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Open Source Computer Vision Library
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214 lines
7.2 KiB
214 lines
7.2 KiB
8 years ago
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// Copyright 2014 Google Inc. 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 COPYING 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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//
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// WebPPicture tools for measuring distortion
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//
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// Author: Skal (pascal.massimino@gmail.com)
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#include <math.h>
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#include <stdlib.h>
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#include "./vp8i_enc.h"
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#include "../utils/utils.h"
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typedef double (*AccumulateFunc)(const uint8_t* src, int src_stride,
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const uint8_t* ref, int ref_stride,
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int w, int h);
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//------------------------------------------------------------------------------
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// local-min distortion
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//
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// For every pixel in the *reference* picture, we search for the local best
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// match in the compressed image. This is not a symmetrical measure.
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#define RADIUS 2 // search radius. Shouldn't be too large.
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static double AccumulateLSIM(const uint8_t* src, int src_stride,
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const uint8_t* ref, int ref_stride,
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int w, int h) {
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int x, y;
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double total_sse = 0.;
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for (y = 0; y < h; ++y) {
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const int y_0 = (y - RADIUS < 0) ? 0 : y - RADIUS;
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const int y_1 = (y + RADIUS + 1 >= h) ? h : y + RADIUS + 1;
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for (x = 0; x < w; ++x) {
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const int x_0 = (x - RADIUS < 0) ? 0 : x - RADIUS;
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const int x_1 = (x + RADIUS + 1 >= w) ? w : x + RADIUS + 1;
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double best_sse = 255. * 255.;
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const double value = (double)ref[y * ref_stride + x];
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int i, j;
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for (j = y_0; j < y_1; ++j) {
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const uint8_t* const s = src + j * src_stride;
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for (i = x_0; i < x_1; ++i) {
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const double diff = s[i] - value;
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const double sse = diff * diff;
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if (sse < best_sse) best_sse = sse;
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}
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}
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total_sse += best_sse;
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}
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}
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return total_sse;
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}
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#undef RADIUS
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static double AccumulateSSE(const uint8_t* src, int src_stride,
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const uint8_t* ref, int ref_stride,
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int w, int h) {
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int y;
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double total_sse = 0.;
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for (y = 0; y < h; ++y) {
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total_sse += VP8AccumulateSSE(src, ref, w);
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src += src_stride;
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ref += ref_stride;
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}
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return total_sse;
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}
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//------------------------------------------------------------------------------
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static double AccumulateSSIM(const uint8_t* src, int src_stride,
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const uint8_t* ref, int ref_stride,
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int w, int h) {
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const int w0 = (w < VP8_SSIM_KERNEL) ? w : VP8_SSIM_KERNEL;
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const int w1 = w - VP8_SSIM_KERNEL - 1;
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const int h0 = (h < VP8_SSIM_KERNEL) ? h : VP8_SSIM_KERNEL;
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const int h1 = h - VP8_SSIM_KERNEL - 1;
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int x, y;
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double sum = 0.;
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for (y = 0; y < h0; ++y) {
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for (x = 0; x < w; ++x) {
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sum += VP8SSIMGetClipped(src, src_stride, ref, ref_stride, x, y, w, h);
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}
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}
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for (; y < h1; ++y) {
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for (x = 0; x < w0; ++x) {
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sum += VP8SSIMGetClipped(src, src_stride, ref, ref_stride, x, y, w, h);
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}
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for (; x < w1; ++x) {
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const int off1 = x - VP8_SSIM_KERNEL + (y - VP8_SSIM_KERNEL) * src_stride;
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const int off2 = x - VP8_SSIM_KERNEL + (y - VP8_SSIM_KERNEL) * ref_stride;
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sum += VP8SSIMGet(src + off1, src_stride, ref + off2, ref_stride);
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}
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for (; x < w; ++x) {
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sum += VP8SSIMGetClipped(src, src_stride, ref, ref_stride, x, y, w, h);
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}
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}
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for (; y < h; ++y) {
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for (x = 0; x < w; ++x) {
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sum += VP8SSIMGetClipped(src, src_stride, ref, ref_stride, x, y, w, h);
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}
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}
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return sum;
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}
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//------------------------------------------------------------------------------
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// Distortion
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// Max value returned in case of exact similarity.
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static const double kMinDistortion_dB = 99.;
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static double GetPSNR(double v, double size) {
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return (v > 0. && size > 0.) ? -4.3429448 * log(v / (size * 255 * 255.))
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: kMinDistortion_dB;
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}
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static double GetLogSSIM(double v, double size) {
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v = (size > 0.) ? v / size : 1.;
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return (v < 1.) ? -10.0 * log10(1. - v) : kMinDistortion_dB;
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}
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int WebPPlaneDistortion(const uint8_t* src, size_t src_stride,
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const uint8_t* ref, size_t ref_stride,
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int width, int height, size_t x_step,
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int type, float* distortion, float* result) {
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uint8_t* allocated = NULL;
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const AccumulateFunc metric = (type == 0) ? AccumulateSSE :
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(type == 1) ? AccumulateSSIM :
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AccumulateLSIM;
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if (src == NULL || ref == NULL ||
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src_stride < x_step * width || ref_stride < x_step * width ||
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result == NULL || distortion == NULL) {
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return 0;
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}
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VP8SSIMDspInit();
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if (x_step != 1) { // extract a packed plane if needed
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int x, y;
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uint8_t* tmp1;
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uint8_t* tmp2;
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allocated =
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(uint8_t*)WebPSafeMalloc(2ULL * width * height, sizeof(*allocated));
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if (allocated == NULL) return 0;
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tmp1 = allocated;
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tmp2 = tmp1 + (size_t)width * height;
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for (y = 0; y < height; ++y) {
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for (x = 0; x < width; ++x) {
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tmp1[x + y * width] = src[x * x_step + y * src_stride];
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tmp2[x + y * width] = ref[x * x_step + y * ref_stride];
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}
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}
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src = tmp1;
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ref = tmp2;
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}
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*distortion = (float)metric(src, width, ref, width, width, height);
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WebPSafeFree(allocated);
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*result = (type == 1) ? (float)GetLogSSIM(*distortion, (double)width * height)
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: (float)GetPSNR(*distortion, (double)width * height);
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return 1;
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}
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int WebPPictureDistortion(const WebPPicture* src, const WebPPicture* ref,
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int type, float results[5]) {
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int w, h, c;
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int ok = 0;
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WebPPicture p0, p1;
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double total_size = 0., total_distortion = 0.;
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if (src == NULL || ref == NULL ||
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src->width != ref->width || src->height != ref->height ||
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results == NULL) {
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return 0;
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}
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VP8SSIMDspInit();
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if (!WebPPictureInit(&p0) || !WebPPictureInit(&p1)) return 0;
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w = src->width;
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h = src->height;
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if (!WebPPictureView(src, 0, 0, w, h, &p0)) goto Error;
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if (!WebPPictureView(ref, 0, 0, w, h, &p1)) goto Error;
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// We always measure distortion in ARGB space.
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if (p0.use_argb == 0 && !WebPPictureYUVAToARGB(&p0)) goto Error;
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if (p1.use_argb == 0 && !WebPPictureYUVAToARGB(&p1)) goto Error;
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for (c = 0; c < 4; ++c) {
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float distortion;
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const size_t stride0 = 4 * (size_t)p0.argb_stride;
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const size_t stride1 = 4 * (size_t)p1.argb_stride;
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if (!WebPPlaneDistortion((const uint8_t*)p0.argb + c, stride0,
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(const uint8_t*)p1.argb + c, stride1,
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w, h, 4, type, &distortion, results + c)) {
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goto Error;
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}
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total_distortion += distortion;
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total_size += w * h;
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}
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results[4] = (type == 1) ? (float)GetLogSSIM(total_distortion, total_size)
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: (float)GetPSNR(total_distortion, total_size);
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ok = 1;
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Error:
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WebPPictureFree(&p0);
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WebPPictureFree(&p1);
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return ok;
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}
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//------------------------------------------------------------------------------
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