b29612fbbe
Denoiser is ~1.5% faster in speed 6~8. Change-Id: I7b350f3c50cce6773d9c4eded4c0c1b722d0a5fc
342 lines
14 KiB
C
342 lines
14 KiB
C
/*
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* Copyright (c) 2014 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 <emmintrin.h>
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#include "./vpx_config.h"
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#include "./vp9_rtcd.h"
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#include "vpx_ports/emmintrin_compat.h"
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#include "vpx/vpx_integer.h"
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#include "vp9/common/vp9_reconinter.h"
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#include "vp9/encoder/vp9_context_tree.h"
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#include "vp9/encoder/vp9_denoiser.h"
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#include "vpx_mem/vpx_mem.h"
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// Compute the sum of all pixel differences of this MB.
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static INLINE int sum_diff_16x1(__m128i acc_diff) {
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const __m128i k_1 = _mm_set1_epi16(1);
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const __m128i acc_diff_lo =
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_mm_srai_epi16(_mm_unpacklo_epi8(acc_diff, acc_diff), 8);
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const __m128i acc_diff_hi =
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_mm_srai_epi16(_mm_unpackhi_epi8(acc_diff, acc_diff), 8);
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const __m128i acc_diff_16 = _mm_add_epi16(acc_diff_lo, acc_diff_hi);
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const __m128i hg_fe_dc_ba = _mm_madd_epi16(acc_diff_16, k_1);
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const __m128i hgfe_dcba =
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_mm_add_epi32(hg_fe_dc_ba, _mm_srli_si128(hg_fe_dc_ba, 8));
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const __m128i hgfedcba =
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_mm_add_epi32(hgfe_dcba, _mm_srli_si128(hgfe_dcba, 4));
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return _mm_cvtsi128_si32(hgfedcba);
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}
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// Denoise a 16x1 vector.
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static INLINE __m128i vp9_denoiser_16x1_sse2(const uint8_t *sig,
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const uint8_t *mc_running_avg_y,
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uint8_t *running_avg_y,
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const __m128i *k_0,
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const __m128i *k_4,
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const __m128i *k_8,
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const __m128i *k_16,
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const __m128i *l3,
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const __m128i *l32,
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const __m128i *l21,
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__m128i acc_diff) {
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// Calculate differences
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const __m128i v_sig = _mm_loadu_si128((const __m128i *)(&sig[0]));
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const __m128i v_mc_running_avg_y =
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_mm_loadu_si128((const __m128i *)(&mc_running_avg_y[0]));
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__m128i v_running_avg_y;
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const __m128i pdiff = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
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const __m128i ndiff = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
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// Obtain the sign. FF if diff is negative.
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const __m128i diff_sign = _mm_cmpeq_epi8(pdiff, *k_0);
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// Clamp absolute difference to 16 to be used to get mask. Doing this
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// allows us to use _mm_cmpgt_epi8, which operates on signed byte.
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const __m128i clamped_absdiff =
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_mm_min_epu8(_mm_or_si128(pdiff, ndiff), *k_16);
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// Get masks for l2 l1 and l0 adjustments.
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const __m128i mask2 = _mm_cmpgt_epi8(*k_16, clamped_absdiff);
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const __m128i mask1 = _mm_cmpgt_epi8(*k_8, clamped_absdiff);
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const __m128i mask0 = _mm_cmpgt_epi8(*k_4, clamped_absdiff);
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// Get adjustments for l2, l1, and l0.
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__m128i adj2 = _mm_and_si128(mask2, *l32);
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const __m128i adj1 = _mm_and_si128(mask1, *l21);
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const __m128i adj0 = _mm_and_si128(mask0, clamped_absdiff);
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__m128i adj, padj, nadj;
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// Combine the adjustments and get absolute adjustments.
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adj2 = _mm_add_epi8(adj2, adj1);
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adj = _mm_sub_epi8(*l3, adj2);
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adj = _mm_andnot_si128(mask0, adj);
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adj = _mm_or_si128(adj, adj0);
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// Restore the sign and get positive and negative adjustments.
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padj = _mm_andnot_si128(diff_sign, adj);
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nadj = _mm_and_si128(diff_sign, adj);
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// Calculate filtered value.
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v_running_avg_y = _mm_adds_epu8(v_sig, padj);
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v_running_avg_y = _mm_subs_epu8(v_running_avg_y, nadj);
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_mm_storeu_si128((__m128i *)running_avg_y, v_running_avg_y);
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// Adjustments <=7, and each element in acc_diff can fit in signed
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// char.
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acc_diff = _mm_adds_epi8(acc_diff, padj);
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acc_diff = _mm_subs_epi8(acc_diff, nadj);
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return acc_diff;
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}
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// Denoise a 16x1 vector with a weaker filter.
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static INLINE __m128i vp9_denoiser_adj_16x1_sse2(
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const uint8_t *sig, const uint8_t *mc_running_avg_y,
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uint8_t *running_avg_y, const __m128i k_0,
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const __m128i k_delta, __m128i acc_diff) {
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__m128i v_running_avg_y = _mm_loadu_si128((__m128i *)(&running_avg_y[0]));
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// Calculate differences.
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const __m128i v_sig = _mm_loadu_si128((const __m128i *)(&sig[0]));
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const __m128i v_mc_running_avg_y =
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_mm_loadu_si128((const __m128i *)(&mc_running_avg_y[0]));
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const __m128i pdiff = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
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const __m128i ndiff = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
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// Obtain the sign. FF if diff is negative.
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const __m128i diff_sign = _mm_cmpeq_epi8(pdiff, k_0);
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// Clamp absolute difference to delta to get the adjustment.
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const __m128i adj =
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_mm_min_epu8(_mm_or_si128(pdiff, ndiff), k_delta);
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// Restore the sign and get positive and negative adjustments.
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__m128i padj, nadj;
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padj = _mm_andnot_si128(diff_sign, adj);
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nadj = _mm_and_si128(diff_sign, adj);
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// Calculate filtered value.
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v_running_avg_y = _mm_subs_epu8(v_running_avg_y, padj);
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v_running_avg_y = _mm_adds_epu8(v_running_avg_y, nadj);
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_mm_storeu_si128((__m128i *)running_avg_y, v_running_avg_y);
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// Accumulate the adjustments.
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acc_diff = _mm_subs_epi8(acc_diff, padj);
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acc_diff = _mm_adds_epi8(acc_diff, nadj);
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return acc_diff;
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}
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// Denoise 8x8 and 8x16 blocks.
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static int vp9_denoiser_NxM_sse2_small(
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const uint8_t *sig, int sig_stride, const uint8_t *mc_running_avg_y,
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int mc_avg_y_stride, uint8_t *running_avg_y, int avg_y_stride,
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int increase_denoising, BLOCK_SIZE bs, int motion_magnitude, int width) {
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int sum_diff_thresh, r, sum_diff = 0;
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const int shift_inc = (increase_denoising &&
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motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ?
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1 : 0;
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uint8_t sig_buffer[8][16], mc_running_buffer[8][16], running_buffer[8][16];
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__m128i acc_diff = _mm_setzero_si128();
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const __m128i k_0 = _mm_setzero_si128();
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const __m128i k_4 = _mm_set1_epi8(4 + shift_inc);
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const __m128i k_8 = _mm_set1_epi8(8);
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const __m128i k_16 = _mm_set1_epi8(16);
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// Modify each level's adjustment according to motion_magnitude.
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const __m128i l3 = _mm_set1_epi8(
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(motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ? 7 + shift_inc : 6);
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// Difference between level 3 and level 2 is 2.
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const __m128i l32 = _mm_set1_epi8(2);
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// Difference between level 2 and level 1 is 1.
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const __m128i l21 = _mm_set1_epi8(1);
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const int b_height = (4 << b_height_log2_lookup[bs]) >> 1;
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for (r = 0; r < b_height; ++r) {
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memcpy(sig_buffer[r], sig, width);
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memcpy(sig_buffer[r] + width, sig + sig_stride, width);
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memcpy(mc_running_buffer[r], mc_running_avg_y, width);
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memcpy(mc_running_buffer[r] + width,
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mc_running_avg_y + mc_avg_y_stride, width);
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memcpy(running_buffer[r], running_avg_y, width);
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memcpy(running_buffer[r] + width, running_avg_y + avg_y_stride, width);
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acc_diff = vp9_denoiser_16x1_sse2(sig_buffer[r],
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mc_running_buffer[r],
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running_buffer[r],
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&k_0, &k_4, &k_8, &k_16,
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&l3, &l32, &l21, acc_diff);
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memcpy(running_avg_y, running_buffer[r], width);
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memcpy(running_avg_y + avg_y_stride, running_buffer[r] + width, width);
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// Update pointers for next iteration.
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sig += (sig_stride << 1);
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mc_running_avg_y += (mc_avg_y_stride << 1);
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running_avg_y += (avg_y_stride << 1);
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}
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{
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sum_diff = sum_diff_16x1(acc_diff);
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sum_diff_thresh = total_adj_strong_thresh(bs, increase_denoising);
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if (abs(sum_diff) > sum_diff_thresh) {
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// Before returning to copy the block (i.e., apply no denoising),
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// check if we can still apply some (weaker) temporal filtering to
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// this block, that would otherwise not be denoised at all. Simplest
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// is to apply an additional adjustment to running_avg_y to bring it
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// closer to sig. The adjustment is capped by a maximum delta, and
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// chosen such that in most cases the resulting sum_diff will be
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// within the acceptable range given by sum_diff_thresh.
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// The delta is set by the excess of absolute pixel diff over the
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// threshold.
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const int delta = ((abs(sum_diff) - sum_diff_thresh) >>
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num_pels_log2_lookup[bs]) + 1;
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// Only apply the adjustment for max delta up to 3.
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if (delta < 4) {
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const __m128i k_delta = _mm_set1_epi8(delta);
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running_avg_y -= avg_y_stride * (b_height << 1);
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for (r = 0; r < b_height; ++r) {
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acc_diff = vp9_denoiser_adj_16x1_sse2(
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sig_buffer[r], mc_running_buffer[r], running_buffer[r],
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k_0, k_delta, acc_diff);
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memcpy(running_avg_y, running_buffer[r], width);
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memcpy(running_avg_y + avg_y_stride,
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running_buffer[r] + width, width);
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// Update pointers for next iteration.
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running_avg_y += (avg_y_stride << 1);
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}
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sum_diff = sum_diff_16x1(acc_diff);
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if (abs(sum_diff) > sum_diff_thresh) {
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return COPY_BLOCK;
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}
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} else {
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return COPY_BLOCK;
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}
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}
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}
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return FILTER_BLOCK;
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}
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// Denoise 16x16, 16x32, 32x16, 32x32, 32x64, 64x32 and 64x64 blocks.
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static int vp9_denoiser_NxM_sse2_big(const uint8_t *sig, int sig_stride,
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const uint8_t *mc_running_avg_y,
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int mc_avg_y_stride,
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uint8_t *running_avg_y,
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int avg_y_stride,
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int increase_denoising, BLOCK_SIZE bs,
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int motion_magnitude) {
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int sum_diff_thresh, r, c, sum_diff = 0;
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const int shift_inc = (increase_denoising &&
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motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ?
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1 : 0;
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__m128i acc_diff[4][4];
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const __m128i k_0 = _mm_setzero_si128();
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const __m128i k_4 = _mm_set1_epi8(4 + shift_inc);
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const __m128i k_8 = _mm_set1_epi8(8);
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const __m128i k_16 = _mm_set1_epi8(16);
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// Modify each level's adjustment according to motion_magnitude.
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const __m128i l3 = _mm_set1_epi8(
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(motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ? 7 + shift_inc : 6);
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// Difference between level 3 and level 2 is 2.
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const __m128i l32 = _mm_set1_epi8(2);
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// Difference between level 2 and level 1 is 1.
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const __m128i l21 = _mm_set1_epi8(1);
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const int b_width = (4 << b_width_log2_lookup[bs]);
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const int b_height = (4 << b_height_log2_lookup[bs]);
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const int b_width_shift4 = b_width >> 4;
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for (r = 0; r < 4; ++r) {
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for (c = 0; c < b_width_shift4; ++c) {
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acc_diff[c][r] = _mm_setzero_si128();
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}
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}
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for (r = 0; r < b_height; ++r) {
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for (c = 0; c < b_width_shift4; ++c) {
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acc_diff[c][r>>4] = vp9_denoiser_16x1_sse2(
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sig, mc_running_avg_y, running_avg_y, &k_0, &k_4,
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&k_8, &k_16, &l3, &l32, &l21, acc_diff[c][r>>4]);
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// Update pointers for next iteration.
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sig += 16;
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mc_running_avg_y += 16;
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running_avg_y += 16;
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}
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if ((r & 0xf) == 0xf || (bs == BLOCK_16X8 && r == 7)) {
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for (c = 0; c < b_width_shift4; ++c) {
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sum_diff += sum_diff_16x1(acc_diff[c][r>>4]);
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}
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}
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// Update pointers for next iteration.
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sig = sig - b_width + sig_stride;
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mc_running_avg_y = mc_running_avg_y - b_width + mc_avg_y_stride;
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running_avg_y = running_avg_y - b_width + avg_y_stride;
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}
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{
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sum_diff_thresh = total_adj_strong_thresh(bs, increase_denoising);
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if (abs(sum_diff) > sum_diff_thresh) {
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const int delta = ((abs(sum_diff) - sum_diff_thresh) >>
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num_pels_log2_lookup[bs]) + 1;
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// Only apply the adjustment for max delta up to 3.
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if (delta < 4) {
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const __m128i k_delta = _mm_set1_epi8(delta);
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sig -= sig_stride * b_height;
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mc_running_avg_y -= mc_avg_y_stride * b_height;
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running_avg_y -= avg_y_stride * b_height;
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sum_diff = 0;
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for (r = 0; r < b_height; ++r) {
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for (c = 0; c < b_width_shift4; ++c) {
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acc_diff[c][r>>4] = vp9_denoiser_adj_16x1_sse2(
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sig, mc_running_avg_y, running_avg_y, k_0,
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k_delta, acc_diff[c][r>>4]);
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// Update pointers for next iteration.
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sig += 16;
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mc_running_avg_y += 16;
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running_avg_y += 16;
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}
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if ((r & 0xf) == 0xf || (bs == BLOCK_16X8 && r == 7)) {
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for (c = 0; c < b_width_shift4; ++c) {
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sum_diff += sum_diff_16x1(acc_diff[c][r>>4]);
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}
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}
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sig = sig - b_width + sig_stride;
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mc_running_avg_y = mc_running_avg_y - b_width + mc_avg_y_stride;
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running_avg_y = running_avg_y - b_width + avg_y_stride;
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}
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if (abs(sum_diff) > sum_diff_thresh) {
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return COPY_BLOCK;
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}
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} else {
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return COPY_BLOCK;
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}
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}
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}
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return FILTER_BLOCK;
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}
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int vp9_denoiser_filter_sse2(const uint8_t *sig, int sig_stride,
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const uint8_t *mc_avg,
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int mc_avg_stride,
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uint8_t *avg, int avg_stride,
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int increase_denoising,
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BLOCK_SIZE bs,
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int motion_magnitude) {
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// Rank by frequency of the block type to have an early termination.
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if (bs == BLOCK_16X16 || bs == BLOCK_32X32 || bs == BLOCK_64X64 ||
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bs == BLOCK_16X32 || bs == BLOCK_16X8 || bs == BLOCK_32X16 ||
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bs == BLOCK_32X64 || bs == BLOCK_64X32) {
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return vp9_denoiser_NxM_sse2_big(sig, sig_stride,
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mc_avg, mc_avg_stride,
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avg, avg_stride,
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increase_denoising,
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bs, motion_magnitude);
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} else if (bs == BLOCK_8X8 || bs == BLOCK_8X16) {
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return vp9_denoiser_NxM_sse2_small(sig, sig_stride,
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mc_avg, mc_avg_stride,
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avg, avg_stride,
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increase_denoising,
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bs, motion_magnitude, 8);
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} else {
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return COPY_BLOCK;
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}
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}
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