83a91e789c
This commit continues the process of converting to the new RTCD system. Change-Id: Ie5c1aa480637e98dc3918fb562ff45c37a66c538
234 lines
6.0 KiB
C
234 lines
6.0 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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#include "onyx_int.h"
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void vp8_ssim_parms_16x16_c
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(
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unsigned char *s,
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int sp,
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unsigned char *r,
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int rp,
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unsigned long *sum_s,
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unsigned long *sum_r,
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unsigned long *sum_sq_s,
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unsigned long *sum_sq_r,
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unsigned long *sum_sxr
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)
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{
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int i,j;
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for(i=0;i<16;i++,s+=sp,r+=rp)
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{
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for(j=0;j<16;j++)
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{
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*sum_s += s[j];
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*sum_r += r[j];
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*sum_sq_s += s[j] * s[j];
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*sum_sq_r += r[j] * r[j];
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*sum_sxr += s[j] * r[j];
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}
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}
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}
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void vp8_ssim_parms_8x8_c
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(
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unsigned char *s,
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int sp,
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unsigned char *r,
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int rp,
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unsigned long *sum_s,
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unsigned long *sum_r,
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unsigned long *sum_sq_s,
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unsigned long *sum_sq_r,
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unsigned long *sum_sxr
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)
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{
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int i,j;
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for(i=0;i<8;i++,s+=sp,r+=rp)
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{
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for(j=0;j<8;j++)
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{
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*sum_s += s[j];
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*sum_r += r[j];
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*sum_sq_s += s[j] * s[j];
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*sum_sq_r += r[j] * r[j];
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*sum_sxr += s[j] * r[j];
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}
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}
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}
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const static int64_t cc1 = 26634; // (64^2*(.01*255)^2
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const static int64_t cc2 = 239708; // (64^2*(.03*255)^2
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static double similarity
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(
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unsigned long sum_s,
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unsigned long sum_r,
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unsigned long sum_sq_s,
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unsigned long sum_sq_r,
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unsigned long sum_sxr,
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int count
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)
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{
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int64_t ssim_n, ssim_d;
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int64_t c1, c2;
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//scale the constants by number of pixels
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c1 = (cc1*count*count)>>12;
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c2 = (cc2*count*count)>>12;
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ssim_n = (2*sum_s*sum_r+ c1)*((int64_t) 2*count*sum_sxr-
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(int64_t) 2*sum_s*sum_r+c2);
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ssim_d = (sum_s*sum_s +sum_r*sum_r+c1)*
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((int64_t)count*sum_sq_s-(int64_t)sum_s*sum_s +
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(int64_t)count*sum_sq_r-(int64_t) sum_r*sum_r +c2) ;
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return ssim_n * 1.0 / ssim_d;
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}
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static double ssim_16x16(unsigned char *s,int sp, unsigned char *r,int rp)
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{
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unsigned long sum_s=0,sum_r=0,sum_sq_s=0,sum_sq_r=0,sum_sxr=0;
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vp8_ssim_parms_16x16(s, sp, r, rp, &sum_s, &sum_r, &sum_sq_s, &sum_sq_r, &sum_sxr);
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return similarity(sum_s, sum_r, sum_sq_s, sum_sq_r, sum_sxr, 256);
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}
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static double ssim_8x8(unsigned char *s,int sp, unsigned char *r,int rp)
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{
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unsigned long sum_s=0,sum_r=0,sum_sq_s=0,sum_sq_r=0,sum_sxr=0;
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vp8_ssim_parms_8x8(s, sp, r, rp, &sum_s, &sum_r, &sum_sq_s, &sum_sq_r, &sum_sxr);
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return similarity(sum_s, sum_r, sum_sq_s, sum_sq_r, sum_sxr, 64);
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}
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// TODO: (jbb) tried to scale this function such that we may be able to use it
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// for distortion metric in mode selection code ( provided we do a reconstruction)
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long dssim(unsigned char *s,int sp, unsigned char *r,int rp)
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{
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unsigned long sum_s=0,sum_r=0,sum_sq_s=0,sum_sq_r=0,sum_sxr=0;
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int64_t ssim3;
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int64_t ssim_n1,ssim_n2;
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int64_t ssim_d1,ssim_d2;
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int64_t ssim_t1,ssim_t2;
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int64_t c1, c2;
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// normalize by 256/64
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c1 = cc1*16;
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c2 = cc2*16;
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vp8_ssim_parms_16x16(s, sp, r, rp, &sum_s, &sum_r, &sum_sq_s, &sum_sq_r, &sum_sxr);
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ssim_n1 = (2*sum_s*sum_r+ c1);
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ssim_n2 =((int64_t) 2*256*sum_sxr-(int64_t) 2*sum_s*sum_r+c2);
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ssim_d1 =((int64_t)sum_s*sum_s +(int64_t)sum_r*sum_r+c1);
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ssim_d2 = (256 * (int64_t) sum_sq_s-(int64_t) sum_s*sum_s +
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(int64_t) 256*sum_sq_r-(int64_t) sum_r*sum_r +c2) ;
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ssim_t1 = 256 - 256 * ssim_n1 / ssim_d1;
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ssim_t2 = 256 - 256 * ssim_n2 / ssim_d2;
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ssim3 = 256 *ssim_t1 * ssim_t2;
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if(ssim3 <0 )
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ssim3=0;
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return (long)( ssim3 );
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}
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// We are using a 8x8 moving window with starting location of each 8x8 window
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// on the 4x4 pixel grid. Such arrangement allows the windows to overlap
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// block boundaries to penalize blocking artifacts.
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double vp8_ssim2
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(
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unsigned char *img1,
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unsigned char *img2,
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int stride_img1,
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int stride_img2,
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int width,
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int height
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)
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{
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int i,j;
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int samples =0;
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double ssim_total=0;
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// sample point start with each 4x4 location
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for(i=0; i < height-8; i+=4, img1 += stride_img1*4, img2 += stride_img2*4)
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{
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for(j=0; j < width-8; j+=4 )
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{
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double v = ssim_8x8(img1+j, stride_img1, img2+j, stride_img2);
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ssim_total += v;
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samples++;
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}
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}
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ssim_total /= samples;
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return ssim_total;
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}
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double vp8_calc_ssim
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(
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YV12_BUFFER_CONFIG *source,
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YV12_BUFFER_CONFIG *dest,
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int lumamask,
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double *weight
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)
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{
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double a, b, c;
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double ssimv;
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a = vp8_ssim2(source->y_buffer, dest->y_buffer,
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source->y_stride, dest->y_stride, source->y_width,
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source->y_height);
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b = vp8_ssim2(source->u_buffer, dest->u_buffer,
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source->uv_stride, dest->uv_stride, source->uv_width,
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source->uv_height);
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c = vp8_ssim2(source->v_buffer, dest->v_buffer,
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source->uv_stride, dest->uv_stride, source->uv_width,
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source->uv_height);
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ssimv = a * .8 + .1 * (b + c);
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*weight = 1;
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return ssimv;
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}
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double vp8_calc_ssimg
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(
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YV12_BUFFER_CONFIG *source,
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YV12_BUFFER_CONFIG *dest,
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double *ssim_y,
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double *ssim_u,
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double *ssim_v
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)
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{
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double ssim_all = 0;
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double a, b, c;
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a = vp8_ssim2(source->y_buffer, dest->y_buffer,
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source->y_stride, dest->y_stride, source->y_width,
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source->y_height);
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b = vp8_ssim2(source->u_buffer, dest->u_buffer,
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source->uv_stride, dest->uv_stride, source->uv_width,
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source->uv_height);
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c = vp8_ssim2(source->v_buffer, dest->v_buffer,
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source->uv_stride, dest->uv_stride, source->uv_width,
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source->uv_height);
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*ssim_y = a;
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*ssim_u = b;
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*ssim_v = c;
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ssim_all = (a * 4 + b + c) /6;
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return ssim_all;
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}
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