mirror of
https://chromium.googlesource.com/libyuv/libyuv
synced 2026-10-28 18:07:12 +08:00
Refactor CalcFrameSsim to decompose overlapping 8x8 SSIM windows
(stepped by 4 pixels horizontally and vertically) into non-overlapping
4x4 pixel tiles across a 2-row rotating buffer (row0, row1), reducing
memory reads and pixel accumulation work by 4x:
- Ssim4x4Row_* computes 4 uint32_t stats {sum_a, sum_b, sum_sq_ab,
sum_axb} per 4x4 pixel tile across a 4-row strip (also sized to fit
future 10-bit/12-bit formats like I010 without uint32_t overflow).
- SsimWindowRow_C combines top and bottom 4x4 tile strips across
adjacent horizontal pairs and returns the exact double SSIM sum,
producing bit-identical results to Ssim8x8_C.
- CalcFrameSsim rotates row0 and row1 (with thread-local buffers and
continuity tracking under _OPENMP) and falls back to Ssim8x8_C only
if buffer allocation fails.
- Implement Ssim4x4Row across all SIMD architectures:
- x86/x64: Ssim4x4Row_SSE2, Ssim4x4Row_AVX2, and Ssim4x4Row_AVX512BW
(with k-masked tail handling for 4..60 pixels) in both
compare_gcc.cc and compare_win.cc.
- ARM: Ssim4x4Row_NEON (compare_neon.cc, compare_neon64.cc),
Ssim4x4Row_NEON_DotProd (compare_neon64.cc), Ssim4x4Row_SVE2
(row_sve.h, row_sve.cc), and Ssim4x4Row_SME (row_sme.cc).
- RISC-V: Ssim4x4Row_RVV (row_rvv.cc).
- LoongArch: Ssim4x4Row_LSX (row_lsx.cc) and Ssim4x4Row_LASX
(row_lasx.cc).
- WebAssembly: Ssim4x4Row_WASMSIMD (compare_wasm.cc).
- Enable BenchmarkSsim_Opt and add BenchmarkSsim_Unaligned and
TestSsimAnyWidth in unit_test/compare_test.cc.
BenchmarkSsim_Opt (1280x720, single core, us/frame):
uArch Before (C) After (us) Improvement
-------------------------------- ---------- ----------- -----------
Intel Lion Cove (AVX2) 356.33 119.09 2.99x
AMD Zen 6 (AVX512BW) 455.86 124.67 3.66x
AMD Zen 5 (AVX512BW) 518.91 128.29 4.04x
Intel Emerald Rapids (AVX512BW) 601.58 180.41 3.33x
Intel Cougar Cove (AVX2) 608.11 183.34 3.32x
Intel Granite Rapids (AVX512BW) 596.57 187.04 3.19x
Intel Golden Cove (AVX2) 534.58 187.93 2.84x
Intel Sapphire Rapids (AVX512BW) 634.36 189.92 3.34x
AMD Zen 4 (AVX512BW) 713.06 223.65 3.19x
Intel Skymont (SSE2) 445.99 250.52 1.78x
Intel Ice Lake (AVX512BW) 845.16 267.23 3.16x
AMD Zen 3 (AVX2) 741.02 267.38 2.77x
AMD Zen 2 (AVX2) 907.04 301.02 3.01x
Intel Skylake-X (AVX512BW) 1097.86 301.63 3.64x
Intel Darkmont (SSE2) 772.18 383.39 2.01x
Intel Gracemont (SSE2) 961.80 421.83 2.28x
Intel Haswell (AVX2) 1159.74 479.14 2.42x
Intel Ivy Bridge (SSE2) 1296.99 597.32 2.17x
Apple M6 Super (SME) 404.66 90.09 4.49x
Apple M6 Perf (DotProd) 444.72 104.59 4.25x
Qualcomm Oryon-L (DotProd) 490.76 108.79 4.51x
Qualcomm Oryon V3-L (SVE2) 663.13 150.75 4.40x
ARM Cortex-X4 (DotProd) 620.21 177.29 3.50x
ARM Neoverse-V2 (SVE2) 682.93 205.18 3.33x
ARM Cortex-X3 (DotProd) 737.38 226.24 3.26x
ARM C1-Ultra (DotProd) 596.71 229.10 2.60x
ARM Cortex-X2 (DotProd) 820.94 247.94 3.31x
Qualcomm Oryon-M (DotProd) 1146.09 257.89 4.44x
Qualcomm Oryon V3-M (SME) 1068.78 276.23 3.87x
ARM Cortex-A720 (DotProd) 993.59 292.62 3.40x
ARM Cortex-X1 (DotProd) 912.19 326.44 2.79x
ARM Cortex-A715 (DotProd) 1135.67 340.12 3.34x
ARM Cortex-A710 (DotProd) 1222.04 342.51 3.57x
ARM Neoverse-N1 (DotProd) 1406.72 376.46 3.74x
ARM Cortex-A725 (SVE2) 1104.13 376.86 2.93x
ARM C1-Pro (SVE2) 1073.69 413.97 2.59x
ARM Cortex-A76 (DotProd) 1491.02 423.58 3.52x
ARM Cortex-A78 (DotProd) 1503.73 485.00 3.10x
AmpereOne (DotProd) 1518.61 518.40 2.93x
Apple M6 Eff (DotProd) 4051.10 572.93 7.07x
ARM Cortex-A75 (NEON) 2055.04 812.09 2.53x
ARM Cortex-A520 (DotProd) 3307.98 963.86 3.43x
ARM Cortex-A73 (NEON) 3120.09 1180.17 2.64x
Qualcomm Kryo Perf (NEON) 4921.16 1459.77 3.37x
ARM Cortex-A510 (DotProd) 4645.10 1641.06 2.83x
ARM Cortex-A55 (DotProd) 4571.02 1672.09 2.73x
Qualcomm Kryo Eff (NEON) 6000.96 1796.17 3.34x
ARM Cortex-A55r0 (NEON) 10486.61 4358.61 2.41x
ARM Cortex-A53 (NEON) 10121.34 5700.99 1.78x
R=rrwinterton@gmail.com
Bug: None
Test: out/Release/libyuv_unittest --gtest_filter=*Ssim*
Change-Id: Ibb95ae74424ecdda073ab7ab10ab1cf610b121b6
Reviewed-on: https://chromium-review.googlesource.com/c/libyuv/libyuv/+/8593040
Reviewed-by: richard winterton <rrwinterton@gmail.com>
Commit-Queue: Frank Barchard <fbarchard@google.com>
177 lines
5.7 KiB
C++
177 lines
5.7 KiB
C++
/*
|
|
* Copyright 2012 The LibYuv Project Authors. All rights reserved.
|
|
*
|
|
* Use of this source code is governed by a BSD-style license
|
|
* that can be found in the LICENSE 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.
|
|
*/
|
|
|
|
#include "libyuv/compare_row.h"
|
|
|
|
#include <float.h>
|
|
|
|
#ifdef __cplusplus
|
|
namespace libyuv {
|
|
extern "C" {
|
|
#endif
|
|
|
|
// Hakmem method for hamming distance.
|
|
uint32_t HammingDistance_C(const uint8_t* src_a,
|
|
const uint8_t* src_b,
|
|
int count) {
|
|
uint32_t diff = 0u;
|
|
|
|
int i;
|
|
for (i = 0; i < count - 3; i += 4) {
|
|
uint32_t x = *((const uint32_t*)src_a) ^ *((const uint32_t*)src_b);
|
|
uint32_t u = x - ((x >> 1) & 0x55555555);
|
|
u = ((u >> 2) & 0x33333333) + (u & 0x33333333);
|
|
diff += ((((u + (u >> 4)) & 0x0f0f0f0f) * 0x01010101) >> 24);
|
|
src_a += 4;
|
|
src_b += 4;
|
|
}
|
|
|
|
for (; i < count; ++i) {
|
|
uint32_t x = *src_a ^ *src_b;
|
|
uint32_t u = x - ((x >> 1) & 0x55);
|
|
u = ((u >> 2) & 0x33) + (u & 0x33);
|
|
diff += (u + (u >> 4)) & 0x0f;
|
|
src_a += 1;
|
|
src_b += 1;
|
|
}
|
|
|
|
return diff;
|
|
}
|
|
|
|
uint32_t SumSquareError_C(const uint8_t* src_a,
|
|
const uint8_t* src_b,
|
|
int count) {
|
|
uint32_t sse = 0u;
|
|
int i;
|
|
for (i = 0; i < count; ++i) {
|
|
int diff = src_a[i] - src_b[i];
|
|
sse += (uint32_t)(diff * diff);
|
|
}
|
|
return sse;
|
|
}
|
|
|
|
// hash seed of 5381 recommended.
|
|
// Internal C version of HashDjb2 with int sized count for efficiency.
|
|
uint32_t HashDjb2_C(const uint8_t* src, int count, uint32_t seed) {
|
|
uint32_t hash = seed;
|
|
int i;
|
|
for (i = 0; i < count; ++i) {
|
|
hash += (hash << 5) + src[i];
|
|
}
|
|
return hash;
|
|
}
|
|
|
|
// Compute 4x4 tile statistics (sum_a, sum_b, sum_sq_a + sum_sq_b, sum_axb)
|
|
// across 4 rows for width pixels (width is a multiple of 4).
|
|
void Ssim4x4Row_C(const uint8_t* src_a,
|
|
int stride_a,
|
|
const uint8_t* src_b,
|
|
int stride_b,
|
|
uint32_t* dst,
|
|
int width) {
|
|
const ptrdiff_t sa = stride_a;
|
|
const ptrdiff_t sb = stride_b;
|
|
const uint8_t* a0 = src_a;
|
|
const uint8_t* a1 = a0 + sa;
|
|
const uint8_t* a2 = a1 + sa;
|
|
const uint8_t* a3 = a2 + sa;
|
|
const uint8_t* b0 = src_b;
|
|
const uint8_t* b1 = b0 + sb;
|
|
const uint8_t* b2 = b1 + sb;
|
|
const uint8_t* b3 = b2 + sb;
|
|
int x;
|
|
for (x = 0; x < width; x += 4) {
|
|
uint32_t sum_a = a0[0] + a0[1] + a0[2] + a0[3] + a1[0] + a1[1] + a1[2] +
|
|
a1[3] + a2[0] + a2[1] + a2[2] + a2[3] + a3[0] + a3[1] +
|
|
a3[2] + a3[3];
|
|
uint32_t sum_b = b0[0] + b0[1] + b0[2] + b0[3] + b1[0] + b1[1] + b1[2] +
|
|
b1[3] + b2[0] + b2[1] + b2[2] + b2[3] + b3[0] + b3[1] +
|
|
b3[2] + b3[3];
|
|
uint32_t sum_sq_ab =
|
|
a0[0] * a0[0] + a0[1] * a0[1] + a0[2] * a0[2] + a0[3] * a0[3] +
|
|
a1[0] * a1[0] + a1[1] * a1[1] + a1[2] * a1[2] + a1[3] * a1[3] +
|
|
a2[0] * a2[0] + a2[1] * a2[1] + a2[2] * a2[2] + a2[3] * a2[3] +
|
|
a3[0] * a3[0] + a3[1] * a3[1] + a3[2] * a3[2] + a3[3] * a3[3] +
|
|
b0[0] * b0[0] + b0[1] * b0[1] + b0[2] * b0[2] + b0[3] * b0[3] +
|
|
b1[0] * b1[0] + b1[1] * b1[1] + b1[2] * b1[2] + b1[3] * b1[3] +
|
|
b2[0] * b2[0] + b2[1] * b2[1] + b2[2] * b2[2] + b2[3] * b2[3] +
|
|
b3[0] * b3[0] + b3[1] * b3[1] + b3[2] * b3[2] + b3[3] * b3[3];
|
|
uint32_t sum_axb =
|
|
a0[0] * b0[0] + a0[1] * b0[1] + a0[2] * b0[2] + a0[3] * b0[3] +
|
|
a1[0] * b1[0] + a1[1] * b1[1] + a1[2] * b1[2] + a1[3] * b1[3] +
|
|
a2[0] * b2[0] + a2[1] * b2[1] + a2[2] * b2[2] + a2[3] * b2[3] +
|
|
a3[0] * b3[0] + a3[1] * b3[1] + a3[2] * b3[2] + a3[3] * b3[3];
|
|
dst[0] = sum_a;
|
|
dst[1] = sum_b;
|
|
dst[2] = sum_sq_ab;
|
|
dst[3] = sum_axb;
|
|
a0 += 4;
|
|
a1 += 4;
|
|
a2 += 4;
|
|
a3 += 4;
|
|
b0 += 4;
|
|
b1 += 4;
|
|
b2 += 4;
|
|
b3 += 4;
|
|
dst += 4;
|
|
}
|
|
}
|
|
|
|
// Combine two consecutive 4x4 tile rows (row0 and row1) into 8x8 windows
|
|
// stepped on a 4-pixel horizontal grid and return the sum of SSIM values.
|
|
double SsimWindowRow_C(const uint32_t* row0,
|
|
const uint32_t* row1,
|
|
int num_windows) {
|
|
const int64_t count = 64;
|
|
// scale the constants by number of pixels
|
|
const int64_t cc1 = 26634; // (64^2*(.01*255)^2)
|
|
const int64_t cc2 = 239708; // (64^2*(.03*255)^2)
|
|
const int64_t c1 = (cc1 * count * count) >> 12;
|
|
const int64_t c2 = (cc2 * count * count) >> 12;
|
|
|
|
double ssim_total = 0.0;
|
|
uint32_t prev_a = row0[0] + row1[0];
|
|
uint32_t prev_b = row0[1] + row1[1];
|
|
uint32_t prev_sq = row0[2] + row1[2];
|
|
uint32_t prev_axb = row0[3] + row1[3];
|
|
int w;
|
|
for (w = 0; w < num_windows; ++w) {
|
|
row0 += 4;
|
|
row1 += 4;
|
|
const uint32_t next_a = row0[0] + row1[0];
|
|
const uint32_t next_b = row0[1] + row1[1];
|
|
const uint32_t next_sq = row0[2] + row1[2];
|
|
const uint32_t next_axb = row0[3] + row1[3];
|
|
const int64_t sum_a = prev_a + next_a;
|
|
const int64_t sum_b = prev_b + next_b;
|
|
const int64_t sum_sq_ab = prev_sq + next_sq;
|
|
const int64_t sum_axb = prev_axb + next_axb;
|
|
prev_a = next_a;
|
|
prev_b = next_b;
|
|
prev_sq = next_sq;
|
|
prev_axb = next_axb;
|
|
|
|
const int64_t sum_a_x_sum_b = sum_a * sum_b;
|
|
const int64_t ssim_n = (2 * sum_a_x_sum_b + c1) *
|
|
(2 * count * sum_axb - 2 * sum_a_x_sum_b + c2);
|
|
const int64_t sum_a_sq = sum_a * sum_a;
|
|
const int64_t sum_b_sq = sum_b * sum_b;
|
|
const int64_t ssim_d = (sum_a_sq + sum_b_sq + c1) *
|
|
(count * sum_sq_ab - sum_a_sq - sum_b_sq + c2);
|
|
ssim_total += ssim_n * 1.0 / ssim_d;
|
|
}
|
|
return ssim_total;
|
|
}
|
|
|
|
#ifdef __cplusplus
|
|
} // extern "C"
|
|
} // namespace libyuv
|
|
#endif
|