ref: 576629baafa2bfbe4e41d2b3b3b6df1fb234126e
dir: /vp8/encoder/x86/denoising_sse2.c/
/*
* 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>
union sum_union {
__m128i v;
short e[8];
};
int 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 filtered_buf[16*16];
unsigned char *filtered = filtered_buf;
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;
__m128i acc_diff = { 0 };
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);
acc_diff = _mm_add_epi16(acc_diff, _mm_add_epi16(diff0, diff1));
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 *)(&filtered[0]), p2);
/* Update pointers for next iteration. */
sig += sig_stride;
filtered += 16;
mc_running_avg_y += mc_avg_y_stride;
running_avg_y += avg_y_stride;
}
{
/* Compute the sum of all pixel differences of this MB. */
union sum_union s;
int sum_diff;
s.v = acc_diff;
sum_diff = s.e[0] + s.e[1] + s.e[2] + s.e[3] +
s.e[4] + s.e[5] + s.e[6] + s.e[7];
if (abs(sum_diff) > SUM_DIFF_THRESHOLD)
{
return COPY_BLOCK;
}
}
vp8_copy_mem16x16(filtered_buf, 16, signal->thismb, sig_stride);
return FILTER_BLOCK;
}