| /* | |
| * Copyright (c) 2010 The WebM 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. | |
| * | |
| * This code was originally written by: Nathan E. Egge, at the Daala | |
| * project. | |
| */ | |
| #include <math.h> | |
| #include <stdlib.h> | |
| #include <string.h> | |
| #include "./vpx_config.h" | |
| #include "./vpx_dsp_rtcd.h" | |
| #include "vpx_dsp/ssim.h" | |
| #include "vpx_ports/system_state.h" | |
| /* TODO(jbb): High bit depth version of this code needed */ | |
| typedef struct fs_level fs_level; | |
| typedef struct fs_ctx fs_ctx; | |
| #define SSIM_C1 (255 * 255 * 0.01 * 0.01) | |
| #define SSIM_C2 (255 * 255 * 0.03 * 0.03) | |
| #define FS_MINI(_a, _b) ((_a) < (_b) ? (_a) : (_b)) | |
| #define FS_MAXI(_a, _b) ((_a) > (_b) ? (_a) : (_b)) | |
| struct fs_level { | |
| uint16_t *im1; | |
| uint16_t *im2; | |
| double *ssim; | |
| int w; | |
| int h; | |
| }; | |
| struct fs_ctx { | |
| fs_level *level; | |
| int nlevels; | |
| unsigned *col_buf; | |
| }; | |
| static void fs_ctx_init(fs_ctx *_ctx, int _w, int _h, int _nlevels) { | |
| unsigned char *data; | |
| size_t data_size; | |
| int lw; | |
| int lh; | |
| int l; | |
| lw = (_w + 1) >> 1; | |
| lh = (_h + 1) >> 1; | |
| data_size = _nlevels * sizeof(fs_level) | |
| + 2 * (lw + 8) * 8 * sizeof(*_ctx->col_buf); | |
| for (l = 0; l < _nlevels; l++) { | |
| size_t im_size; | |
| size_t level_size; | |
| im_size = lw * (size_t) lh; | |
| level_size = 2 * im_size * sizeof(*_ctx->level[l].im1); | |
| level_size += sizeof(*_ctx->level[l].ssim) - 1; | |
| level_size /= sizeof(*_ctx->level[l].ssim); | |
| level_size += im_size; | |
| level_size *= sizeof(*_ctx->level[l].ssim); | |
| data_size += level_size; | |
| lw = (lw + 1) >> 1; | |
| lh = (lh + 1) >> 1; | |
| } | |
| data = (unsigned char *) malloc(data_size); | |
| _ctx->level = (fs_level *) data; | |
| _ctx->nlevels = _nlevels; | |
| data += _nlevels * sizeof(*_ctx->level); | |
| lw = (_w + 1) >> 1; | |
| lh = (_h + 1) >> 1; | |
| for (l = 0; l < _nlevels; l++) { | |
| size_t im_size; | |
| size_t level_size; | |
| _ctx->level[l].w = lw; | |
| _ctx->level[l].h = lh; | |
| im_size = lw * (size_t) lh; | |
| level_size = 2 * im_size * sizeof(*_ctx->level[l].im1); | |
| level_size += sizeof(*_ctx->level[l].ssim) - 1; | |
| level_size /= sizeof(*_ctx->level[l].ssim); | |
| level_size *= sizeof(*_ctx->level[l].ssim); | |
| _ctx->level[l].im1 = (uint16_t *) data; | |
| _ctx->level[l].im2 = _ctx->level[l].im1 + im_size; | |
| data += level_size; | |
| _ctx->level[l].ssim = (double *) data; | |
| data += im_size * sizeof(*_ctx->level[l].ssim); | |
| lw = (lw + 1) >> 1; | |
| lh = (lh + 1) >> 1; | |
| } | |
| _ctx->col_buf = (unsigned *) data; | |
| } | |
| static void fs_ctx_clear(fs_ctx *_ctx) { | |
| free(_ctx->level); | |
| } | |
| static void fs_downsample_level(fs_ctx *_ctx, int _l) { | |
| const uint16_t *src1; | |
| const uint16_t *src2; | |
| uint16_t *dst1; | |
| uint16_t *dst2; | |
| int w2; | |
| int h2; | |
| int w; | |
| int h; | |
| int i; | |
| int j; | |
| w = _ctx->level[_l].w; | |
| h = _ctx->level[_l].h; | |
| dst1 = _ctx->level[_l].im1; | |
| dst2 = _ctx->level[_l].im2; | |
| w2 = _ctx->level[_l - 1].w; | |
| h2 = _ctx->level[_l - 1].h; | |
| src1 = _ctx->level[_l - 1].im1; | |
| src2 = _ctx->level[_l - 1].im2; | |
| for (j = 0; j < h; j++) { | |
| int j0offs; | |
| int j1offs; | |
| j0offs = 2 * j * w2; | |
| j1offs = FS_MINI(2 * j + 1, h2) * w2; | |
| for (i = 0; i < w; i++) { | |
| int i0; | |
| int i1; | |
| i0 = 2 * i; | |
| i1 = FS_MINI(i0 + 1, w2); | |
| dst1[j * w + i] = src1[j0offs + i0] + src1[j0offs + i1] | |
| + src1[j1offs + i0] + src1[j1offs + i1]; | |
| dst2[j * w + i] = src2[j0offs + i0] + src2[j0offs + i1] | |
| + src2[j1offs + i0] + src2[j1offs + i1]; | |
| } | |
| } | |
| } | |
| static void fs_downsample_level0(fs_ctx *_ctx, const unsigned char *_src1, | |
| int _s1ystride, const unsigned char *_src2, | |
| int _s2ystride, int _w, int _h) { | |
| uint16_t *dst1; | |
| uint16_t *dst2; | |
| int w; | |
| int h; | |
| int i; | |
| int j; | |
| w = _ctx->level[0].w; | |
| h = _ctx->level[0].h; | |
| dst1 = _ctx->level[0].im1; | |
| dst2 = _ctx->level[0].im2; | |
| for (j = 0; j < h; j++) { | |
| int j0; | |
| int j1; | |
| j0 = 2 * j; | |
| j1 = FS_MINI(j0 + 1, _h); | |
| for (i = 0; i < w; i++) { | |
| int i0; | |
| int i1; | |
| i0 = 2 * i; | |
| i1 = FS_MINI(i0 + 1, _w); | |
| dst1[j * w + i] = _src1[j0 * _s1ystride + i0] | |
| + _src1[j0 * _s1ystride + i1] + _src1[j1 * _s1ystride + i0] | |
| + _src1[j1 * _s1ystride + i1]; | |
| dst2[j * w + i] = _src2[j0 * _s2ystride + i0] | |
| + _src2[j0 * _s2ystride + i1] + _src2[j1 * _s2ystride + i0] | |
| + _src2[j1 * _s2ystride + i1]; | |
| } | |
| } | |
| } | |
| static void fs_apply_luminance(fs_ctx *_ctx, int _l) { | |
| unsigned *col_sums_x; | |
| unsigned *col_sums_y; | |
| uint16_t *im1; | |
| uint16_t *im2; | |
| double *ssim; | |
| double c1; | |
| int w; | |
| int h; | |
| int j0offs; | |
| int j1offs; | |
| int i; | |
| int j; | |
| w = _ctx->level[_l].w; | |
| h = _ctx->level[_l].h; | |
| col_sums_x = _ctx->col_buf; | |
| col_sums_y = col_sums_x + w; | |
| im1 = _ctx->level[_l].im1; | |
| im2 = _ctx->level[_l].im2; | |
| for (i = 0; i < w; i++) | |
| col_sums_x[i] = 5 * im1[i]; | |
| for (i = 0; i < w; i++) | |
| col_sums_y[i] = 5 * im2[i]; | |
| for (j = 1; j < 4; j++) { | |
| j1offs = FS_MINI(j, h - 1) * w; | |
| for (i = 0; i < w; i++) | |
| col_sums_x[i] += im1[j1offs + i]; | |
| for (i = 0; i < w; i++) | |
| col_sums_y[i] += im2[j1offs + i]; | |
| } | |
| ssim = _ctx->level[_l].ssim; | |
| c1 = (double) (SSIM_C1 * 4096 * (1 << 4 * _l)); | |
| for (j = 0; j < h; j++) { | |
| unsigned mux; | |
| unsigned muy; | |
| int i0; | |
| int i1; | |
| mux = 5 * col_sums_x[0]; | |
| muy = 5 * col_sums_y[0]; | |
| for (i = 1; i < 4; i++) { | |
| i1 = FS_MINI(i, w - 1); | |
| mux += col_sums_x[i1]; | |
| muy += col_sums_y[i1]; | |
| } | |
| for (i = 0; i < w; i++) { | |
| ssim[j * w + i] *= (2 * mux * (double) muy + c1) | |
| / (mux * (double) mux + muy * (double) muy + c1); | |
| if (i + 1 < w) { | |
| i0 = FS_MAXI(0, i - 4); | |
| i1 = FS_MINI(i + 4, w - 1); | |
| mux += col_sums_x[i1] - col_sums_x[i0]; | |
| muy += col_sums_x[i1] - col_sums_x[i0]; | |
| } | |
| } | |
| if (j + 1 < h) { | |
| j0offs = FS_MAXI(0, j - 4) * w; | |
| for (i = 0; i < w; i++) | |
| col_sums_x[i] -= im1[j0offs + i]; | |
| for (i = 0; i < w; i++) | |
| col_sums_y[i] -= im2[j0offs + i]; | |
| j1offs = FS_MINI(j + 4, h - 1) * w; | |
| for (i = 0; i < w; i++) | |
| col_sums_x[i] += im1[j1offs + i]; | |
| for (i = 0; i < w; i++) | |
| col_sums_y[i] += im2[j1offs + i]; | |
| } | |
| } | |
| } | |
| #define FS_COL_SET(_col, _joffs, _ioffs) \ | |
| do { \ | |
| unsigned gx; \ | |
| unsigned gy; \ | |
| gx = gx_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \ | |
| gy = gy_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \ | |
| col_sums_gx2[(_col)] = gx * (double)gx; \ | |
| col_sums_gy2[(_col)] = gy * (double)gy; \ | |
| col_sums_gxgy[(_col)] = gx * (double)gy; \ | |
| } \ | |
| while (0) | |
| #define FS_COL_ADD(_col, _joffs, _ioffs) \ | |
| do { \ | |
| unsigned gx; \ | |
| unsigned gy; \ | |
| gx = gx_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \ | |
| gy = gy_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \ | |
| col_sums_gx2[(_col)] += gx * (double)gx; \ | |
| col_sums_gy2[(_col)] += gy * (double)gy; \ | |
| col_sums_gxgy[(_col)] += gx * (double)gy; \ | |
| } \ | |
| while (0) | |
| #define FS_COL_SUB(_col, _joffs, _ioffs) \ | |
| do { \ | |
| unsigned gx; \ | |
| unsigned gy; \ | |
| gx = gx_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \ | |
| gy = gy_buf[((j + (_joffs)) & 7) * stride + i + (_ioffs)]; \ | |
| col_sums_gx2[(_col)] -= gx * (double)gx; \ | |
| col_sums_gy2[(_col)] -= gy * (double)gy; \ | |
| col_sums_gxgy[(_col)] -= gx * (double)gy; \ | |
| } \ | |
| while (0) | |
| #define FS_COL_COPY(_col1, _col2) \ | |
| do { \ | |
| col_sums_gx2[(_col1)] = col_sums_gx2[(_col2)]; \ | |
| col_sums_gy2[(_col1)] = col_sums_gy2[(_col2)]; \ | |
| col_sums_gxgy[(_col1)] = col_sums_gxgy[(_col2)]; \ | |
| } \ | |
| while (0) | |
| #define FS_COL_HALVE(_col1, _col2) \ | |
| do { \ | |
| col_sums_gx2[(_col1)] = col_sums_gx2[(_col2)] * 0.5; \ | |
| col_sums_gy2[(_col1)] = col_sums_gy2[(_col2)] * 0.5; \ | |
| col_sums_gxgy[(_col1)] = col_sums_gxgy[(_col2)] * 0.5; \ | |
| } \ | |
| while (0) | |
| #define FS_COL_DOUBLE(_col1, _col2) \ | |
| do { \ | |
| col_sums_gx2[(_col1)] = col_sums_gx2[(_col2)] * 2; \ | |
| col_sums_gy2[(_col1)] = col_sums_gy2[(_col2)] * 2; \ | |
| col_sums_gxgy[(_col1)] = col_sums_gxgy[(_col2)] * 2; \ | |
| } \ | |
| while (0) | |
| static void fs_calc_structure(fs_ctx *_ctx, int _l) { | |
| uint16_t *im1; | |
| uint16_t *im2; | |
| unsigned *gx_buf; | |
| unsigned *gy_buf; | |
| double *ssim; | |
| double col_sums_gx2[8]; | |
| double col_sums_gy2[8]; | |
| double col_sums_gxgy[8]; | |
| double c2; | |
| int stride; | |
| int w; | |
| int h; | |
| int i; | |
| int j; | |
| w = _ctx->level[_l].w; | |
| h = _ctx->level[_l].h; | |
| im1 = _ctx->level[_l].im1; | |
| im2 = _ctx->level[_l].im2; | |
| ssim = _ctx->level[_l].ssim; | |
| gx_buf = _ctx->col_buf; | |
| stride = w + 8; | |
| gy_buf = gx_buf + 8 * stride; | |
| memset(gx_buf, 0, 2 * 8 * stride * sizeof(*gx_buf)); | |
| c2 = SSIM_C2 * (1 << 4 * _l) * 16 * 104; | |
| for (j = 0; j < h + 4; j++) { | |
| if (j < h - 1) { | |
| for (i = 0; i < w - 1; i++) { | |
| unsigned g1; | |
| unsigned g2; | |
| unsigned gx; | |
| unsigned gy; | |
| g1 = abs(im1[(j + 1) * w + i + 1] - im1[j * w + i]); | |
| g2 = abs(im1[(j + 1) * w + i] - im1[j * w + i + 1]); | |
| gx = 4 * FS_MAXI(g1, g2) + FS_MINI(g1, g2); | |
| g1 = abs(im2[(j + 1) * w + i + 1] - im2[j * w + i]); | |
| g2 = abs(im2[(j + 1) * w + i] - im2[j * w + i + 1]); | |
| gy = 4 * FS_MAXI(g1, g2) + FS_MINI(g1, g2); | |
| gx_buf[(j & 7) * stride + i + 4] = gx; | |
| gy_buf[(j & 7) * stride + i + 4] = gy; | |
| } | |
| } else { | |
| memset(gx_buf + (j & 7) * stride, 0, stride * sizeof(*gx_buf)); | |
| memset(gy_buf + (j & 7) * stride, 0, stride * sizeof(*gy_buf)); | |
| } | |
| if (j >= 4) { | |
| int k; | |
| col_sums_gx2[3] = col_sums_gx2[2] = col_sums_gx2[1] = col_sums_gx2[0] = 0; | |
| col_sums_gy2[3] = col_sums_gy2[2] = col_sums_gy2[1] = col_sums_gy2[0] = 0; | |
| col_sums_gxgy[3] = col_sums_gxgy[2] = col_sums_gxgy[1] = | |
| col_sums_gxgy[0] = 0; | |
| for (i = 4; i < 8; i++) { | |
| FS_COL_SET(i, -1, 0); | |
| FS_COL_ADD(i, 0, 0); | |
| for (k = 1; k < 8 - i; k++) { | |
| FS_COL_DOUBLE(i, i); | |
| FS_COL_ADD(i, -k - 1, 0); | |
| FS_COL_ADD(i, k, 0); | |
| } | |
| } | |
| for (i = 0; i < w; i++) { | |
| double mugx2; | |
| double mugy2; | |
| double mugxgy; | |
| mugx2 = col_sums_gx2[0]; | |
| for (k = 1; k < 8; k++) | |
| mugx2 += col_sums_gx2[k]; | |
| mugy2 = col_sums_gy2[0]; | |
| for (k = 1; k < 8; k++) | |
| mugy2 += col_sums_gy2[k]; | |
| mugxgy = col_sums_gxgy[0]; | |
| for (k = 1; k < 8; k++) | |
| mugxgy += col_sums_gxgy[k]; | |
| ssim[(j - 4) * w + i] = (2 * mugxgy + c2) / (mugx2 + mugy2 + c2); | |
| if (i + 1 < w) { | |
| FS_COL_SET(0, -1, 1); | |
| FS_COL_ADD(0, 0, 1); | |
| FS_COL_SUB(2, -3, 2); | |
| FS_COL_SUB(2, 2, 2); | |
| FS_COL_HALVE(1, 2); | |
| FS_COL_SUB(3, -4, 3); | |
| FS_COL_SUB(3, 3, 3); | |
| FS_COL_HALVE(2, 3); | |
| FS_COL_COPY(3, 4); | |
| FS_COL_DOUBLE(4, 5); | |
| FS_COL_ADD(4, -4, 5); | |
| FS_COL_ADD(4, 3, 5); | |
| FS_COL_DOUBLE(5, 6); | |
| FS_COL_ADD(5, -3, 6); | |
| FS_COL_ADD(5, 2, 6); | |
| FS_COL_DOUBLE(6, 7); | |
| FS_COL_ADD(6, -2, 7); | |
| FS_COL_ADD(6, 1, 7); | |
| FS_COL_SET(7, -1, 8); | |
| FS_COL_ADD(7, 0, 8); | |
| } | |
| } | |
| } | |
| } | |
| } | |
| #define FS_NLEVELS (4) | |
| /*These weights were derived from the default weights found in Wang's original | |
| Matlab implementation: {0.0448, 0.2856, 0.2363, 0.1333}. | |
| We drop the finest scale and renormalize the rest to sum to 1.*/ | |
| static const double FS_WEIGHTS[FS_NLEVELS] = {0.2989654541015625, | |
| 0.3141326904296875, 0.2473602294921875, 0.1395416259765625}; | |
| static double fs_average(fs_ctx *_ctx, int _l) { | |
| double *ssim; | |
| double ret; | |
| int w; | |
| int h; | |
| int i; | |
| int j; | |
| w = _ctx->level[_l].w; | |
| h = _ctx->level[_l].h; | |
| ssim = _ctx->level[_l].ssim; | |
| ret = 0; | |
| for (j = 0; j < h; j++) | |
| for (i = 0; i < w; i++) | |
| 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 vpx_calc_fastssim(const YV12_BUFFER_CONFIG *source, | |
| const YV12_BUFFER_CONFIG *dest, | |
| double *ssim_y, double *ssim_u, double *ssim_v) { | |
| double ssimv; | |
| vpx_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); | |
| } |