped_C(const uint8_t* src1, int stride1,
const uint8_t* src2, int stride2,
int xo, int yo, int W, int H) {
VP8DistoStats stats = { 0, 0, 0, 0, 0, 0 };
const int ymin = (yo - VP8_SSIM_KERNEL < 0) ? 0 : yo - VP8_SSIM_KERNEL;
const int ymax = (yo + VP8_SSIM_KERNEL > H - 1) ? H - 1
: yo + VP8_SSIM_KERNEL;
const int xmin = (xo - VP8_SSIM_KERNEL < 0) ? 0 : xo - VP8_SSIM_KERNEL;
const int xmax = (xo + VP8_SSIM_KERNEL > W - 1) ? W - 1
: xo + VP8_SSIM_KERNEL;
int x, y;
src1 += ymin * stride1;
src2 += ymin * stride2;
for (y = ymin; y <= ymax; ++y, src1 += stride1, src2 += stride2) {
for (x = xmin; x <= xmax; ++x) {
const uint32_t w = kWeight[VP8_SSIM_KERNEL + x - xo]
* kWeight[VP8_SSIM_KERNEL + y - yo];
const uint32_t s1 = src1[x];
const uint32_t s2 = src2[x];
stats.w += w;
stats.xm += w * s1;
stats.ym += w * s2;
stats.xxm += w * s1 * s1;
stats.xym += w * s1 * s2;
stats.yym += w * s2 * s2;
}
}
return VP8SSIMFromStatsClipped(&stats);
}
static double SSIMGet_C(const uint8_t* src1, int stride1,
const uint8_t* src2, int stride2) {
VP8DistoStats stats = { 0, 0, 0, 0, 0, 0 };
int x, y;
for (y = 0; y <= 2 * VP8_SSIM_KERNEL; ++y, src1 += stride1, src2 += stride2) {
for (x = 0; x <= 2 * VP8_SSIM_KERNEL; ++x) {
const uint32_t w = kWeight[x] * kWeight[y];
const uint32_t s1 = src1[x];
const uint32_t s2 = src2[x];
stats.xm += w * s1;
stats.ym += w * s2;
stats.xxm += w * s1 * s1;
stats.xym += w * s1 * s2;
stats.yym += w * s2 * s2;
}
}
return VP8SSIMFromStats(&stats);
}
//------------------------------------------------------------------------------
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;
}
//------------------------------------------------------------------------------
VP8SSIMGetFunc VP8SSIMGet;
VP8SSIMGetClippedFunc VP8SSIMGetClipped;
VP8AccumulateSSEFunc VP8AccumulateSSE;
extern void VP8SSIMDspInitSSE2(void);
static volatile VP8CPUInfo ssim_last_cpuinfo_used =
(VP8CPUInfo)&ssim_last_cpuinfo_used;
WEBP_TSAN_IGNORE_FUNCTION void VP8SSIMDspInit(void) {
if (ssim_last_cpuinfo_used == VP8GetCPUInfo) return;
VP8SSIMGetClipped = SSIMGetClipped_C;
VP8SSIMGet = SSIMGet_C;
VP8AccumulateSSE = AccumulateSSE;
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8SSIMDspInitSSE2();
}
#endif
}
ssim_last_cpuinfo_used = VP8GetCPUInfo;
}

154
src/dsp/ssim_sse2.c Normal file
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@ -0,0 +1,154 @@
// Copyright 2017 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// SSE2 version of distortion calculation
//
// Author: Skal (pascal.massimino@gmail.com)
#include "./dsp.h"
#if defined(WEBP_USE_SSE2)
#include <assert.h>
#include <emmintrin.h>
#include "./common_sse2.h"
// Helper function
static WEBP_INLINE void SubtractAndSquare(const __m128i a, const __m128i b,
__m128i* const sum) {
// take abs(a-b) in 8b
const __m128i a_b = _mm_subs_epu8(a, b);
const __m128i b_a = _mm_subs_epu8(b, a);
const __m128i abs_a_b = _mm_or_si128(a_b, b_a);
// zero-extend to 16b
const __m128i zero = _mm_setzero_si128();
const __m128i C0 = _mm_unpacklo_epi8(abs_a_b, zero);
const __m128i C1 = _mm_unpackhi_epi8(abs_a_b, zero);
// multiply with self
const __m128i sum1 = _mm_madd_epi16(C0, C0);
const __m128i sum2 = _mm_madd_epi16(C1, C1);
*sum = _mm_add_epi32(sum1, sum2);
}
//------------------------------------------------------------------------------
// SSIM / PSNR entry point
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;
SubtractAndSquare(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;
SubtractAndSquare(a1, b1, &sum2);
sum = _mm_add_epi32(sum, sum2);
}
SubtractAndSquare(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;
}
static uint32_t HorizontalAdd16b(const __m128i* const m) {
uint16_t tmp[8];
const __m128i a = _mm_srli_si128(*m, 8);
const __m128i b = _mm_add_epi16(*m, a);
_mm_storeu_si128((__m128i*)tmp, b);
return (uint32_t)tmp[3] + tmp[2] + tmp[1] + tmp[0];
}
static uint32_t HorizontalAdd32b(const __m128i* const m) {
const __m128i a = _mm_srli_si128(*m, 8);
const __m128i b = _mm_add_epi32(*m, a);
const __m128i c = _mm_add_epi32(b, _mm_srli_si128(b, 4));
return (uint32_t)_mm_cvtsi128_si32(c);
}
static const uint16_t kWeight[] = { 1, 2, 3, 4, 3, 2, 1, 0 };
#define ACCUMULATE_ROW(WEIGHT) do { \
/* compute row weight (Wx * Wy) */ \
const __m128i Wy = _mm_set1_epi16((WEIGHT)); \
const __m128i W = _mm_mullo_epi16(Wx, Wy); \
/* process 8 bytes at a time (7 bytes, actually) */ \
const __m128i a0 = _mm_loadl_epi64((const __m128i*)src1); \
const __m128i b0 = _mm_loadl_epi64((const __m128i*)src2); \
/* convert to 16b and multiply by weight */ \
const __m128i a1 = _mm_unpacklo_epi8(a0, zero); \
const __m128i b1 = _mm_unpacklo_epi8(b0, zero); \
const __m128i wa1 = _mm_mullo_epi16(a1, W); \
const __m128i wb1 = _mm_mullo_epi16(b1, W); \
/* accumulate */ \
xm = _mm_add_epi16(xm, wa1); \
ym = _mm_add_epi16(ym, wb1); \
xxm = _mm_add_epi32(xxm, _mm_madd_epi16(a1, wa1)); \
xym = _mm_add_epi32(xym, _mm_madd_epi16(a1, wb1)); \
yym = _mm_add_epi32(yym, _mm_madd_epi16(b1, wb1)); \
src1 += stride1; \
src2 += stride2; \
} while (0)
static double SSIMGet_SSE2(const uint8_t* src1, int stride1,
const uint8_t* src2, int stride2) {
VP8DistoStats stats;
const __m128i zero = _mm_setzero_si128();
__m128i xm = zero, ym = zero; // 16b accums
__m128i xxm = zero, yym = zero, xym = zero; // 32b accum
const __m128i Wx = _mm_loadu_si128((const __m128i*)kWeight);
assert(2 * VP8_SSIM_KERNEL + 1 == 7);
ACCUMULATE_ROW(1);
ACCUMULATE_ROW(2);
ACCUMULATE_ROW(3);
ACCUMULATE_ROW(4);
ACCUMULATE_ROW(3);
ACCUMULATE_ROW(2);
ACCUMULATE_ROW(1);
stats.xm = HorizontalAdd16b(&xm);
stats.ym = HorizontalAdd16b(&ym);
stats.xxm = HorizontalAdd32b(&xxm);
stats.xym = HorizontalAdd32b(&xym);
stats.yym = HorizontalAdd32b(&yym);
return VP8SSIMFromStats(&stats);
}
extern void VP8SSIMDspInitSSE2(void);
WEBP_TSAN_IGNORE_FUNCTION void VP8SSIMDspInitSSE2(void) {
VP8AccumulateSSE = AccumulateSSE_SSE2;
VP8SSIMGet = SSIMGet_SSE2;
}
#else // !WEBP_USE_SSE2
WEBP_DSP_INIT_STUB(VP8SSIMDspInitSSE2)
#endif // WEBP_USE_SSE2