#include "vpx_mem/vpx_mem.h"
#include "vpx_rtcd.h"
-static const unsigned int NOISE_MOTION_THRESHOLD = 20*20;
-static const unsigned int NOISE_DIFF2_THRESHOLD = 75;
+
+static const unsigned int NOISE_MOTION_THRESHOLD = 20 * 20;
// SSE_DIFF_THRESHOLD is selected as ~95% confidence assuming var(noise) ~= 100.
-static const unsigned int SSE_DIFF_THRESHOLD = 16*16*20;
-static const unsigned int SSE_THRESHOLD = 16*16*40;
+static const unsigned int SSE_DIFF_THRESHOLD = 16 * 16 * 20;
+static const unsigned int SSE_THRESHOLD = 16 * 16 * 40;
+
-static uint8_t blend(uint8_t state, uint8_t sample, uint8_t factor_q8)
+static unsigned int denoiser_motion_compensate(YV12_BUFFER_CONFIG *src,
+ YV12_BUFFER_CONFIG *dst,
+ MACROBLOCK *x,
+ unsigned int best_sse,
+ unsigned int zero_mv_sse,
+ int recon_yoffset,
+ int recon_uvoffset)
{
- return (uint8_t)(
- (((uint16_t)factor_q8 * ((uint16_t)state) + // Q8
- (uint16_t)(256 - factor_q8) * ((uint16_t)sample)) + 128) // Q8
- >> 8);
+ MACROBLOCKD filter_xd = x->e_mbd;
+ int mv_col;
+ int mv_row;
+ int sse_diff = zero_mv_sse - best_sse;
+ // Compensate the running average.
+ filter_xd.pre.y_buffer = src->y_buffer + recon_yoffset;
+ filter_xd.pre.u_buffer = src->u_buffer + recon_uvoffset;
+ filter_xd.pre.v_buffer = src->v_buffer + recon_uvoffset;
+ // Write the compensated running average to the destination buffer.
+ filter_xd.dst.y_buffer = dst->y_buffer + recon_yoffset;
+ filter_xd.dst.u_buffer = dst->u_buffer + recon_uvoffset;
+ filter_xd.dst.v_buffer = dst->v_buffer + recon_uvoffset;
+ // Use the best MV for the compensation.
+ filter_xd.mode_info_context->mbmi.ref_frame = LAST_FRAME;
+ filter_xd.mode_info_context->mbmi.mode = filter_xd.best_sse_inter_mode;
+ filter_xd.mode_info_context->mbmi.mv = filter_xd.best_sse_mv;
+ filter_xd.mode_info_context->mbmi.need_to_clamp_mvs =
+ filter_xd.need_to_clamp_best_mvs;
+ mv_col = filter_xd.best_sse_mv.as_mv.col;
+ mv_row = filter_xd.best_sse_mv.as_mv.row;
+
+ if (filter_xd.mode_info_context->mbmi.mode <= B_PRED ||
+ (mv_row *mv_row + mv_col *mv_col <= NOISE_MOTION_THRESHOLD &&
+ sse_diff < SSE_DIFF_THRESHOLD))
+ {
+ // Handle intra blocks as referring to last frame with zero motion and
+ // let the absolute pixel difference affect the filter factor.
+ // Also consider small amount of motion as being random walk due to
+ // noise, if it doesn't mean that we get a much bigger error.
+ // Note that any changes to the mode info only affects the denoising.
+ filter_xd.mode_info_context->mbmi.ref_frame = LAST_FRAME;
+ filter_xd.mode_info_context->mbmi.mode = ZEROMV;
+ filter_xd.mode_info_context->mbmi.mv.as_int = 0;
+ x->e_mbd.best_sse_inter_mode = ZEROMV;
+ x->e_mbd.best_sse_mv.as_int = 0;
+ best_sse = zero_mv_sse;
+ }
+
+ if (!x->skip)
+ {
+ vp8_build_inter_predictors_mb(&filter_xd);
+ }
+ else
+ {
+ vp8_build_inter16x16_predictors_mb(&filter_xd,
+ filter_xd.dst.y_buffer,
+ filter_xd.dst.u_buffer,
+ filter_xd.dst.v_buffer,
+ filter_xd.dst.y_stride,
+ filter_xd.dst.uv_stride);
+ }
+
+ return best_sse;
}
-static unsigned int denoiser_motion_compensate(YV12_BUFFER_CONFIG* src,
- YV12_BUFFER_CONFIG* dst,
- MACROBLOCK* x,
- unsigned int best_sse,
- unsigned int zero_mv_sse,
- int recon_yoffset,
- int recon_uvoffset)
+// The filtering coefficients used for denoizing are adjusted for static
+// blocks, or blocks with very small motion vectors. This is done through
+// the motion magnitude parameter.
+//
+// There are currently 2048 possible mapping from absolute difference to
+// filter coefficient depending on the motion magnitude. Each mapping is
+// in a LUT table. All these tables are staticly allocated but they are only
+// filled on their first use.
+//
+// Each entry is a pair of 16b values, the coefficient and its complement
+// to 256. Each of these value should only be 8b but they are 16b wide to
+// avoid slow partial register manipulations.
+enum {num_motion_magnitude_adjustments = 2048};
+
+static union coeff_pair filter_coeff_LUT[num_motion_magnitude_adjustments][256];
+static uint8_t filter_coeff_LUT_initialized[num_motion_magnitude_adjustments] =
+ { 0 };
+
+
+union coeff_pair *vp8_get_filter_coeff_LUT(unsigned int motion_magnitude)
{
- MACROBLOCKD filter_xd = x->e_mbd;
- int mv_col;
- int mv_row;
- int sse_diff = zero_mv_sse - best_sse;
- // Compensate the running average.
- filter_xd.pre.y_buffer = src->y_buffer + recon_yoffset;
- filter_xd.pre.u_buffer = src->u_buffer + recon_uvoffset;
- filter_xd.pre.v_buffer = src->v_buffer + recon_uvoffset;
- // Write the compensated running average to the destination buffer.
- filter_xd.dst.y_buffer = dst->y_buffer + recon_yoffset;
- filter_xd.dst.u_buffer = dst->u_buffer + recon_uvoffset;
- filter_xd.dst.v_buffer = dst->v_buffer + recon_uvoffset;
- // Use the best MV for the compensation.
- filter_xd.mode_info_context->mbmi.ref_frame = LAST_FRAME;
- filter_xd.mode_info_context->mbmi.mode = filter_xd.best_sse_inter_mode;
- filter_xd.mode_info_context->mbmi.mv = filter_xd.best_sse_mv;
- filter_xd.mode_info_context->mbmi.need_to_clamp_mvs =
- filter_xd.need_to_clamp_best_mvs;
- mv_col = filter_xd.best_sse_mv.as_mv.col;
- mv_row = filter_xd.best_sse_mv.as_mv.row;
- if (filter_xd.mode_info_context->mbmi.mode <= B_PRED ||
- (mv_row*mv_row + mv_col*mv_col <= NOISE_MOTION_THRESHOLD &&
- sse_diff < SSE_DIFF_THRESHOLD))
- {
- // Handle intra blocks as referring to last frame with zero motion and
- // let the absolute pixel difference affect the filter factor.
- // Also consider small amount of motion as being random walk due to noise,
- // if it doesn't mean that we get a much bigger error.
- // Note that any changes to the mode info only affects the denoising.
- filter_xd.mode_info_context->mbmi.ref_frame = LAST_FRAME;
- filter_xd.mode_info_context->mbmi.mode = ZEROMV;
- filter_xd.mode_info_context->mbmi.mv.as_int = 0;
- x->e_mbd.best_sse_inter_mode = ZEROMV;
- x->e_mbd.best_sse_mv.as_int = 0;
- best_sse = zero_mv_sse;
- }
- if (!x->skip)
- {
- vp8_build_inter_predictors_mb(&filter_xd);
- }
- else
- {
- vp8_build_inter16x16_predictors_mb(&filter_xd,
- filter_xd.dst.y_buffer,
- filter_xd.dst.u_buffer,
- filter_xd.dst.v_buffer,
- filter_xd.dst.y_stride,
- filter_xd.dst.uv_stride);
- }
- return best_sse;
+ union coeff_pair *LUT;
+ unsigned int motion_magnitude_adjustment = motion_magnitude >> 3;
+
+ if (motion_magnitude_adjustment >= num_motion_magnitude_adjustments)
+ {
+ motion_magnitude_adjustment = num_motion_magnitude_adjustments - 1;
+ }
+
+ LUT = filter_coeff_LUT[motion_magnitude_adjustment];
+
+ if (!filter_coeff_LUT_initialized[motion_magnitude_adjustment])
+ {
+ int absdiff;
+
+ for (absdiff = 0; absdiff < 256; ++absdiff)
+ {
+ unsigned int filter_coefficient;
+ filter_coefficient = (255 << 8) / (256 + ((absdiff * 330) >> 3));
+ filter_coefficient += filter_coefficient /
+ (3 + motion_magnitude_adjustment);
+
+ if (filter_coefficient > 255)
+ {
+ filter_coefficient = 255;
+ }
+
+ LUT[absdiff].as_short[0] = filter_coefficient ;
+ LUT[absdiff].as_short[1] = 256 - filter_coefficient;
+ }
+
+ filter_coeff_LUT_initialized[motion_magnitude_adjustment] = 1;
+ }
+
+ return LUT;
}
-static void denoiser_filter(YV12_BUFFER_CONFIG* mc_running_avg,
- YV12_BUFFER_CONFIG* running_avg,
- MACROBLOCK* signal,
- unsigned int motion_magnitude2,
- int y_offset,
- int uv_offset)
+
+
+void vp8_denoiser_filter_c(YV12_BUFFER_CONFIG *mc_running_avg,
+ YV12_BUFFER_CONFIG *running_avg, MACROBLOCK *signal,
+ unsigned int motion_magnitude, int y_offset,
+ int uv_offset)
{
- unsigned char* sig = signal->thismb;
- int sig_stride = 16;
- unsigned char* mc_running_avg_y = mc_running_avg->y_buffer + y_offset;
- int mc_avg_y_stride = mc_running_avg->y_stride;
- unsigned char* running_avg_y = running_avg->y_buffer + y_offset;
- int avg_y_stride = running_avg->y_stride;
- int r, c;
- for (r = 0; r < 16; r++)
- {
- for (c = 0; c < 16; c++)
+ unsigned char *sig = signal->thismb;
+ int sig_stride = 16;
+ unsigned char *mc_running_avg_y = mc_running_avg->y_buffer + y_offset;
+ int mc_avg_y_stride = mc_running_avg->y_stride;
+ unsigned char *running_avg_y = running_avg->y_buffer + y_offset;
+ int avg_y_stride = running_avg->y_stride;
+ const union coeff_pair *LUT = vp8_get_filter_coeff_LUT(motion_magnitude);
+ int r, c;
+
+ for (r = 0; r < 16; ++r)
{
- int diff;
- int absdiff = 0;
- unsigned int filter_coefficient;
- absdiff = sig[c] - mc_running_avg_y[c];
- absdiff = absdiff > 0 ? absdiff : -absdiff;
- assert(absdiff >= 0 && absdiff < 256);
- filter_coefficient = (255 << 8) / (256 + ((absdiff * 330) >> 3));
- // Allow some additional filtering of static blocks, or blocks with very
- // small motion vectors.
- filter_coefficient += filter_coefficient / (3 + (motion_magnitude2 >> 3));
- filter_coefficient = filter_coefficient > 255 ? 255 : filter_coefficient;
-
- running_avg_y[c] = blend(mc_running_avg_y[c], sig[c], filter_coefficient);
- diff = sig[c] - running_avg_y[c];
-
- if (diff * diff < NOISE_DIFF2_THRESHOLD)
- {
- // Replace with mean to suppress the noise.
- sig[c] = running_avg_y[c];
- }
- else
- {
- // Replace the filter state with the signal since the change in this
- // pixel isn't classified as noise.
- running_avg_y[c] = sig[c];
- }
+ // Calculate absolute differences
+ unsigned char abs_diff[16];
+
+ union coeff_pair filter_coefficient[16];
+
+ for (c = 0; c < 16; ++c)
+ {
+ int absdiff = sig[c] - mc_running_avg_y[c];
+ absdiff = absdiff > 0 ? absdiff : -absdiff;
+ abs_diff[c] = absdiff;
+ }
+
+ // Use LUT to get filter coefficients (two 16b value; f and 256-f)
+ for (c = 0; c < 16; ++c)
+ {
+ filter_coefficient[c] = LUT[abs_diff[c]];
+ }
+
+ // Filtering...
+ for (c = 0; c < 16; ++c)
+ {
+ const uint16_t state = (uint16_t)(mc_running_avg_y[c]);
+ const uint16_t sample = (uint16_t)(sig[c]);
+
+ running_avg_y[c] = (filter_coefficient[c].as_short[0] * state +
+ filter_coefficient[c].as_short[1] * sample + 128) >> 8;
+ }
+
+ // Depending on the magnitude of the difference between the signal and
+ // filtered version, either replace the signal by the filtered one or
+ // update the filter state with the signal when the change in a pixel
+ // isn't classified as noise.
+ for (c = 0; c < 16; ++c)
+ {
+ const int diff = sig[c] - running_avg_y[c];
+
+ if (diff * diff < NOISE_DIFF2_THRESHOLD)
+ {
+ sig[c] = running_avg_y[c];
+ }
+ else
+ {
+ running_avg_y[c] = sig[c];
+ }
+ }
+
+ // Update pointers for next iteration.
+ sig += sig_stride;
+ mc_running_avg_y += mc_avg_y_stride;
+ running_avg_y += avg_y_stride;
}
- sig += sig_stride;
- mc_running_avg_y += mc_avg_y_stride;
- running_avg_y += avg_y_stride;
- }
}
+
int vp8_denoiser_allocate(VP8_DENOISER *denoiser, int width, int height)
{
- assert(denoiser);
- denoiser->yv12_running_avg.flags = 0;
- if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_running_avg), width,
- height, VP8BORDERINPIXELS) < 0)
- {
- vp8_denoiser_free(denoiser);
- return 1;
- }
- denoiser->yv12_mc_running_avg.flags = 0;
- if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_mc_running_avg), width,
- height, VP8BORDERINPIXELS) < 0)
- {
- vp8_denoiser_free(denoiser);
- return 1;
- }
- vpx_memset(denoiser->yv12_running_avg.buffer_alloc, 0,
- denoiser->yv12_running_avg.frame_size);
- vpx_memset(denoiser->yv12_mc_running_avg.buffer_alloc, 0,
- denoiser->yv12_mc_running_avg.frame_size);
- return 0;
+ assert(denoiser);
+ denoiser->yv12_running_avg.flags = 0;
+
+ if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_running_avg), width,
+ height, VP8BORDERINPIXELS) < 0)
+ {
+ vp8_denoiser_free(denoiser);
+ return 1;
+ }
+
+ denoiser->yv12_mc_running_avg.flags = 0;
+
+ if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_mc_running_avg), width,
+ height, VP8BORDERINPIXELS) < 0)
+ {
+ vp8_denoiser_free(denoiser);
+ return 1;
+ }
+
+ vpx_memset(denoiser->yv12_running_avg.buffer_alloc, 0,
+ denoiser->yv12_running_avg.frame_size);
+ vpx_memset(denoiser->yv12_mc_running_avg.buffer_alloc, 0,
+ denoiser->yv12_mc_running_avg.frame_size);
+ return 0;
}
void vp8_denoiser_free(VP8_DENOISER *denoiser)
{
- assert(denoiser);
- vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_running_avg);
- vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_mc_running_avg);
+ assert(denoiser);
+ vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_running_avg);
+ vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_mc_running_avg);
}
void vp8_denoiser_denoise_mb(VP8_DENOISER *denoiser,
unsigned int best_sse,
unsigned int zero_mv_sse,
int recon_yoffset,
- int recon_uvoffset) {
- int mv_row;
- int mv_col;
- unsigned int motion_magnitude2;
- // Motion compensate the running average.
- best_sse = denoiser_motion_compensate(&denoiser->yv12_running_avg,
- &denoiser->yv12_mc_running_avg,
- x,
- best_sse,
- zero_mv_sse,
- recon_yoffset,
- recon_uvoffset);
-
- mv_row = x->e_mbd.best_sse_mv.as_mv.row;
- mv_col = x->e_mbd.best_sse_mv.as_mv.col;
- motion_magnitude2 = mv_row*mv_row + mv_col*mv_col;
- if (best_sse > SSE_THRESHOLD ||
- motion_magnitude2 > 8 * NOISE_MOTION_THRESHOLD)
- {
- // No filtering of this block since it differs too much from the predictor,
- // or the motion vector magnitude is considered too big.
- vp8_copy_mem16x16(x->thismb, 16,
- denoiser->yv12_running_avg.y_buffer + recon_yoffset,
- denoiser->yv12_running_avg.y_stride);
- return;
- }
- // Filter.
- denoiser_filter(&denoiser->yv12_mc_running_avg,
- &denoiser->yv12_running_avg,
- x,
- motion_magnitude2,
- recon_yoffset,
- recon_uvoffset);
+ int recon_uvoffset)
+{
+ int mv_row;
+ int mv_col;
+ unsigned int motion_magnitude2;
+ // Motion compensate the running average.
+ best_sse = denoiser_motion_compensate(&denoiser->yv12_running_avg,
+ &denoiser->yv12_mc_running_avg,
+ x,
+ best_sse,
+ zero_mv_sse,
+ recon_yoffset,
+ recon_uvoffset);
+
+ mv_row = x->e_mbd.best_sse_mv.as_mv.row;
+ mv_col = x->e_mbd.best_sse_mv.as_mv.col;
+ motion_magnitude2 = mv_row * mv_row + mv_col * mv_col;
+
+ if (best_sse > SSE_THRESHOLD ||
+ motion_magnitude2 > 8 * NOISE_MOTION_THRESHOLD)
+ {
+ // No filtering of this block since it differs too much from the
+ // predictor, or the motion vector magnitude is considered too big.
+ vp8_copy_mem16x16(x->thismb, 16,
+ denoiser->yv12_running_avg.y_buffer + recon_yoffset,
+ denoiser->yv12_running_avg.y_stride);
+ return;
+ }
+
+ // Filter.
+ vp8_denoiser_filter(&denoiser->yv12_mc_running_avg,
+ &denoiser->yv12_running_avg, x, motion_magnitude2,
+ recon_yoffset, recon_uvoffset);
}
--- /dev/null
+/*
+ * Copyright (c) 2012 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 "vp8/encoder/denoising.h"
+
+#include "vp8/common/reconinter.h"
+#include "vpx/vpx_integer.h"
+#include "vpx_mem/vpx_mem.h"
+#include "vpx_rtcd.h"
+
+#include <emmintrin.h>
+
+void vp8_denoiser_filter_sse2(YV12_BUFFER_CONFIG *mc_running_avg,
+ YV12_BUFFER_CONFIG *running_avg,
+ MACROBLOCK *signal, unsigned int motion_magnitude,
+ int y_offset, int uv_offset)
+{
+ unsigned char *sig = signal->thismb;
+ int sig_stride = 16;
+ unsigned char *mc_running_avg_y = mc_running_avg->y_buffer + y_offset;
+ int mc_avg_y_stride = mc_running_avg->y_stride;
+ unsigned char *running_avg_y = running_avg->y_buffer + y_offset;
+ int avg_y_stride = running_avg->y_stride;
+ const union coeff_pair *LUT = vp8_get_filter_coeff_LUT(motion_magnitude);
+ int r, c;
+
+ for (r = 0; r < 16; ++r)
+ {
+ __m128i filter_coefficient_00, filter_coefficient_04;
+ __m128i filter_coefficient_08, filter_coefficient_12;
+ __m128i v_sig0, v_sig1;
+ __m128i v_mc_running_avg_y0, v_mc_running_avg_y1;
+ __m128i state0, state1, state2, state3;
+ __m128i res0, res1, res2, res3;
+ __m128i v_running_avg_y;
+ __m128i diff0, diff1, diff0sq, diff1sq, diff_sq;
+ const __m128i kNOISE_DIFF2_THRESHOLD =
+ _mm_set1_epi8(NOISE_DIFF2_THRESHOLD);
+ __m128i take_running, p0, p1, p2;
+ const __m128i k_zero = _mm_set1_epi16(0);
+ const __m128i k_128 = _mm_set1_epi32(128);
+
+ // Calculate absolute differences
+ DECLARE_ALIGNED_ARRAY(16,unsigned char,abs_diff,16);
+ DECLARE_ALIGNED_ARRAY(16,uint32_t,filter_coefficient,16);
+ __m128i v_sig = _mm_loadu_si128((__m128i *)(&sig[0]));
+ __m128i v_mc_running_avg_y = _mm_loadu_si128(
+ (__m128i *)(&mc_running_avg_y[0]));
+ __m128i a_minus_b = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
+ __m128i b_minus_a = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
+ __m128i v_abs_diff = _mm_adds_epu8(a_minus_b, b_minus_a);
+ _mm_store_si128((__m128i *)(&abs_diff[0]), v_abs_diff);
+
+ // Use LUT to get filter coefficients (two 16b value; f and 256-f)
+ for (c = 0; c < 16; ++c)
+ {
+ filter_coefficient[c] = LUT[abs_diff[c]].as_int;
+ }
+
+ // Filtering...
+ // load filter coefficients (two 16b value; f and 256-f)
+ filter_coefficient_00 = _mm_load_si128(
+ (__m128i *)(&filter_coefficient[ 0]));
+ filter_coefficient_04 = _mm_load_si128(
+ (__m128i *)(&filter_coefficient[ 4]));
+ filter_coefficient_08 = _mm_load_si128(
+ (__m128i *)(&filter_coefficient[ 8]));
+ filter_coefficient_12 = _mm_load_si128(
+ (__m128i *)(&filter_coefficient[12]));
+
+ // expand sig from 8b to 16b
+ v_sig0 = _mm_unpacklo_epi8(v_sig, k_zero);
+ v_sig1 = _mm_unpackhi_epi8(v_sig, k_zero);
+ // expand mc_running_avg_y from 8b to 16b
+ v_mc_running_avg_y0 = _mm_unpacklo_epi8(v_mc_running_avg_y, k_zero);
+ v_mc_running_avg_y1 = _mm_unpackhi_epi8(v_mc_running_avg_y, k_zero);
+ // interleave sig and mc_running_avg_y for upcoming multiply-add
+ state0 = _mm_unpacklo_epi16(v_mc_running_avg_y0, v_sig0);
+ state1 = _mm_unpackhi_epi16(v_mc_running_avg_y0, v_sig0);
+ state2 = _mm_unpacklo_epi16(v_mc_running_avg_y1, v_sig1);
+ state3 = _mm_unpackhi_epi16(v_mc_running_avg_y1, v_sig1);
+ // blend values
+ res0 = _mm_madd_epi16(filter_coefficient_00, state0);
+ res1 = _mm_madd_epi16(filter_coefficient_04, state1);
+ res2 = _mm_madd_epi16(filter_coefficient_08, state2);
+ res3 = _mm_madd_epi16(filter_coefficient_12, state3);
+ res0 = _mm_add_epi32(res0, k_128);
+ res1 = _mm_add_epi32(res1, k_128);
+ res2 = _mm_add_epi32(res2, k_128);
+ res3 = _mm_add_epi32(res3, k_128);
+ res0 = _mm_srai_epi32(res0, 8);
+ res1 = _mm_srai_epi32(res1, 8);
+ res2 = _mm_srai_epi32(res2, 8);
+ res3 = _mm_srai_epi32(res3, 8);
+ // combine the 32b results into a single 8b vector
+ res0 = _mm_packs_epi32(res0, res1);
+ res2 = _mm_packs_epi32(res2, res3);
+ v_running_avg_y = _mm_packus_epi16(res0, res2);
+
+ // Depending on the magnitude of the difference between the signal and
+ // filtered version, either replace the signal by the filtered one or
+ // update the filter state with the signal when the change in a pixel
+ // isn't classified as noise.
+ diff0 = _mm_sub_epi16(v_sig0, res0);
+ diff1 = _mm_sub_epi16(v_sig1, res2);
+ diff0sq = _mm_mullo_epi16(diff0, diff0);
+ diff1sq = _mm_mullo_epi16(diff1, diff1);
+ diff_sq = _mm_packus_epi16(diff0sq, diff1sq);
+ take_running = _mm_cmplt_epi8(diff_sq, kNOISE_DIFF2_THRESHOLD);
+ p0 = _mm_and_si128(take_running, v_running_avg_y);
+ p1 = _mm_andnot_si128(take_running, v_sig);
+ p2 = _mm_or_si128(p0, p1);
+ _mm_storeu_si128((__m128i *)(&running_avg_y[0]), p2);
+ _mm_storeu_si128((__m128i *)(&sig[0]), p2);
+
+ // Update pointers for next iteration.
+ sig += sig_stride;
+ mc_running_avg_y += mc_avg_y_stride;
+ running_avg_y += avg_y_stride;
+ }
+}
projects / platform / upstream / libvpx.git / commitdiff