mirror of
https://github.com/classilla/tenfourfox.git
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466 lines
13 KiB
C
466 lines
13 KiB
C
/*
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* Copyright (c) 2010 The WebM project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*
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* This code was originally written by: Nathan E. Egge, at the Daala
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* project.
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*/
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#include <math.h>
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#include <string.h>
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#include "./vpx_config.h"
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#include "./vp9_rtcd.h"
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#include "vp9/encoder/vp9_ssim.h"
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/* TODO(jbb): High bit depth version of this code needed */
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typedef struct fs_level fs_level;
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typedef struct fs_ctx fs_ctx;
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#define SSIM_C1 (255 * 255 * 0.01 * 0.01)
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#define SSIM_C2 (255 * 255 * 0.03 * 0.03)
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#define FS_MINI(_a, _b) ((_a) < (_b) ? (_a) : (_b))
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#define FS_MAXI(_a, _b) ((_a) > (_b) ? (_a) : (_b))
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struct fs_level {
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uint16_t *im1;
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uint16_t *im2;
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double *ssim;
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int w;
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int h;
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};
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struct fs_ctx {
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fs_level *level;
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int nlevels;
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unsigned *col_buf;
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};
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static void fs_ctx_init(fs_ctx *_ctx, int _w, int _h, int _nlevels) {
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unsigned char *data;
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size_t data_size;
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int lw;
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int lh;
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int l;
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lw = (_w + 1) >> 1;
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lh = (_h + 1) >> 1;
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data_size = _nlevels * sizeof(fs_level)
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+ 2 * (lw + 8) * 8 * sizeof(*_ctx->col_buf);
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for (l = 0; l < _nlevels; l++) {
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size_t im_size;
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size_t level_size;
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im_size = lw * (size_t) lh;
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level_size = 2 * im_size * sizeof(*_ctx->level[l].im1);
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level_size += sizeof(*_ctx->level[l].ssim) - 1;
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level_size /= sizeof(*_ctx->level[l].ssim);
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level_size += im_size;
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level_size *= sizeof(*_ctx->level[l].ssim);
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data_size += level_size;
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lw = (lw + 1) >> 1;
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lh = (lh + 1) >> 1;
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}
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data = (unsigned char *) malloc(data_size);
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_ctx->level = (fs_level *) data;
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_ctx->nlevels = _nlevels;
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data += _nlevels * sizeof(*_ctx->level);
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lw = (_w + 1) >> 1;
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lh = (_h + 1) >> 1;
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for (l = 0; l < _nlevels; l++) {
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size_t im_size;
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size_t level_size;
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_ctx->level[l].w = lw;
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_ctx->level[l].h = lh;
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im_size = lw * (size_t) lh;
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level_size = 2 * im_size * sizeof(*_ctx->level[l].im1);
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level_size += sizeof(*_ctx->level[l].ssim) - 1;
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level_size /= sizeof(*_ctx->level[l].ssim);
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level_size *= sizeof(*_ctx->level[l].ssim);
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_ctx->level[l].im1 = (uint16_t *) data;
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_ctx->level[l].im2 = _ctx->level[l].im1 + im_size;
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data += level_size;
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_ctx->level[l].ssim = (double *) data;
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data += im_size * sizeof(*_ctx->level[l].ssim);
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lw = (lw + 1) >> 1;
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lh = (lh + 1) >> 1;
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}
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_ctx->col_buf = (unsigned *) data;
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}
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static void fs_ctx_clear(fs_ctx *_ctx) {
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free(_ctx->level);
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}
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static void fs_downsample_level(fs_ctx *_ctx, int _l) {
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const uint16_t *src1;
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const uint16_t *src2;
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uint16_t *dst1;
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uint16_t *dst2;
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int w2;
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int h2;
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int w;
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int h;
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int i;
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int j;
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w = _ctx->level[_l].w;
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h = _ctx->level[_l].h;
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dst1 = _ctx->level[_l].im1;
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dst2 = _ctx->level[_l].im2;
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w2 = _ctx->level[_l - 1].w;
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h2 = _ctx->level[_l - 1].h;
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src1 = _ctx->level[_l - 1].im1;
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src2 = _ctx->level[_l - 1].im2;
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for (j = 0; j < h; j++) {
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int j0offs;
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int j1offs;
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j0offs = 2 * j * w2;
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j1offs = FS_MINI(2 * j + 1, h2) * w2;
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for (i = 0; i < w; i++) {
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int i0;
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int i1;
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i0 = 2 * i;
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i1 = FS_MINI(i0 + 1, w2);
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dst1[j * w + i] = src1[j0offs + i0] + src1[j0offs + i1]
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+ src1[j1offs + i0] + src1[j1offs + i1];
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dst2[j * w + i] = src2[j0offs + i0] + src2[j0offs + i1]
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+ src2[j1offs + i0] + src2[j1offs + i1];
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}
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}
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}
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static void fs_downsample_level0(fs_ctx *_ctx, const unsigned char *_src1,
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int _s1ystride, const unsigned char *_src2,
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int _s2ystride, int _w, int _h) {
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uint16_t *dst1;
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uint16_t *dst2;
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int w;
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int h;
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int i;
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int j;
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w = _ctx->level[0].w;
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h = _ctx->level[0].h;
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dst1 = _ctx->level[0].im1;
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dst2 = _ctx->level[0].im2;
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for (j = 0; j < h; j++) {
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int j0;
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int j1;
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j0 = 2 * j;
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j1 = FS_MINI(j0 + 1, _h);
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for (i = 0; i < w; i++) {
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int i0;
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int i1;
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i0 = 2 * i;
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i1 = FS_MINI(i0 + 1, _w);
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dst1[j * w + i] = _src1[j0 * _s1ystride + i0]
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+ _src1[j0 * _s1ystride + i1] + _src1[j1 * _s1ystride + i0]
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+ _src1[j1 * _s1ystride + i1];
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dst2[j * w + i] = _src2[j0 * _s2ystride + i0]
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+ _src2[j0 * _s2ystride + i1] + _src2[j1 * _s2ystride + i0]
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+ _src2[j1 * _s2ystride + i1];
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}
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}
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}
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static void fs_apply_luminance(fs_ctx *_ctx, int _l) {
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unsigned *col_sums_x;
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unsigned *col_sums_y;
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uint16_t *im1;
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uint16_t *im2;
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double *ssim;
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double c1;
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int w;
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int h;
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int j0offs;
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int j1offs;
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int i;
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int j;
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w = _ctx->level[_l].w;
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h = _ctx->level[_l].h;
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col_sums_x = _ctx->col_buf;
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col_sums_y = col_sums_x + w;
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im1 = _ctx->level[_l].im1;
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im2 = _ctx->level[_l].im2;
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for (i = 0; i < w; i++)
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col_sums_x[i] = 5 * im1[i];
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for (i = 0; i < w; i++)
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col_sums_y[i] = 5 * im2[i];
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for (j = 1; j < 4; j++) {
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j1offs = FS_MINI(j, h - 1) * w;
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for (i = 0; i < w; i++)
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col_sums_x[i] += im1[j1offs + i];
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for (i = 0; i < w; i++)
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col_sums_y[i] += im2[j1offs + i];
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}
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ssim = _ctx->level[_l].ssim;
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c1 = (double) (SSIM_C1 * 4096 * (1 << 4 * _l));
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for (j = 0; j < h; j++) {
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unsigned mux;
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unsigned muy;
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int i0;
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int i1;
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mux = 5 * col_sums_x[0];
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muy = 5 * col_sums_y[0];
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for (i = 1; i < 4; i++) {
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i1 = FS_MINI(i, w - 1);
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mux += col_sums_x[i1];
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muy += col_sums_y[i1];
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}
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for (i = 0; i < w; i++) {
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ssim[j * w + i] *= (2 * mux * (double) muy + c1)
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/ (mux * (double) mux + muy * (double) muy + c1);
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if (i + 1 < w) {
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i0 = FS_MAXI(0, i - 4);
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i1 = FS_MINI(i + 4, w - 1);
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mux += col_sums_x[i1] - col_sums_x[i0];
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muy += col_sums_x[i1] - col_sums_x[i0];
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}
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}
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if (j + 1 < h) {
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j0offs = FS_MAXI(0, j - 4) * w;
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for (i = 0; i < w; i++)
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col_sums_x[i] -= im1[j0offs + i];
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for (i = 0; i < w; i++)
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col_sums_y[i] -= im2[j0offs + i];
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j1offs = FS_MINI(j + 4, h - 1) * w;
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for (i = 0; i < w; i++)
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col_sums_x[i] += im1[j1offs + i];
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for (i = 0; i < w; i++)
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col_sums_y[i] += im2[j1offs + i];
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}
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}
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}
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#define FS_COL_SET(_col, _joffs, _ioffs) \
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do { \
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unsigned gx; \
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unsigned gy; \
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gx = gx_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \
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gy = gy_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \
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col_sums_gx2[(_col)] = gx * (double)gx; \
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col_sums_gy2[(_col)] = gy * (double)gy; \
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col_sums_gxgy[(_col)] = gx * (double)gy; \
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} \
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while (0)
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#define FS_COL_ADD(_col, _joffs, _ioffs) \
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do { \
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unsigned gx; \
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unsigned gy; \
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gx = gx_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \
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gy = gy_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \
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col_sums_gx2[(_col)] += gx * (double)gx; \
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col_sums_gy2[(_col)] += gy * (double)gy; \
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col_sums_gxgy[(_col)] += gx * (double)gy; \
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} \
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while (0)
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#define FS_COL_SUB(_col, _joffs, _ioffs) \
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do { \
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unsigned gx; \
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unsigned gy; \
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gx = gx_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \
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gy = gy_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \
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col_sums_gx2[(_col)] -= gx * (double)gx; \
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col_sums_gy2[(_col)] -= gy * (double)gy; \
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col_sums_gxgy[(_col)] -= gx * (double)gy; \
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} \
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while (0)
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#define FS_COL_COPY(_col1, _col2) \
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do { \
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col_sums_gx2[(_col1)] = col_sums_gx2[(_col2)]; \
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col_sums_gy2[(_col1)] = col_sums_gy2[(_col2)]; \
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col_sums_gxgy[(_col1)] = col_sums_gxgy[(_col2)]; \
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} \
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while (0)
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#define FS_COL_HALVE(_col1, _col2) \
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do { \
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col_sums_gx2[(_col1)] = col_sums_gx2[(_col2)] * 0.5; \
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col_sums_gy2[(_col1)] = col_sums_gy2[(_col2)] * 0.5; \
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col_sums_gxgy[(_col1)] = col_sums_gxgy[(_col2)] * 0.5; \
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} \
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while (0)
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#define FS_COL_DOUBLE(_col1, _col2) \
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do { \
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col_sums_gx2[(_col1)] = col_sums_gx2[(_col2)] * 2; \
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col_sums_gy2[(_col1)] = col_sums_gy2[(_col2)] * 2; \
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col_sums_gxgy[(_col1)] = col_sums_gxgy[(_col2)] * 2; \
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} \
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while (0)
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static void fs_calc_structure(fs_ctx *_ctx, int _l) {
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uint16_t *im1;
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uint16_t *im2;
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unsigned *gx_buf;
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unsigned *gy_buf;
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double *ssim;
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double col_sums_gx2[8];
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double col_sums_gy2[8];
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double col_sums_gxgy[8];
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double c2;
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int stride;
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int w;
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int h;
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int i;
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int j;
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w = _ctx->level[_l].w;
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h = _ctx->level[_l].h;
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im1 = _ctx->level[_l].im1;
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im2 = _ctx->level[_l].im2;
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ssim = _ctx->level[_l].ssim;
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gx_buf = _ctx->col_buf;
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stride = w + 8;
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gy_buf = gx_buf + 8 * stride;
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memset(gx_buf, 0, 2 * 8 * stride * sizeof(*gx_buf));
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c2 = SSIM_C2 * (1 << 4 * _l) * 16 * 104;
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for (j = 0; j < h + 4; j++) {
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if (j < h - 1) {
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for (i = 0; i < w - 1; i++) {
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unsigned g1;
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unsigned g2;
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unsigned gx;
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unsigned gy;
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g1 = abs(im1[(j + 1) * w + i + 1] - im1[j * w + i]);
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g2 = abs(im1[(j + 1) * w + i] - im1[j * w + i + 1]);
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gx = 4 * FS_MAXI(g1, g2) + FS_MINI(g1, g2);
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g1 = abs(im2[(j + 1) * w + i + 1] - im2[j * w + i]);
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g2 = abs(im2[(j + 1) * w + i] - im2[j * w + i + 1]);
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gy = 4 * FS_MAXI(g1, g2) + FS_MINI(g1, g2);
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gx_buf[(j & 7) * stride + i + 4] = gx;
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gy_buf[(j & 7) * stride + i + 4] = gy;
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}
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} else {
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memset(gx_buf + (j & 7) * stride, 0, stride * sizeof(*gx_buf));
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memset(gy_buf + (j & 7) * stride, 0, stride * sizeof(*gy_buf));
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}
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if (j >= 4) {
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int k;
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col_sums_gx2[3] = col_sums_gx2[2] = col_sums_gx2[1] = col_sums_gx2[0] = 0;
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col_sums_gy2[3] = col_sums_gy2[2] = col_sums_gy2[1] = col_sums_gy2[0] = 0;
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col_sums_gxgy[3] = col_sums_gxgy[2] = col_sums_gxgy[1] =
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col_sums_gxgy[0] = 0;
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for (i = 4; i < 8; i++) {
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FS_COL_SET(i, -1, 0);
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FS_COL_ADD(i, 0, 0);
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for (k = 1; k < 8 - i; k++) {
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FS_COL_DOUBLE(i, i);
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FS_COL_ADD(i, -k - 1, 0);
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FS_COL_ADD(i, k, 0);
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}
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}
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for (i = 0; i < w; i++) {
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double mugx2;
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double mugy2;
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double mugxgy;
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mugx2 = col_sums_gx2[0];
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for (k = 1; k < 8; k++)
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mugx2 += col_sums_gx2[k];
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mugy2 = col_sums_gy2[0];
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for (k = 1; k < 8; k++)
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mugy2 += col_sums_gy2[k];
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mugxgy = col_sums_gxgy[0];
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for (k = 1; k < 8; k++)
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mugxgy += col_sums_gxgy[k];
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ssim[(j - 4) * w + i] = (2 * mugxgy + c2) / (mugx2 + mugy2 + c2);
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if (i + 1 < w) {
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FS_COL_SET(0, -1, 1);
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FS_COL_ADD(0, 0, 1);
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FS_COL_SUB(2, -3, 2);
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FS_COL_SUB(2, 2, 2);
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FS_COL_HALVE(1, 2);
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FS_COL_SUB(3, -4, 3);
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FS_COL_SUB(3, 3, 3);
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FS_COL_HALVE(2, 3);
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FS_COL_COPY(3, 4);
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FS_COL_DOUBLE(4, 5);
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FS_COL_ADD(4, -4, 5);
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FS_COL_ADD(4, 3, 5);
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FS_COL_DOUBLE(5, 6);
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FS_COL_ADD(5, -3, 6);
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FS_COL_ADD(5, 2, 6);
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FS_COL_DOUBLE(6, 7);
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FS_COL_ADD(6, -2, 7);
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FS_COL_ADD(6, 1, 7);
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FS_COL_SET(7, -1, 8);
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FS_COL_ADD(7, 0, 8);
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}
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}
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}
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}
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}
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#define FS_NLEVELS (4)
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/*These weights were derived from the default weights found in Wang's original
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Matlab implementation: {0.0448, 0.2856, 0.2363, 0.1333}.
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We drop the finest scale and renormalize the rest to sum to 1.*/
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static const double FS_WEIGHTS[FS_NLEVELS] = {0.2989654541015625,
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0.3141326904296875, 0.2473602294921875, 0.1395416259765625};
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static double fs_average(fs_ctx *_ctx, int _l) {
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double *ssim;
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double ret;
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int w;
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int h;
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int i;
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int j;
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w = _ctx->level[_l].w;
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h = _ctx->level[_l].h;
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ssim = _ctx->level[_l].ssim;
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ret = 0;
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for (j = 0; j < h; j++)
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for (i = 0; i < w; i++)
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ret += ssim[j * w + i];
|
|
return pow(ret / (w * h), FS_WEIGHTS[_l]);
|
|
}
|
|
|
|
static double calc_ssim(const unsigned char *_src, int _systride,
|
|
const unsigned char *_dst, int _dystride, int _w, int _h) {
|
|
fs_ctx ctx;
|
|
double ret;
|
|
int l;
|
|
ret = 1;
|
|
fs_ctx_init(&ctx, _w, _h, FS_NLEVELS);
|
|
fs_downsample_level0(&ctx, _src, _systride, _dst, _dystride, _w, _h);
|
|
for (l = 0; l < FS_NLEVELS - 1; l++) {
|
|
fs_calc_structure(&ctx, l);
|
|
ret *= fs_average(&ctx, l);
|
|
fs_downsample_level(&ctx, l + 1);
|
|
}
|
|
fs_calc_structure(&ctx, l);
|
|
fs_apply_luminance(&ctx, l);
|
|
ret *= fs_average(&ctx, l);
|
|
fs_ctx_clear(&ctx);
|
|
return ret;
|
|
}
|
|
|
|
static double convert_ssim_db(double _ssim, double _weight) {
|
|
return 10 * (log10(_weight) - log10(_weight - _ssim));
|
|
}
|
|
|
|
double vp9_calc_fastssim(YV12_BUFFER_CONFIG *source, YV12_BUFFER_CONFIG *dest,
|
|
double *ssim_y, double *ssim_u, double *ssim_v) {
|
|
double ssimv;
|
|
vp9_clear_system_state();
|
|
|
|
*ssim_y = calc_ssim(source->y_buffer, source->y_stride, dest->y_buffer,
|
|
dest->y_stride, source->y_crop_width,
|
|
source->y_crop_height);
|
|
|
|
*ssim_u = calc_ssim(source->u_buffer, source->uv_stride, dest->u_buffer,
|
|
dest->uv_stride, source->uv_crop_width,
|
|
source->uv_crop_height);
|
|
|
|
*ssim_v = calc_ssim(source->v_buffer, source->uv_stride, dest->v_buffer,
|
|
dest->uv_stride, source->uv_crop_width,
|
|
source->uv_crop_height);
|
|
ssimv = (*ssim_y) * .8 + .1 * ((*ssim_u) + (*ssim_v));
|
|
|
|
return convert_ssim_db(ssimv, 1.0);
|
|
}
|