475 lines
21 KiB
C
475 lines
21 KiB
C
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/*
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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 = _mm_srai_epi16(
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_mm_unpacklo_epi8(acc_diff, acc_diff), 8);
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const __m128i acc_diff_hi = _mm_srai_epi16(
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_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 = _mm_add_epi32(hg_fe_dc_ba,
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_mm_srli_si128(hg_fe_dc_ba, 8));
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const __m128i hgfedcba = _mm_add_epi32(hgfe_dcba,
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_mm_srli_si128(hgfe_dcba, 4));
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int sum_diff = _mm_cvtsi128_si32(hgfedcba);
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return sum_diff;
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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((__m128i *)(&sig[0]));
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const __m128i v_mc_running_avg_y = _mm_loadu_si128(
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(__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 = _mm_min_epu8(
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_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(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_delta,
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__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((__m128i *)(&sig[0]));
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const __m128i v_mc_running_avg_y =
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_mm_loadu_si128((__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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static int vp9_denoiser_4xM_sse2(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, int avg_y_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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int sum_diff_thresh;
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int r;
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int shift_inc = (increase_denoising &&
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motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ? 1 : 0;
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unsigned char sig_buffer[2][16], mc_running_buffer[2][16],
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running_buffer[2][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) ?
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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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int sum_diff = 0;
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for (r = 0; r < ((4 << b_height_log2_lookup[bs]) >> 2); ++r) {
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vpx_memcpy(sig_buffer[r], sig, 4);
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vpx_memcpy(sig_buffer[r] + 4, sig + sig_stride, 4);
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vpx_memcpy(sig_buffer[r] + 8, sig + sig_stride * 2, 4);
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vpx_memcpy(sig_buffer[r] + 12, sig + sig_stride * 3, 4);
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vpx_memcpy(mc_running_buffer[r], mc_running_avg_y, 4);
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vpx_memcpy(mc_running_buffer[r] + 4, mc_running_avg_y +
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mc_avg_y_stride, 4);
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vpx_memcpy(mc_running_buffer[r] + 8, mc_running_avg_y +
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mc_avg_y_stride * 2, 4);
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vpx_memcpy(mc_running_buffer[r] + 12, mc_running_avg_y +
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mc_avg_y_stride * 3, 4);
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vpx_memcpy(running_buffer[r], running_avg_y, 4);
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vpx_memcpy(running_buffer[r] + 4, running_avg_y +
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avg_y_stride, 4);
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vpx_memcpy(running_buffer[r] + 8, running_avg_y +
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avg_y_stride * 2, 4);
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vpx_memcpy(running_buffer[r] + 12, running_avg_y +
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avg_y_stride * 3, 4);
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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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vpx_memcpy(running_avg_y, running_buffer[r], 4);
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vpx_memcpy(running_avg_y + avg_y_stride, running_buffer[r] + 4, 4);
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vpx_memcpy(running_avg_y + avg_y_stride * 2,
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running_buffer[r] + 8, 4);
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vpx_memcpy(running_avg_y + avg_y_stride * 3,
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running_buffer[r] + 12, 4);
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// Update pointers for next iteration.
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sig += (sig_stride << 2);
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mc_running_avg_y += (mc_avg_y_stride << 2);
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running_avg_y += (avg_y_stride << 2);
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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 accceptable 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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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 * (4 << b_height_log2_lookup[bs]);
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sum_diff = 0;
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for (r = 0; r < ((4 << b_height_log2_lookup[bs]) >> 2); ++r) {
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acc_diff = vp9_denoiser_adj_16x1_sse2(
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sig_buffer[r], mc_running_buffer[r],
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running_buffer[r], k_0, k_delta,
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acc_diff);
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vpx_memcpy(running_avg_y, running_buffer[r], 4);
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vpx_memcpy(running_avg_y + avg_y_stride, running_buffer[r] + 4, 4);
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vpx_memcpy(running_avg_y + avg_y_stride * 2,
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running_buffer[r] + 8, 4);
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vpx_memcpy(running_avg_y + avg_y_stride * 3,
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running_buffer[r] + 12, 4);
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// Update pointers for next iteration.
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running_avg_y += (avg_y_stride << 2);
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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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static int vp9_denoiser_8xM_sse2(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, int avg_y_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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int sum_diff_thresh;
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int r;
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int shift_inc = (increase_denoising &&
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motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ? 1 : 0;
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unsigned char sig_buffer[8][16], mc_running_buffer[8][16],
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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) ?
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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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int sum_diff = 0;
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for (r = 0; r < ((4 << b_height_log2_lookup[bs]) >> 1); ++r) {
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vpx_memcpy(sig_buffer[r], sig, 8);
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vpx_memcpy(sig_buffer[r] + 8, sig + sig_stride, 8);
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vpx_memcpy(mc_running_buffer[r], mc_running_avg_y, 8);
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vpx_memcpy(mc_running_buffer[r] + 8, mc_running_avg_y +
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mc_avg_y_stride, 8);
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vpx_memcpy(running_buffer[r], running_avg_y, 8);
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vpx_memcpy(running_buffer[r] + 8, running_avg_y +
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avg_y_stride, 8);
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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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vpx_memcpy(running_avg_y, running_buffer[r], 8);
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vpx_memcpy(running_avg_y + avg_y_stride, running_buffer[r] + 8, 8);
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// Update pointers for next iteration.
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sig += (sig_stride << 1);
|
||
|
|
mc_running_avg_y += (mc_avg_y_stride << 1);
|
||
|
|
running_avg_y += (avg_y_stride << 1);
|
||
|
|
}
|
||
|
|
|
||
|
|
{
|
||
|
|
sum_diff = sum_diff_16x1(acc_diff);
|
||
|
|
sum_diff_thresh = total_adj_strong_thresh(bs, increase_denoising);
|
||
|
|
if (abs(sum_diff) > sum_diff_thresh) {
|
||
|
|
// Before returning to copy the block (i.e., apply no denoising),
|
||
|
|
// checK if we can still apply some (weaker) temporal filtering to
|
||
|
|
// this block, that would otherwise not be denoised at all. Simplest
|
||
|
|
// is to apply an additional adjustment to running_avg_y to bring it
|
||
|
|
// closer to sig. The adjustment is capped by a maximum delta, and
|
||
|
|
// chosen such that in most cases the resulting sum_diff will be
|
||
|
|
// within the accceptable range given by sum_diff_thresh.
|
||
|
|
|
||
|
|
// The delta is set by the excess of absolute pixel diff over the
|
||
|
|
// threshold.
|
||
|
|
int delta = ((abs(sum_diff) - sum_diff_thresh)
|
||
|
|
>> num_pels_log2_lookup[bs]) + 1;
|
||
|
|
// Only apply the adjustment for max delta up to 3.
|
||
|
|
if (delta < 4) {
|
||
|
|
const __m128i k_delta = _mm_set1_epi8(delta);
|
||
|
|
running_avg_y -= avg_y_stride * (4 << b_height_log2_lookup[bs]);
|
||
|
|
for (r = 0; r < ((4 << b_height_log2_lookup[bs]) >> 1); ++r) {
|
||
|
|
acc_diff = vp9_denoiser_adj_16x1_sse2(
|
||
|
|
sig_buffer[r], mc_running_buffer[r],
|
||
|
|
running_buffer[r], k_0, k_delta,
|
||
|
|
acc_diff);
|
||
|
|
vpx_memcpy(running_avg_y, running_buffer[r], 8);
|
||
|
|
vpx_memcpy(running_avg_y + avg_y_stride, running_buffer[r] + 8, 8);
|
||
|
|
// Update pointers for next iteration.
|
||
|
|
running_avg_y += (avg_y_stride << 1);
|
||
|
|
}
|
||
|
|
sum_diff = sum_diff_16x1(acc_diff);
|
||
|
|
if (abs(sum_diff) > sum_diff_thresh) {
|
||
|
|
return COPY_BLOCK;
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
return COPY_BLOCK;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return FILTER_BLOCK;
|
||
|
|
}
|
||
|
|
|
||
|
|
static int vp9_denoiser_64_32_16xM_sse2(const uint8_t *sig, int sig_stride,
|
||
|
|
const uint8_t *mc_running_avg_y,
|
||
|
|
int mc_avg_y_stride,
|
||
|
|
uint8_t *running_avg_y,
|
||
|
|
int avg_y_stride,
|
||
|
|
int increase_denoising, BLOCK_SIZE bs,
|
||
|
|
int motion_magnitude) {
|
||
|
|
int sum_diff_thresh;
|
||
|
|
int r, c;
|
||
|
|
int shift_inc = (increase_denoising &&
|
||
|
|
motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ? 1 : 0;
|
||
|
|
__m128i acc_diff[4][4];
|
||
|
|
const __m128i k_0 = _mm_setzero_si128();
|
||
|
|
const __m128i k_4 = _mm_set1_epi8(4 + shift_inc);
|
||
|
|
const __m128i k_8 = _mm_set1_epi8(8);
|
||
|
|
const __m128i k_16 = _mm_set1_epi8(16);
|
||
|
|
// Modify each level's adjustment according to motion_magnitude.
|
||
|
|
const __m128i l3 = _mm_set1_epi8(
|
||
|
|
(motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ?
|
||
|
|
7 + shift_inc : 6);
|
||
|
|
// Difference between level 3 and level 2 is 2.
|
||
|
|
const __m128i l32 = _mm_set1_epi8(2);
|
||
|
|
// Difference between level 2 and level 1 is 1.
|
||
|
|
const __m128i l21 = _mm_set1_epi8(1);
|
||
|
|
int sum_diff = 0;
|
||
|
|
|
||
|
|
for (int i = 0; i < 4; i++) {
|
||
|
|
for (int j = 0; j < 4; j++) {
|
||
|
|
acc_diff[i][j] = _mm_setzero_si128();
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
for (r = 0; r < (4 << b_height_log2_lookup[bs]); r++) {
|
||
|
|
for (c = 0; c < (4 << b_width_log2_lookup[bs]); c += 16) {
|
||
|
|
acc_diff[c>>4][r>>4] = vp9_denoiser_16x1_sse2(
|
||
|
|
sig, mc_running_avg_y,
|
||
|
|
running_avg_y,
|
||
|
|
k_0, k_4, k_8, k_16,
|
||
|
|
l3, l32, l21, acc_diff[c>>4][r>>4]);
|
||
|
|
// Update pointers for next iteration.
|
||
|
|
sig += 16;
|
||
|
|
mc_running_avg_y += 16;
|
||
|
|
running_avg_y += 16;
|
||
|
|
}
|
||
|
|
|
||
|
|
if ((r + 1) % 16 == 0 || (bs == BLOCK_16X8 && r == 7)) {
|
||
|
|
for (c = 0; c < (4 << b_width_log2_lookup[bs]); c += 16) {
|
||
|
|
sum_diff += sum_diff_16x1(acc_diff[c>>4][r>>4]);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
// Update pointers for next iteration.
|
||
|
|
sig = sig - 16 * ((4 << b_width_log2_lookup[bs]) >> 4) + sig_stride;
|
||
|
|
mc_running_avg_y = mc_running_avg_y -
|
||
|
|
16 * ((4 << b_width_log2_lookup[bs]) >> 4) +
|
||
|
|
mc_avg_y_stride;
|
||
|
|
running_avg_y = running_avg_y -
|
||
|
|
16 * ((4 << b_width_log2_lookup[bs]) >> 4) +
|
||
|
|
avg_y_stride;
|
||
|
|
}
|
||
|
|
|
||
|
|
{
|
||
|
|
sum_diff_thresh = total_adj_strong_thresh(bs, increase_denoising);
|
||
|
|
if (abs(sum_diff) > sum_diff_thresh) {
|
||
|
|
int delta = ((abs(sum_diff) - sum_diff_thresh)
|
||
|
|
>> num_pels_log2_lookup[bs]) + 1;
|
||
|
|
|
||
|
|
// Only apply the adjustment for max delta up to 3.
|
||
|
|
if (delta < 4) {
|
||
|
|
const __m128i k_delta = _mm_set1_epi8(delta);
|
||
|
|
sig -= sig_stride * (4 << b_height_log2_lookup[bs]);
|
||
|
|
mc_running_avg_y -= mc_avg_y_stride * (4 << b_height_log2_lookup[bs]);
|
||
|
|
running_avg_y -= avg_y_stride * (4 << b_height_log2_lookup[bs]);
|
||
|
|
sum_diff = 0;
|
||
|
|
for (r = 0; r < (4 << b_height_log2_lookup[bs]); ++r) {
|
||
|
|
for (c = 0; c < (4 << b_width_log2_lookup[bs]); c += 16) {
|
||
|
|
acc_diff[c>>4][r>>4] = vp9_denoiser_adj_16x1_sse2(
|
||
|
|
sig, mc_running_avg_y,
|
||
|
|
running_avg_y, k_0,
|
||
|
|
k_delta, acc_diff[c>>4][r>>4]);
|
||
|
|
// Update pointers for next iteration.
|
||
|
|
sig += 16;
|
||
|
|
mc_running_avg_y += 16;
|
||
|
|
running_avg_y += 16;
|
||
|
|
}
|
||
|
|
|
||
|
|
if ((r + 1) % 16 == 0 || (bs == BLOCK_16X8 && r == 7)) {
|
||
|
|
for (c = 0; c < (4 << b_width_log2_lookup[bs]); c += 16) {
|
||
|
|
sum_diff += sum_diff_16x1(acc_diff[c>>4][r>>4]);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
sig = sig - 16 * ((4 << b_width_log2_lookup[bs]) >> 4) + sig_stride;
|
||
|
|
mc_running_avg_y = mc_running_avg_y -
|
||
|
|
16 * ((4 << b_width_log2_lookup[bs]) >> 4) +
|
||
|
|
mc_avg_y_stride;
|
||
|
|
running_avg_y = running_avg_y -
|
||
|
|
16 * ((4 << b_width_log2_lookup[bs]) >> 4) +
|
||
|
|
avg_y_stride;
|
||
|
|
}
|
||
|
|
if (abs(sum_diff) > sum_diff_thresh) {
|
||
|
|
return COPY_BLOCK;
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
return COPY_BLOCK;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return FILTER_BLOCK;
|
||
|
|
}
|
||
|
|
|
||
|
|
int vp9_denoiser_filter_sse2(const uint8_t *sig, int sig_stride,
|
||
|
|
const uint8_t *mc_avg,
|
||
|
|
int mc_avg_stride,
|
||
|
|
uint8_t *avg, int avg_stride,
|
||
|
|
int increase_denoising,
|
||
|
|
BLOCK_SIZE bs,
|
||
|
|
int motion_magnitude) {
|
||
|
|
if (bs == BLOCK_4X4 || bs == BLOCK_4X8) {
|
||
|
|
return vp9_denoiser_4xM_sse2(sig, sig_stride,
|
||
|
|
mc_avg, mc_avg_stride,
|
||
|
|
avg, avg_stride,
|
||
|
|
increase_denoising,
|
||
|
|
bs, motion_magnitude);
|
||
|
|
} else if (bs == BLOCK_8X4 || bs == BLOCK_8X8 || bs == BLOCK_8X16) {
|
||
|
|
return vp9_denoiser_8xM_sse2(sig, sig_stride,
|
||
|
|
mc_avg, mc_avg_stride,
|
||
|
|
avg, avg_stride,
|
||
|
|
increase_denoising,
|
||
|
|
bs, motion_magnitude);
|
||
|
|
} else if (bs == BLOCK_16X8 || bs == BLOCK_16X16 || bs == BLOCK_16X32 ||
|
||
|
|
bs == BLOCK_32X16|| bs == BLOCK_32X32 || bs == BLOCK_32X64 ||
|
||
|
|
bs == BLOCK_64X32 || bs == BLOCK_64X64) {
|
||
|
|
return vp9_denoiser_64_32_16xM_sse2(sig, sig_stride,
|
||
|
|
mc_avg, mc_avg_stride,
|
||
|
|
avg, avg_stride,
|
||
|
|
increase_denoising,
|
||
|
|
bs, motion_magnitude);
|
||
|
|
} else {
|
||
|
|
return COPY_BLOCK;
|
||
|
|
}
|
||
|
|
}
|