323 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			323 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
/*
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 *  Copyright (c) 2012 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 "denoising.h"
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#include "vp8/common/reconinter.h"
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#include "vpx/vpx_integer.h"
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#include "vpx_mem/vpx_mem.h"
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#include "vp8_rtcd.h"
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static const unsigned int NOISE_MOTION_THRESHOLD = 25 * 25;
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/* SSE_DIFF_THRESHOLD is selected as ~95% confidence assuming
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 * var(noise) ~= 100.
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 */
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static const unsigned int SSE_DIFF_THRESHOLD = 16 * 16 * 20;
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static const unsigned int SSE_THRESHOLD = 16 * 16 * 40;
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static const unsigned int SSE_THRESHOLD_HIGH = 16 * 16 * 60;
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/*
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 * The filter function was modified to reduce the computational complexity.
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 * Step 1:
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 * Instead of applying tap coefficients for each pixel, we calculated the
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 * pixel adjustments vs. pixel diff value ahead of time.
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 *     adjustment = filtered_value - current_raw
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 *                = (filter_coefficient * diff + 128) >> 8
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 * where
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 *     filter_coefficient = (255 << 8) / (256 + ((absdiff * 330) >> 3));
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 *     filter_coefficient += filter_coefficient /
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 *                           (3 + motion_magnitude_adjustment);
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 *     filter_coefficient is clamped to 0 ~ 255.
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 *
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 * Step 2:
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 * The adjustment vs. diff curve becomes flat very quick when diff increases.
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 * This allowed us to use only several levels to approximate the curve without
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 * changing the filtering algorithm too much.
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 * The adjustments were further corrected by checking the motion magnitude.
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 * The levels used are:
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 * diff       adjustment w/o motion correction   adjustment w/ motion correction
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 * [-255, -16]           -6                                   -7
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 * [-15, -8]             -4                                   -5
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 * [-7, -4]              -3                                   -4
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 * [-3, 3]               diff                                 diff
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 * [4, 7]                 3                                    4
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 * [8, 15]                4                                    5
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 * [16, 255]              6                                    7
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 */
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int vp8_denoiser_filter_c(unsigned char *mc_running_avg_y, int mc_avg_y_stride,
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                          unsigned char *running_avg_y, int avg_y_stride,
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                          unsigned char *sig, int sig_stride,
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                          unsigned int motion_magnitude,
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                          int increase_denoising)
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{
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    unsigned char *running_avg_y_start = running_avg_y;
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    unsigned char *sig_start = sig;
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    int sum_diff_thresh;
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    int r, c;
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    int sum_diff = 0;
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    int adj_val[3] = {3, 4, 6};
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    int shift_inc1 = 0;
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    int shift_inc2 = 1;
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    /* If motion_magnitude is small, making the denoiser more aggressive by
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     * increasing the adjustment for each level. Add another increment for
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     * blocks that are labeled for increase denoising. */
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    if (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD)
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    {
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      if (increase_denoising) {
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        shift_inc1 = 1;
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        shift_inc2 = 2;
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      }
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      adj_val[0] += shift_inc2;
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      adj_val[1] += shift_inc2;
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      adj_val[2] += shift_inc2;
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    }
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    for (r = 0; r < 16; ++r)
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    {
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        for (c = 0; c < 16; ++c)
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        {
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            int diff = 0;
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            int adjustment = 0;
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            int absdiff = 0;
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            diff = mc_running_avg_y[c] - sig[c];
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            absdiff = abs(diff);
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            // When |diff| <= |3 + shift_inc1|, use pixel value from
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            // last denoised raw.
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            if (absdiff <= 3 + shift_inc1)
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            {
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                running_avg_y[c] = mc_running_avg_y[c];
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                sum_diff += diff;
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            }
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            else
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            {
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                if (absdiff >= 4 && absdiff <= 7)
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                    adjustment = adj_val[0];
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                else if (absdiff >= 8 && absdiff <= 15)
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                    adjustment = adj_val[1];
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                else
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                    adjustment = adj_val[2];
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                if (diff > 0)
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                {
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                    if ((sig[c] + adjustment) > 255)
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                        running_avg_y[c] = 255;
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                    else
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                        running_avg_y[c] = sig[c] + adjustment;
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                    sum_diff += adjustment;
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                }
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                else
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                {
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                    if ((sig[c] - adjustment) < 0)
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                        running_avg_y[c] = 0;
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                    else
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                        running_avg_y[c] = sig[c] - adjustment;
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                    sum_diff -= adjustment;
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                }
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            }
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        }
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        /* Update pointers for next iteration. */
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        sig += sig_stride;
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        mc_running_avg_y += mc_avg_y_stride;
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        running_avg_y += avg_y_stride;
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    }
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    sum_diff_thresh= SUM_DIFF_THRESHOLD;
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    if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH;
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    if (abs(sum_diff) > sum_diff_thresh)
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        return COPY_BLOCK;
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    vp8_copy_mem16x16(running_avg_y_start, avg_y_stride, sig_start, sig_stride);
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    return FILTER_BLOCK;
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}
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int vp8_denoiser_allocate(VP8_DENOISER *denoiser, int width, int height)
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{
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    int i;
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    assert(denoiser);
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    for (i = 0; i < MAX_REF_FRAMES; i++)
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    {
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        denoiser->yv12_running_avg[i].flags = 0;
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        if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_running_avg[i]), width,
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                                        height, VP8BORDERINPIXELS)
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            < 0)
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        {
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            vp8_denoiser_free(denoiser);
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            return 1;
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        }
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        vpx_memset(denoiser->yv12_running_avg[i].buffer_alloc, 0,
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                   denoiser->yv12_running_avg[i].frame_size);
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    }
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    denoiser->yv12_mc_running_avg.flags = 0;
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    if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_mc_running_avg), width,
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                                   height, VP8BORDERINPIXELS) < 0)
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    {
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        vp8_denoiser_free(denoiser);
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        return 1;
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    }
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    vpx_memset(denoiser->yv12_mc_running_avg.buffer_alloc, 0,
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               denoiser->yv12_mc_running_avg.frame_size);
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    return 0;
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}
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void vp8_denoiser_free(VP8_DENOISER *denoiser)
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{
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    int i;
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    assert(denoiser);
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    for (i = 0; i < MAX_REF_FRAMES ; i++)
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    {
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        vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_running_avg[i]);
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    }
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    vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_mc_running_avg);
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}
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void vp8_denoiser_denoise_mb(VP8_DENOISER *denoiser,
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                             MACROBLOCK *x,
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                             unsigned int best_sse,
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                             unsigned int zero_mv_sse,
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                             int recon_yoffset,
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                             int recon_uvoffset)
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{
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    int mv_row;
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    int mv_col;
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    unsigned int motion_magnitude2;
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    unsigned int sse_thresh;
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    MV_REFERENCE_FRAME frame = x->best_reference_frame;
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    MV_REFERENCE_FRAME zero_frame = x->best_zeromv_reference_frame;
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    enum vp8_denoiser_decision decision = FILTER_BLOCK;
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    if (zero_frame)
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    {
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        YV12_BUFFER_CONFIG *src = &denoiser->yv12_running_avg[frame];
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        YV12_BUFFER_CONFIG *dst = &denoiser->yv12_mc_running_avg;
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        YV12_BUFFER_CONFIG saved_pre,saved_dst;
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        MB_MODE_INFO saved_mbmi;
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        MACROBLOCKD *filter_xd = &x->e_mbd;
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        MB_MODE_INFO *mbmi = &filter_xd->mode_info_context->mbmi;
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        int sse_diff = zero_mv_sse - best_sse;
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        saved_mbmi = *mbmi;
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        /* Use the best MV for the compensation. */
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        mbmi->ref_frame = x->best_reference_frame;
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        mbmi->mode = x->best_sse_inter_mode;
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        mbmi->mv = x->best_sse_mv;
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        mbmi->need_to_clamp_mvs = x->need_to_clamp_best_mvs;
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        mv_col = x->best_sse_mv.as_mv.col;
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        mv_row = x->best_sse_mv.as_mv.row;
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        if (frame == INTRA_FRAME ||
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            ((unsigned int)(mv_row *mv_row + mv_col *mv_col)
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              <= NOISE_MOTION_THRESHOLD &&
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             sse_diff < (int)SSE_DIFF_THRESHOLD))
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        {
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            /*
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             * Handle intra blocks as referring to last frame with zero motion
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             * and let the absolute pixel difference affect the filter factor.
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             * Also consider small amount of motion as being random walk due
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             * to noise, if it doesn't mean that we get a much bigger error.
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             * Note that any changes to the mode info only affects the
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             * denoising.
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             */
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            mbmi->ref_frame =
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                    x->best_zeromv_reference_frame;
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            src = &denoiser->yv12_running_avg[zero_frame];
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            mbmi->mode = ZEROMV;
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            mbmi->mv.as_int = 0;
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            x->best_sse_inter_mode = ZEROMV;
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            x->best_sse_mv.as_int = 0;
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            best_sse = zero_mv_sse;
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        }
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        saved_pre = filter_xd->pre;
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        saved_dst = filter_xd->dst;
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        /* Compensate the running average. */
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        filter_xd->pre.y_buffer = src->y_buffer + recon_yoffset;
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        filter_xd->pre.u_buffer = src->u_buffer + recon_uvoffset;
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        filter_xd->pre.v_buffer = src->v_buffer + recon_uvoffset;
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        /* Write the compensated running average to the destination buffer. */
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        filter_xd->dst.y_buffer = dst->y_buffer + recon_yoffset;
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        filter_xd->dst.u_buffer = dst->u_buffer + recon_uvoffset;
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        filter_xd->dst.v_buffer = dst->v_buffer + recon_uvoffset;
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        if (!x->skip)
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        {
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            vp8_build_inter_predictors_mb(filter_xd);
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        }
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        else
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        {
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            vp8_build_inter16x16_predictors_mb(filter_xd,
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                                               filter_xd->dst.y_buffer,
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                                               filter_xd->dst.u_buffer,
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                                               filter_xd->dst.v_buffer,
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                                               filter_xd->dst.y_stride,
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                                               filter_xd->dst.uv_stride);
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        }
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        filter_xd->pre = saved_pre;
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        filter_xd->dst = saved_dst;
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        *mbmi = saved_mbmi;
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    }
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    mv_row = x->best_sse_mv.as_mv.row;
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    mv_col = x->best_sse_mv.as_mv.col;
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    motion_magnitude2 = mv_row * mv_row + mv_col * mv_col;
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    sse_thresh = SSE_THRESHOLD;
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    if (x->increase_denoising) sse_thresh = SSE_THRESHOLD_HIGH;
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    if (best_sse > sse_thresh || motion_magnitude2
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           > 8 * NOISE_MOTION_THRESHOLD)
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    {
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        decision = COPY_BLOCK;
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    }
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    if (decision == FILTER_BLOCK)
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    {
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        unsigned char *mc_running_avg_y =
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            denoiser->yv12_mc_running_avg.y_buffer + recon_yoffset;
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        int mc_avg_y_stride = denoiser->yv12_mc_running_avg.y_stride;
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        unsigned char *running_avg_y =
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            denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset;
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        int avg_y_stride = denoiser->yv12_running_avg[INTRA_FRAME].y_stride;
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        /* Filter. */
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        decision = vp8_denoiser_filter(mc_running_avg_y, mc_avg_y_stride,
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                                         running_avg_y, avg_y_stride,
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                                         x->thismb, 16, motion_magnitude2,
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                                         x->increase_denoising);
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    }
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    if (decision == COPY_BLOCK)
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    {
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        /* No filtering of this block; it differs too much from the predictor,
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         * or the motion vector magnitude is considered too big.
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         */
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        vp8_copy_mem16x16(
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                x->thismb, 16,
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                denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
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                denoiser->yv12_running_avg[INTRA_FRAME].y_stride);
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    }
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}
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