src/third_party/libvpx/vp10/encoder/x86/denoiser_sse2.c - cobalt - Git at Google

 /*
  *  Copyright (c) 2014 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 <emmintrin.h>

 #include "./vpx_config.h"
 #include "./vp10_rtcd.h"

 #include "vpx_ports/emmintrin_compat.h"
 #include "vpx/vpx_integer.h"
 #include "vp10/common/reconinter.h"
 #include "vp10/encoder/context_tree.h"
 #include "vp10/encoder/denoiser.h"
 #include "vpx_mem/vpx_mem.h"

 // Compute the sum of all pixel differences of this MB.
 static INLINE int sum_diff_16x1(__m128i acc_diff) {
   const __m128i k_1 = _mm_set1_epi16(1);
   const __m128i acc_diff_lo =
       _mm_srai_epi16(_mm_unpacklo_epi8(acc_diff, acc_diff), 8);
   const __m128i acc_diff_hi =
       _mm_srai_epi16(_mm_unpackhi_epi8(acc_diff, acc_diff), 8);
   const __m128i acc_diff_16 = _mm_add_epi16(acc_diff_lo, acc_diff_hi);
   const __m128i hg_fe_dc_ba = _mm_madd_epi16(acc_diff_16, k_1);
   const __m128i hgfe_dcba =
       _mm_add_epi32(hg_fe_dc_ba, _mm_srli_si128(hg_fe_dc_ba, 8));
   const __m128i hgfedcba =
       _mm_add_epi32(hgfe_dcba, _mm_srli_si128(hgfe_dcba, 4));
   return _mm_cvtsi128_si32(hgfedcba);
 }

 // Denoise a 16x1 vector.
 static INLINE __m128i vp10_denoiser_16x1_sse2(const uint8_t *sig,
                                              const uint8_t *mc_running_avg_y,
                                              uint8_t *running_avg_y,
                                              const __m128i *k_0,
                                              const __m128i *k_4,
                                              const __m128i *k_8,
                                              const __m128i *k_16,
                                              const __m128i *l3,
                                              const __m128i *l32,
                                              const __m128i *l21,
                                              __m128i acc_diff) {
   // Calculate differences
   const __m128i v_sig = _mm_loadu_si128((const __m128i *)(&sig[0]));
   const __m128i v_mc_running_avg_y =
       _mm_loadu_si128((const __m128i *)(&mc_running_avg_y[0]));
   __m128i v_running_avg_y;
   const __m128i pdiff = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
   const __m128i ndiff = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
   // Obtain the sign. FF if diff is negative.
   const __m128i diff_sign = _mm_cmpeq_epi8(pdiff, *k_0);
   // Clamp absolute difference to 16 to be used to get mask. Doing this
   // allows us to use _mm_cmpgt_epi8, which operates on signed byte.
   const __m128i clamped_absdiff =
       _mm_min_epu8(_mm_or_si128(pdiff, ndiff), *k_16);
   // Get masks for l2 l1 and l0 adjustments.
   const __m128i mask2 = _mm_cmpgt_epi8(*k_16, clamped_absdiff);
   const __m128i mask1 = _mm_cmpgt_epi8(*k_8, clamped_absdiff);
   const __m128i mask0 = _mm_cmpgt_epi8(*k_4, clamped_absdiff);
   // Get adjustments for l2, l1, and l0.
   __m128i adj2 = _mm_and_si128(mask2, *l32);
   const __m128i adj1 = _mm_and_si128(mask1, *l21);
   const __m128i adj0 = _mm_and_si128(mask0, clamped_absdiff);
   __m128i adj,  padj, nadj;

   // Combine the adjustments and get absolute adjustments.
   adj2 = _mm_add_epi8(adj2, adj1);
   adj = _mm_sub_epi8(*l3, adj2);
   adj = _mm_andnot_si128(mask0, adj);
   adj = _mm_or_si128(adj, adj0);

   // Restore the sign and get positive and negative adjustments.
   padj = _mm_andnot_si128(diff_sign, adj);
   nadj = _mm_and_si128(diff_sign, adj);

   // Calculate filtered value.
   v_running_avg_y = _mm_adds_epu8(v_sig, padj);
   v_running_avg_y = _mm_subs_epu8(v_running_avg_y, nadj);
   _mm_storeu_si128((__m128i *)running_avg_y, v_running_avg_y);

   // Adjustments <=7, and each element in acc_diff can fit in signed
   // char.
   acc_diff = _mm_adds_epi8(acc_diff, padj);
   acc_diff = _mm_subs_epi8(acc_diff, nadj);
   return acc_diff;
 }

 // Denoise a 16x1 vector with a weaker filter.
 static INLINE __m128i vp10_denoiser_adj_16x1_sse2(
     const uint8_t *sig, const uint8_t *mc_running_avg_y,
     uint8_t *running_avg_y, const __m128i k_0,
     const __m128i k_delta, __m128i acc_diff) {
   __m128i v_running_avg_y = _mm_loadu_si128((__m128i *)(&running_avg_y[0]));
   // Calculate differences.
   const __m128i v_sig = _mm_loadu_si128((const __m128i *)(&sig[0]));
   const __m128i v_mc_running_avg_y =
       _mm_loadu_si128((const __m128i *)(&mc_running_avg_y[0]));
   const __m128i pdiff = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
   const __m128i ndiff = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
   // Obtain the sign. FF if diff is negative.
   const __m128i diff_sign = _mm_cmpeq_epi8(pdiff, k_0);
   // Clamp absolute difference to delta to get the adjustment.
   const __m128i adj =
       _mm_min_epu8(_mm_or_si128(pdiff, ndiff), k_delta);
   // Restore the sign and get positive and negative adjustments.
   __m128i padj, nadj;
   padj = _mm_andnot_si128(diff_sign, adj);
   nadj = _mm_and_si128(diff_sign, adj);
   // Calculate filtered value.
   v_running_avg_y = _mm_subs_epu8(v_running_avg_y, padj);
   v_running_avg_y = _mm_adds_epu8(v_running_avg_y, nadj);
   _mm_storeu_si128((__m128i *)running_avg_y, v_running_avg_y);

   // Accumulate the adjustments.
   acc_diff = _mm_subs_epi8(acc_diff, padj);
   acc_diff = _mm_adds_epi8(acc_diff, nadj);
   return acc_diff;
 }

 // Denoiser for 4xM and 8xM blocks.
 static int vp10_denoiser_NxM_sse2_small(
     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 width) {
   int sum_diff_thresh, r, sum_diff = 0;
   const int shift_inc  = (increase_denoising &&
                           motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ?
                          1 : 0;
   uint8_t sig_buffer[8][16], mc_running_buffer[8][16], running_buffer[8][16];
   __m128i acc_diff = _mm_setzero_si128();
   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);
   const uint8_t shift = (width == 4) ? 2 : 1;

   for (r = 0; r < ((4 << b_height_log2_lookup[bs]) >> shift); ++r) {
     memcpy(sig_buffer[r], sig, width);
     memcpy(sig_buffer[r] + width, sig + sig_stride, width);
     memcpy(mc_running_buffer[r], mc_running_avg_y, width);
     memcpy(mc_running_buffer[r] + width,
            mc_running_avg_y + mc_avg_y_stride, width);
     memcpy(running_buffer[r], running_avg_y, width);
     memcpy(running_buffer[r] + width, running_avg_y + avg_y_stride, width);
     if (width == 4) {
       memcpy(sig_buffer[r] + width * 2, sig + sig_stride * 2, width);
       memcpy(sig_buffer[r] + width * 3, sig + sig_stride * 3, width);
       memcpy(mc_running_buffer[r] + width * 2,
              mc_running_avg_y + mc_avg_y_stride * 2, width);
       memcpy(mc_running_buffer[r] + width * 3,
              mc_running_avg_y + mc_avg_y_stride * 3, width);
       memcpy(running_buffer[r] + width * 2,
              running_avg_y + avg_y_stride * 2, width);
       memcpy(running_buffer[r] + width * 3,
              running_avg_y + avg_y_stride * 3, width);
     }
     acc_diff = vp10_denoiser_16x1_sse2(sig_buffer[r],
                                       mc_running_buffer[r],
                                       running_buffer[r],
                                       &k_0, &k_4, &k_8, &k_16,
                                       &l3, &l32, &l21, acc_diff);
     memcpy(running_avg_y, running_buffer[r], width);
     memcpy(running_avg_y + avg_y_stride, running_buffer[r] + width, width);
     if (width == 4) {
       memcpy(running_avg_y + avg_y_stride * 2,
              running_buffer[r] + width * 2, width);
       memcpy(running_avg_y + avg_y_stride * 3,
              running_buffer[r] + width * 3, width);
     }
     // Update pointers for next iteration.
     sig += (sig_stride << shift);
     mc_running_avg_y += (mc_avg_y_stride << shift);
     running_avg_y += (avg_y_stride << shift);
   }

   {
     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 acceptable range given by sum_diff_thresh.

       // The delta is set by the excess of absolute pixel diff over the
       // threshold.
       const 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]) >> shift); ++r) {
           acc_diff = vp10_denoiser_adj_16x1_sse2(
               sig_buffer[r], mc_running_buffer[r], running_buffer[r],
               k_0, k_delta, acc_diff);
           memcpy(running_avg_y, running_buffer[r], width);
           memcpy(running_avg_y + avg_y_stride,
                  running_buffer[r] + width, width);
           if (width == 4) {
             memcpy(running_avg_y + avg_y_stride * 2,
                    running_buffer[r] + width * 2, width);
             memcpy(running_avg_y + avg_y_stride * 3,
                    running_buffer[r] + width * 3, width);
           }
           // Update pointers for next iteration.
           running_avg_y += (avg_y_stride << shift);
         }
         sum_diff = sum_diff_16x1(acc_diff);
         if (abs(sum_diff) > sum_diff_thresh) {
           return COPY_BLOCK;
         }
       } else {
         return COPY_BLOCK;
       }
     }
   }
   return FILTER_BLOCK;
 }

 // Denoiser for 16xM, 32xM and 64xM blocks
 static int vp10_denoiser_NxM_sse2_big(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, r, c, sum_diff = 0;
   const 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);

   for (c = 0; c < 4; ++c) {
     for (r = 0; r < 4; ++r) {
       acc_diff[c][r] = _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] = vp10_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) {
       const 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] = vp10_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 vp10_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 vp10_denoiser_NxM_sse2_small(sig, sig_stride,
                                        mc_avg, mc_avg_stride,
                                        avg, avg_stride,
                                        increase_denoising,
                                        bs, motion_magnitude, 4);
   } else if (bs == BLOCK_8X4 || bs == BLOCK_8X8 || bs == BLOCK_8X16) {
     return vp10_denoiser_NxM_sse2_small(sig, sig_stride,
                                        mc_avg, mc_avg_stride,
                                        avg, avg_stride,
                                        increase_denoising,
                                        bs, motion_magnitude, 8);
   } 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 vp10_denoiser_NxM_sse2_big(sig, sig_stride,
                                      mc_avg, mc_avg_stride,
                                      avg, avg_stride,
                                      increase_denoising,
                                      bs, motion_magnitude);
   } else {
     return COPY_BLOCK;
   }
 }
	/*
	* Copyright (c) 2014 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 <emmintrin.h>

	#include "./vpx_config.h"
	#include "./vp10_rtcd.h"

	#include "vpx_ports/emmintrin_compat.h"
	#include "vpx/vpx_integer.h"
	#include "vp10/common/reconinter.h"
	#include "vp10/encoder/context_tree.h"
	#include "vp10/encoder/denoiser.h"
	#include "vpx_mem/vpx_mem.h"

	// Compute the sum of all pixel differences of this MB.
	static INLINE int sum_diff_16x1(__m128i acc_diff) {
	const __m128i k_1 = _mm_set1_epi16(1);
	const __m128i acc_diff_lo =
	_mm_srai_epi16(_mm_unpacklo_epi8(acc_diff, acc_diff), 8);
	const __m128i acc_diff_hi =
	_mm_srai_epi16(_mm_unpackhi_epi8(acc_diff, acc_diff), 8);
	const __m128i acc_diff_16 = _mm_add_epi16(acc_diff_lo, acc_diff_hi);
	const __m128i hg_fe_dc_ba = _mm_madd_epi16(acc_diff_16, k_1);
	const __m128i hgfe_dcba =
	_mm_add_epi32(hg_fe_dc_ba, _mm_srli_si128(hg_fe_dc_ba, 8));
	const __m128i hgfedcba =
	_mm_add_epi32(hgfe_dcba, _mm_srli_si128(hgfe_dcba, 4));
	return _mm_cvtsi128_si32(hgfedcba);
	}

	// Denoise a 16x1 vector.
	static INLINE __m128i vp10_denoiser_16x1_sse2(const uint8_t *sig,
	const uint8_t *mc_running_avg_y,
	uint8_t *running_avg_y,
	const __m128i *k_0,
	const __m128i *k_4,
	const __m128i *k_8,
	const __m128i *k_16,
	const __m128i *l3,
	const __m128i *l32,
	const __m128i *l21,
	__m128i acc_diff) {
	// Calculate differences
	const __m128i v_sig = _mm_loadu_si128((const __m128i *)(&sig[0]));
	const __m128i v_mc_running_avg_y =
	_mm_loadu_si128((const __m128i *)(&mc_running_avg_y[0]));
	__m128i v_running_avg_y;
	const __m128i pdiff = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
	const __m128i ndiff = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
	// Obtain the sign. FF if diff is negative.
	const __m128i diff_sign = _mm_cmpeq_epi8(pdiff, *k_0);
	// Clamp absolute difference to 16 to be used to get mask. Doing this
	// allows us to use _mm_cmpgt_epi8, which operates on signed byte.
	const __m128i clamped_absdiff =
	_mm_min_epu8(_mm_or_si128(pdiff, ndiff), *k_16);
	// Get masks for l2 l1 and l0 adjustments.
	const __m128i mask2 = _mm_cmpgt_epi8(*k_16, clamped_absdiff);
	const __m128i mask1 = _mm_cmpgt_epi8(*k_8, clamped_absdiff);
	const __m128i mask0 = _mm_cmpgt_epi8(*k_4, clamped_absdiff);
	// Get adjustments for l2, l1, and l0.
	__m128i adj2 = _mm_and_si128(mask2, *l32);
	const __m128i adj1 = _mm_and_si128(mask1, *l21);
	const __m128i adj0 = _mm_and_si128(mask0, clamped_absdiff);
	__m128i adj, padj, nadj;

	// Combine the adjustments and get absolute adjustments.
	adj2 = _mm_add_epi8(adj2, adj1);
	adj = _mm_sub_epi8(*l3, adj2);
	adj = _mm_andnot_si128(mask0, adj);
	adj = _mm_or_si128(adj, adj0);

	// Restore the sign and get positive and negative adjustments.
	padj = _mm_andnot_si128(diff_sign, adj);
	nadj = _mm_and_si128(diff_sign, adj);

	// Calculate filtered value.
	v_running_avg_y = _mm_adds_epu8(v_sig, padj);
	v_running_avg_y = _mm_subs_epu8(v_running_avg_y, nadj);
	_mm_storeu_si128((__m128i *)running_avg_y, v_running_avg_y);

	// Adjustments <=7, and each element in acc_diff can fit in signed
	// char.
	acc_diff = _mm_adds_epi8(acc_diff, padj);
	acc_diff = _mm_subs_epi8(acc_diff, nadj);
	return acc_diff;
	}

	// Denoise a 16x1 vector with a weaker filter.
	static INLINE __m128i vp10_denoiser_adj_16x1_sse2(
	const uint8_t sig, const uint8_t mc_running_avg_y,
	uint8_t *running_avg_y, const __m128i k_0,
	const __m128i k_delta, __m128i acc_diff) {
	__m128i v_running_avg_y = _mm_loadu_si128((__m128i *)(&running_avg_y[0]));
	// Calculate differences.
	const __m128i v_sig = _mm_loadu_si128((const __m128i *)(&sig[0]));
	const __m128i v_mc_running_avg_y =
	_mm_loadu_si128((const __m128i *)(&mc_running_avg_y[0]));
	const __m128i pdiff = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
	const __m128i ndiff = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
	// Obtain the sign. FF if diff is negative.
	const __m128i diff_sign = _mm_cmpeq_epi8(pdiff, k_0);
	// Clamp absolute difference to delta to get the adjustment.
	const __m128i adj =
	_mm_min_epu8(_mm_or_si128(pdiff, ndiff), k_delta);
	// Restore the sign and get positive and negative adjustments.
	__m128i padj, nadj;
	padj = _mm_andnot_si128(diff_sign, adj);
	nadj = _mm_and_si128(diff_sign, adj);
	// Calculate filtered value.
	v_running_avg_y = _mm_subs_epu8(v_running_avg_y, padj);
	v_running_avg_y = _mm_adds_epu8(v_running_avg_y, nadj);
	_mm_storeu_si128((__m128i *)running_avg_y, v_running_avg_y);

	// Accumulate the adjustments.
	acc_diff = _mm_subs_epi8(acc_diff, padj);
	acc_diff = _mm_adds_epi8(acc_diff, nadj);
	return acc_diff;
	}

	// Denoiser for 4xM and 8xM blocks.
	static int vp10_denoiser_NxM_sse2_small(
	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 width) {
	int sum_diff_thresh, r, sum_diff = 0;
	const int shift_inc = (increase_denoising &&
	motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ?
	1 : 0;
	uint8_t sig_buffer[8][16], mc_running_buffer[8][16], running_buffer[8][16];
	__m128i acc_diff = _mm_setzero_si128();
	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);
	const uint8_t shift = (width == 4) ? 2 : 1;

	for (r = 0; r < ((4 << b_height_log2_lookup[bs]) >> shift); ++r) {
	memcpy(sig_buffer[r], sig, width);
	memcpy(sig_buffer[r] + width, sig + sig_stride, width);
	memcpy(mc_running_buffer[r], mc_running_avg_y, width);
	memcpy(mc_running_buffer[r] + width,
	mc_running_avg_y + mc_avg_y_stride, width);
	memcpy(running_buffer[r], running_avg_y, width);
	memcpy(running_buffer[r] + width, running_avg_y + avg_y_stride, width);
	if (width == 4) {
	memcpy(sig_buffer[r] + width * 2, sig + sig_stride * 2, width);
	memcpy(sig_buffer[r] + width * 3, sig + sig_stride * 3, width);
	memcpy(mc_running_buffer[r] + width * 2,
	mc_running_avg_y + mc_avg_y_stride * 2, width);
	memcpy(mc_running_buffer[r] + width * 3,
	mc_running_avg_y + mc_avg_y_stride * 3, width);
	memcpy(running_buffer[r] + width * 2,
	running_avg_y + avg_y_stride * 2, width);
	memcpy(running_buffer[r] + width * 3,
	running_avg_y + avg_y_stride * 3, width);
	}
	acc_diff = vp10_denoiser_16x1_sse2(sig_buffer[r],
	mc_running_buffer[r],
	running_buffer[r],
	&k_0, &k_4, &k_8, &k_16,
	&l3, &l32, &l21, acc_diff);
	memcpy(running_avg_y, running_buffer[r], width);
	memcpy(running_avg_y + avg_y_stride, running_buffer[r] + width, width);
	if (width == 4) {
	memcpy(running_avg_y + avg_y_stride * 2,
	running_buffer[r] + width * 2, width);
	memcpy(running_avg_y + avg_y_stride * 3,
	running_buffer[r] + width * 3, width);
	}
	// Update pointers for next iteration.
	sig += (sig_stride << shift);
	mc_running_avg_y += (mc_avg_y_stride << shift);
	running_avg_y += (avg_y_stride << shift);
	}

	{
	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 acceptable range given by sum_diff_thresh.

	// The delta is set by the excess of absolute pixel diff over the
	// threshold.
	const 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]) >> shift); ++r) {
	acc_diff = vp10_denoiser_adj_16x1_sse2(
	sig_buffer[r], mc_running_buffer[r], running_buffer[r],
	k_0, k_delta, acc_diff);
	memcpy(running_avg_y, running_buffer[r], width);
	memcpy(running_avg_y + avg_y_stride,
	running_buffer[r] + width, width);
	if (width == 4) {
	memcpy(running_avg_y + avg_y_stride * 2,
	running_buffer[r] + width * 2, width);
	memcpy(running_avg_y + avg_y_stride * 3,
	running_buffer[r] + width * 3, width);
	}
	// Update pointers for next iteration.
	running_avg_y += (avg_y_stride << shift);
	}
	sum_diff = sum_diff_16x1(acc_diff);
	if (abs(sum_diff) > sum_diff_thresh) {
	return COPY_BLOCK;
	}
	} else {
	return COPY_BLOCK;
	}
	}
	}
	return FILTER_BLOCK;
	}

	// Denoiser for 16xM, 32xM and 64xM blocks
	static int vp10_denoiser_NxM_sse2_big(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, r, c, sum_diff = 0;
	const 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);

	for (c = 0; c < 4; ++c) {
	for (r = 0; r < 4; ++r) {
	acc_diff[c][r] = _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] = vp10_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) {
	const 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] = vp10_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 vp10_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 vp10_denoiser_NxM_sse2_small(sig, sig_stride,
	mc_avg, mc_avg_stride,
	avg, avg_stride,
	increase_denoising,
	bs, motion_magnitude, 4);
	} else if (bs == BLOCK_8X4 \|\| bs == BLOCK_8X8 \|\| bs == BLOCK_8X16) {
	return vp10_denoiser_NxM_sse2_small(sig, sig_stride,
	mc_avg, mc_avg_stride,
	avg, avg_stride,
	increase_denoising,
	bs, motion_magnitude, 8);
	} 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 vp10_denoiser_NxM_sse2_big(sig, sig_stride,
	mc_avg, mc_avg_stride,
	avg, avg_stride,
	increase_denoising,
	bs, motion_magnitude);
	} else {
	return COPY_BLOCK;
	}
	}