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Commit 3f6f7289 authored by Jim Bankoski's avatar Jim Bankoski Committed by John Koleszar
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vp8cx- alternate ssim function with optimizations 

Change-Id: I91921b0a90dbaddc7010380b038955be347964b3
parent a0306ea6
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Showing with 468 additions and 294 deletions
vp8/encoder/generic/csystemdependent.c
View file @ 3f6f7289
......@@ -103,6 +103,10 @@ void vp8_cmachine_specific_config(VP8_COMP *cpi)
// Pure C:
vp8_yv12_copy_partial_frame_ptr = vp8_yv12_copy_partial_frame;
#if CONFIG_PSNR
cpi->rtcd.variance.ssimpf_8x8 = ssim_parms_8x8_c;
cpi->rtcd.variance.ssimpf = ssim_parms_c;
#endif
#if ARCH_X86 || ARCH_X86_64
vp8_arch_x86_encoder_init(cpi);
......
vp8/encoder/onyx_if.c
View file @ 3f6f7289
......@@ -86,9 +86,11 @@ extern double vp8_calc_ssim
YV12_BUFFER_CONFIG *source,
YV12_BUFFER_CONFIG *dest,
int lumamask,
double *weight
double *weight,
const vp8_variance_rtcd_vtable_t *rtcd
);
extern double vp8_calc_ssimg
(
YV12_BUFFER_CONFIG *source,
......@@ -5133,8 +5135,12 @@ int vp8_get_compressed_data(VP8_PTR ptr, unsigned int *frame_flags, unsigned lon
vp8_deblock(cm->frame_to_show, &cm->post_proc_buffer, cm->filter_level * 10 / 6, 1, 0, IF_RTCD(&cm->rtcd.postproc));
vp8_clear_system_state();
frame_psnr2 = vp8_calc_psnr(cpi->Source, &cm->post_proc_buffer, &y2, &u2, &v2, &sq_error);
frame_ssim2 = vp8_calc_ssim(cpi->Source, &cm->post_proc_buffer, 1, &weight);
frame_psnr2 = vp8_calc_psnr(cpi->Source,
&cm->post_proc_buffer, &y2, &u2, &v2, &sq_error);
frame_ssim2 = vp8_calc_ssim(cpi->Source,
&cm->post_proc_buffer, 1, &weight,
IF_RTCD(&cpi->rtcd.variance));
cpi->summed_quality += frame_ssim2 * weight;
cpi->summed_weights += weight;
......
vp8/encoder/ssim.c
View file @ 3f6f7289
......@@ -11,298 +11,13 @@
#include "vpx_scale/yv12config.h"
#include "math.h"
#include "onyx_int.h"
#define C1 (float)(64 * 64 * 0.01*255*0.01*255)
#define C2 (float)(64 * 64 * 0.03*255*0.03*255)
static int width_y;
static int height_y;
static int height_uv;
static int width_uv;
static int stride_uv;
static int stride;
static int lumimask;
static int luminance;
static double plane_summed_weights = 0;
static short img12_sum_block[8*4096*4096*2] ;
static short img1_sum[8*4096*2];
static short img2_sum[8*4096*2];
static int img1_sq_sum[8*4096*2];
static int img2_sq_sum[8*4096*2];
static int img12_mul_sum[8*4096*2];
double vp8_similarity
(
int mu_x,
int mu_y,
int pre_mu_x2,
int pre_mu_y2,
int pre_mu_xy2
)
{
int mu_x2, mu_y2, mu_xy, theta_x2, theta_y2, theta_xy;
mu_x2 = mu_x * mu_x;
mu_y2 = mu_y * mu_y;
mu_xy = mu_x * mu_y;
theta_x2 = 64 * pre_mu_x2 - mu_x2;
theta_y2 = 64 * pre_mu_y2 - mu_y2;
theta_xy = 64 * pre_mu_xy2 - mu_xy;
return (2 * mu_xy + C1) * (2 * theta_xy + C2) / ((mu_x2 + mu_y2 + C1) * (theta_x2 + theta_y2 + C2));
}
double vp8_ssim
(
const unsigned char *img1,
const unsigned char *img2,
int stride_img1,
int stride_img2,
int width,
int height
)
{
int x, y, x2, y2, img1_block, img2_block, img1_sq_block, img2_sq_block, img12_mul_block, temp;
double plane_quality, weight, mean;
short *img1_sum_ptr1, *img1_sum_ptr2;
short *img2_sum_ptr1, *img2_sum_ptr2;
int *img1_sq_sum_ptr1, *img1_sq_sum_ptr2;
int *img2_sq_sum_ptr1, *img2_sq_sum_ptr2;
int *img12_mul_sum_ptr1, *img12_mul_sum_ptr2;
plane_quality = 0;
if (lumimask)
plane_summed_weights = 0.0f;
else
plane_summed_weights = (height - 7) * (width - 7);
//some prologue for the main loop
temp = 8 * width;
img1_sum_ptr1 = img1_sum + temp;
img2_sum_ptr1 = img2_sum + temp;
img1_sq_sum_ptr1 = img1_sq_sum + temp;
img2_sq_sum_ptr1 = img2_sq_sum + temp;
img12_mul_sum_ptr1 = img12_mul_sum + temp;
for (x = 0; x < width; x++)
{
img1_sum[x] = img1[x];
img2_sum[x] = img2[x];
img1_sq_sum[x] = img1[x] * img1[x];
img2_sq_sum[x] = img2[x] * img2[x];
img12_mul_sum[x] = img1[x] * img2[x];
img1_sum_ptr1[x] = 0;
img2_sum_ptr1[x] = 0;
img1_sq_sum_ptr1[x] = 0;
img2_sq_sum_ptr1[x] = 0;
img12_mul_sum_ptr1[x] = 0;
}
//the main loop
for (y = 1; y < height; y++)
{
img1 += stride_img1;
img2 += stride_img2;
temp = (y - 1) % 9 * width;
img1_sum_ptr1 = img1_sum + temp;
img2_sum_ptr1 = img2_sum + temp;
img1_sq_sum_ptr1 = img1_sq_sum + temp;
img2_sq_sum_ptr1 = img2_sq_sum + temp;
img12_mul_sum_ptr1 = img12_mul_sum + temp;
temp = y % 9 * width;
img1_sum_ptr2 = img1_sum + temp;
img2_sum_ptr2 = img2_sum + temp;
img1_sq_sum_ptr2 = img1_sq_sum + temp;
img2_sq_sum_ptr2 = img2_sq_sum + temp;
img12_mul_sum_ptr2 = img12_mul_sum + temp;
for (x = 0; x < width; x++)
{
img1_sum_ptr2[x] = img1_sum_ptr1[x] + img1[x];
img2_sum_ptr2[x] = img2_sum_ptr1[x] + img2[x];
img1_sq_sum_ptr2[x] = img1_sq_sum_ptr1[x] + img1[x] * img1[x];
img2_sq_sum_ptr2[x] = img2_sq_sum_ptr1[x] + img2[x] * img2[x];
img12_mul_sum_ptr2[x] = img12_mul_sum_ptr1[x] + img1[x] * img2[x];
}
if (y > 6)
{
//calculate the sum of the last 8 lines by subtracting the total sum of 8 lines back from the present sum
temp = (y + 1) % 9 * width;
img1_sum_ptr1 = img1_sum + temp;
img2_sum_ptr1 = img2_sum + temp;
img1_sq_sum_ptr1 = img1_sq_sum + temp;
img2_sq_sum_ptr1 = img2_sq_sum + temp;
img12_mul_sum_ptr1 = img12_mul_sum + temp;
for (x = 0; x < width; x++)
{
img1_sum_ptr1[x] = img1_sum_ptr2[x] - img1_sum_ptr1[x];
img2_sum_ptr1[x] = img2_sum_ptr2[x] - img2_sum_ptr1[x];
img1_sq_sum_ptr1[x] = img1_sq_sum_ptr2[x] - img1_sq_sum_ptr1[x];
img2_sq_sum_ptr1[x] = img2_sq_sum_ptr2[x] - img2_sq_sum_ptr1[x];
img12_mul_sum_ptr1[x] = img12_mul_sum_ptr2[x] - img12_mul_sum_ptr1[x];
}
//here we calculate the sum over the 8x8 block of pixels
//this is done by sliding a window across the column sums for the last 8 lines
//each time adding the new column sum, and subtracting the one which fell out of the window
img1_block = 0;
img2_block = 0;
img1_sq_block = 0;
img2_sq_block = 0;
img12_mul_block = 0;
//prologue, and calculation of simularity measure from the first 8 column sums
for (x = 0; x < 8; x++)
{
img1_block += img1_sum_ptr1[x];
img2_block += img2_sum_ptr1[x];
img1_sq_block += img1_sq_sum_ptr1[x];
img2_sq_block += img2_sq_sum_ptr1[x];
img12_mul_block += img12_mul_sum_ptr1[x];
}
if (lumimask)
{
y2 = y - 7;
x2 = 0;
if (luminance)
{
mean = (img2_block + img1_block) / 128.0f;
if (!(y2 % 2 || x2 % 2))
*(img12_sum_block + y2 / 2 * width_uv + x2 / 2) = img2_block + img1_block;
}
else
{
mean = *(img12_sum_block + y2 * width_uv + x2);
mean += *(img12_sum_block + y2 * width_uv + x2 + 4);
mean += *(img12_sum_block + (y2 + 4) * width_uv + x2);
mean += *(img12_sum_block + (y2 + 4) * width_uv + x2 + 4);
mean /= 512.0f;
}
weight = mean < 40 ? 0.0f :
(mean < 50 ? (mean - 40.0f) / 10.0f : 1.0f);
plane_summed_weights += weight;
plane_quality += weight * vp8_similarity(img1_block, img2_block, img1_sq_block, img2_sq_block, img12_mul_block);
}
else
plane_quality += vp8_similarity(img1_block, img2_block, img1_sq_block, img2_sq_block, img12_mul_block);
//and for the rest
for (x = 8; x < width; x++)
{
img1_block = img1_block + img1_sum_ptr1[x] - img1_sum_ptr1[x - 8];
img2_block = img2_block + img2_sum_ptr1[x] - img2_sum_ptr1[x - 8];
img1_sq_block = img1_sq_block + img1_sq_sum_ptr1[x] - img1_sq_sum_ptr1[x - 8];
img2_sq_block = img2_sq_block + img2_sq_sum_ptr1[x] - img2_sq_sum_ptr1[x - 8];
img12_mul_block = img12_mul_block + img12_mul_sum_ptr1[x] - img12_mul_sum_ptr1[x - 8];
if (lumimask)
{
y2 = y - 7;
x2 = x - 7;
if (luminance)
{
mean = (img2_block + img1_block) / 128.0f;
if (!(y2 % 2 || x2 % 2))
*(img12_sum_block + y2 / 2 * width_uv + x2 / 2) = img2_block + img1_block;
}
else
{
mean = *(img12_sum_block + y2 * width_uv + x2);
mean += *(img12_sum_block + y2 * width_uv + x2 + 4);
mean += *(img12_sum_block + (y2 + 4) * width_uv + x2);
mean += *(img12_sum_block + (y2 + 4) * width_uv + x2 + 4);
mean /= 512.0f;
}
weight = mean < 40 ? 0.0f :
(mean < 50 ? (mean - 40.0f) / 10.0f : 1.0f);
plane_summed_weights += weight;
plane_quality += weight * vp8_similarity(img1_block, img2_block, img1_sq_block, img2_sq_block, img12_mul_block);
}
else
plane_quality += vp8_similarity(img1_block, img2_block, img1_sq_block, img2_sq_block, img12_mul_block);
}
}
}
if (plane_summed_weights == 0)
return 1.0f;
else
return plane_quality / plane_summed_weights;
}
double vp8_calc_ssim
(
YV12_BUFFER_CONFIG *source,
YV12_BUFFER_CONFIG *dest,
int lumamask,
double *weight
)
{
double a, b, c;
double frame_weight;
double ssimv;
width_y = source->y_width;
height_y = source->y_height;
height_uv = source->uv_height;
width_uv = source->uv_width;
stride_uv = dest->uv_stride;
stride = dest->y_stride;
lumimask = lumamask;
luminance = 1;
a = vp8_ssim(source->y_buffer, dest->y_buffer,
source->y_stride, dest->y_stride, source->y_width, source->y_height);
luminance = 0;
frame_weight = plane_summed_weights / ((width_y - 7) * (height_y - 7));
if (frame_weight == 0)
a = b = c = 1.0f;
else
{
b = vp8_ssim(source->u_buffer, dest->u_buffer,
source->uv_stride, dest->uv_stride, source->uv_width, source->uv_height);
c = vp8_ssim(source->v_buffer, dest->v_buffer,
source->uv_stride, dest->uv_stride, source->uv_width, source->uv_height);
}
ssimv = a * .8 + .1 * (b + c);
*weight = frame_weight;
return ssimv;
}
#if CONFIG_RUNTIME_CPU_DETECT
#define IF_RTCD(x) (x)
#else
#define IF_RTCD(x) NULL
#endif
// Google version of SSIM
// SSIM
#define KERNEL 3
......@@ -520,3 +235,174 @@ double vp8_calc_ssimg
*ssim_v /= uvsize;
return ssim_all;
}
void ssim_parms_c
(
unsigned char *s,
int sp,
unsigned char *r,
int rp,
unsigned long *sum_s,
unsigned long *sum_r,
unsigned long *sum_sq_s,
unsigned long *sum_sq_r,
unsigned long *sum_sxr
)
{
int i,j;
for(i=0;i<16;i++,s+=sp,r+=rp)
{
for(j=0;j<16;j++)
{
*sum_s += s[j];
*sum_r += r[j];
*sum_sq_s += s[j] * s[j];
*sum_sq_r += r[j] * r[j];
*sum_sxr += s[j] * r[j];
}
}
}
void ssim_parms_8x8_c
(
unsigned char *s,
int sp,
unsigned char *r,
int rp,
unsigned long *sum_s,
unsigned long *sum_r,
unsigned long *sum_sq_s,
unsigned long *sum_sq_r,
unsigned long *sum_sxr
)
{
int i,j;
for(i=0;i<8;i++,s+=sp,r+=rp)
{
for(j=0;j<8;j++)
{
*sum_s += s[j];
*sum_r += r[j];
*sum_sq_s += s[j] * s[j];
*sum_sq_r += r[j] * r[j];
*sum_sxr += s[j] * r[j];
}
}
}
const static long long c1 = 426148; // (256^2*(.01*255)^2
const static long long c2 = 3835331; //(256^2*(.03*255)^2
static double similarity
(
unsigned long sum_s,
unsigned long sum_r,
unsigned long sum_sq_s,
unsigned long sum_sq_r,
unsigned long sum_sxr,
int count
)
{
long long ssim_n = (2*sum_s*sum_r+ c1)*(2*count*sum_sxr-2*sum_s*sum_r+c2);
long long ssim_d = (sum_s*sum_s +sum_r*sum_r+c1)*
(count*sum_sq_s-sum_s*sum_s + count*sum_sq_r-sum_r*sum_r +c2) ;
return ssim_n * 1.0 / ssim_d;
}
static double ssim_16x16(unsigned char *s,int sp, unsigned char *r,int rp,
const vp8_variance_rtcd_vtable_t *rtcd)
{
unsigned long sum_s=0,sum_r=0,sum_sq_s=0,sum_sq_r=0,sum_sxr=0;
rtcd->ssimpf(s, sp, r, rp, &sum_s, &sum_r, &sum_sq_s, &sum_sq_r, &sum_sxr);
return similarity(sum_s, sum_r, sum_sq_s, sum_sq_r, sum_sxr, 256);
}
static double ssim_8x8(unsigned char *s,int sp, unsigned char *r,int rp,
const vp8_variance_rtcd_vtable_t *rtcd)
{
unsigned long sum_s=0,sum_r=0,sum_sq_s=0,sum_sq_r=0,sum_sxr=0;
rtcd->ssimpf_8x8(s, sp, r, rp, &sum_s, &sum_r, &sum_sq_s, &sum_sq_r, &sum_sxr);
return similarity(sum_s, sum_r, sum_sq_s, sum_sq_r, sum_sxr, 64);
}
// TODO: (jbb) tried to scale this function such that we may be able to use it
// for distortion metric in mode selection code ( provided we do a reconstruction)
long dssim(unsigned char *s,int sp, unsigned char *r,int rp,
const vp8_variance_rtcd_vtable_t *rtcd)
{
unsigned long sum_s=0,sum_r=0,sum_sq_s=0,sum_sq_r=0,sum_sxr=0;
double ssim3;
long long ssim_n;
long long ssim_d;
rtcd->ssimpf(s, sp, r, rp, &sum_s, &sum_r, &sum_sq_s, &sum_sq_r, &sum_sxr);
ssim_n = (2*sum_s*sum_r+ c1)*(2*256*sum_sxr-2*sum_s*sum_r+c2);
ssim_d = (sum_s*sum_s +sum_r*sum_r+c1)*
(256*sum_sq_s-sum_s*sum_s + 256*sum_sq_r-sum_r*sum_r +c2) ;
ssim3 = 256 * (ssim_d-ssim_n) / ssim_d;
return (long)( 256*ssim3 * ssim3 );
}
// TODO: (jbb) this 8x8 window might be too big + we may want to pick pixels
// such that the window regions overlap block boundaries to penalize blocking
// artifacts.
double vp8_ssim2
(
unsigned char *img1,
unsigned char *img2,
int stride_img1,
int stride_img2,
int width,
int height,
const vp8_variance_rtcd_vtable_t *rtcd
)
{
int i,j;
double ssim_total=0;
// we can sample points as frequently as we like start with 1 per 8x8
for(i=0; i < height; i+=8, img1 += stride_img1*8, img2 += stride_img2*8)
{
for(j=0; j < width; j+=8 )
{
ssim_total += ssim_8x8(img1, stride_img1, img2, stride_img2, rtcd);
}
}
ssim_total /= (width/8 * height /8);
return ssim_total;
}
double vp8_calc_ssim
(
YV12_BUFFER_CONFIG *source,
YV12_BUFFER_CONFIG *dest,
int lumamask,
double *weight,
const vp8_variance_rtcd_vtable_t *rtcd
)
{
double a, b, c;
double ssimv;
//IF_RTCD(&cpi->rtcd.variance)
a = vp8_ssim2(source->y_buffer, dest->y_buffer,
source->y_stride, dest->y_stride, source->y_width,
source->y_height, rtcd);
b = vp8_ssim2(source->u_buffer, dest->u_buffer,
source->uv_stride, dest->uv_stride, source->uv_width,
source->uv_height, rtcd);
c = vp8_ssim2(source->v_buffer, dest->v_buffer,
source->uv_stride, dest->uv_stride, source->uv_width,
source->uv_height, rtcd);
ssimv = a * .8 + .1 * (b + c);
*weight = 1;
return ssimv;
}
vp8/encoder/variance.h
View file @ 3f6f7289
......@@ -85,6 +85,19 @@
unsigned int *sse \
);
#define prototype_ssimpf(sym) \
void (sym) \
( \
unsigned char *s, \
int sp, \
unsigned char *r, \
int rp, \
unsigned long *sum_s, \
unsigned long *sum_r, \
unsigned long *sum_sq_s, \
unsigned long *sum_sq_r, \
unsigned long *sum_sxr \
);
#define prototype_getmbss(sym) unsigned int (sym)(const short *)
......@@ -306,6 +319,15 @@ extern prototype_variance2(vp8_variance_get16x16var);
#endif
extern prototype_sad(vp8_variance_get4x4sse_cs);
#ifndef vp8_ssimpf
#define vp8_ssimpf ssim_parms_c
#endif
extern prototype_ssimpf(vp8_ssimpf)
#ifndef vp8_ssimpf_8x8
#define vp8_ssimpf_8x8 ssim_parms_8x8_c
#endif
extern prototype_ssimpf(vp8_ssimpf_8x8)
typedef prototype_sad(*vp8_sad_fn_t);
typedef prototype_sad_multi_same_address(*vp8_sad_multi_fn_t);
......@@ -315,6 +337,10 @@ typedef prototype_variance(*vp8_variance_fn_t);
typedef prototype_variance2(*vp8_variance2_fn_t);
typedef prototype_subpixvariance(*vp8_subpixvariance_fn_t);
typedef prototype_getmbss(*vp8_getmbss_fn_t);
typedef prototype_ssimpf(*vp8_ssimpf_fn_t)
typedef struct
{
vp8_sad_fn_t sad4x4;
......@@ -365,6 +391,11 @@ typedef struct
vp8_sad_multi_d_fn_t sad8x8x4d;
vp8_sad_multi_d_fn_t sad4x4x4d;
#if CONFIG_PSNR
vp8_ssimpf_fn_t ssimpf_8x8;
vp8_ssimpf_fn_t ssimpf;
#endif
} vp8_variance_rtcd_vtable_t;
typedef struct
......@@ -378,6 +409,7 @@ typedef struct
vp8_sad_multi_fn_t sdx3f;
vp8_sad_multi1_fn_t sdx8f;
vp8_sad_multi_d_fn_t sdx4df;
} vp8_variance_fn_ptr_t;
#if CONFIG_RUNTIME_CPU_DETECT
......
vp8/encoder/x86/ssim_opt.asm 0 → 100644
View file @ 3f6f7289
;
; 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.
;
%include "vpx_ports/x86_abi_support.asm"
; tabulate_ssim - sums sum_s,sum_r,sum_sq_s,sum_sq_r, sum_sxr
%macro TABULATE_SSIM 0
paddusw xmm15, xmm3 ; sum_s
paddusw xmm14, xmm4 ; sum_r
movdqa xmm1, xmm3
pmaddwd xmm1, xmm1
paddq xmm13, xmm1 ; sum_sq_s
movdqa xmm2, xmm4
pmaddwd xmm2, xmm2
paddq xmm12, xmm2 ; sum_sq_r
pmaddwd xmm3, xmm4
paddq xmm11, xmm3 ; sum_sxr
%endmacro
; Sum across the register %1 starting with q words
%macro SUM_AC