154 lines
6.3 KiB
C
154 lines
6.3 KiB
C
/*
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* Copyright (c) 2012 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 "vp8/encoder/denoising.h"
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#include "vp8/common/reconinter.h"
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#include "vpx/vpx_integer.h"
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#include "vpx_mem/vpx_mem.h"
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#include "vpx_rtcd.h"
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#include <emmintrin.h>
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union sum_union {
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__m128i v;
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short e[8];
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};
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int vp8_denoiser_filter_sse2(YV12_BUFFER_CONFIG *mc_running_avg,
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YV12_BUFFER_CONFIG *running_avg,
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MACROBLOCK *signal, unsigned int motion_magnitude,
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int y_offset, int uv_offset)
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{
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unsigned char filtered_buf[16*16];
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unsigned char *filtered = filtered_buf;
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unsigned char *sig = signal->thismb;
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int sig_stride = 16;
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unsigned char *mc_running_avg_y = mc_running_avg->y_buffer + y_offset;
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int mc_avg_y_stride = mc_running_avg->y_stride;
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unsigned char *running_avg_y = running_avg->y_buffer + y_offset;
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int avg_y_stride = running_avg->y_stride;
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const union coeff_pair *LUT = vp8_get_filter_coeff_LUT(motion_magnitude);
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int r, c;
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__m128i acc_diff = { 0 };
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for (r = 0; r < 16; ++r)
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{
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__m128i filter_coefficient_00, filter_coefficient_04;
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__m128i filter_coefficient_08, filter_coefficient_12;
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__m128i v_sig0, v_sig1;
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__m128i v_mc_running_avg_y0, v_mc_running_avg_y1;
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__m128i state0, state1, state2, state3;
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__m128i res0, res1, res2, res3;
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__m128i v_running_avg_y;
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__m128i diff0, diff1, diff0sq, diff1sq, diff_sq;
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const __m128i kNOISE_DIFF2_THRESHOLD =
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_mm_set1_epi8(NOISE_DIFF2_THRESHOLD);
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__m128i take_running, p0, p1, p2;
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const __m128i k_zero = _mm_set1_epi16(0);
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const __m128i k_128 = _mm_set1_epi32(128);
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// Calculate absolute differences
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DECLARE_ALIGNED_ARRAY(16,unsigned char,abs_diff,16);
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DECLARE_ALIGNED_ARRAY(16,uint32_t,filter_coefficient,16);
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__m128i v_sig = _mm_loadu_si128((__m128i *)(&sig[0]));
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__m128i v_mc_running_avg_y = _mm_loadu_si128(
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(__m128i *)(&mc_running_avg_y[0]));
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__m128i a_minus_b = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
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__m128i b_minus_a = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
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__m128i v_abs_diff = _mm_adds_epu8(a_minus_b, b_minus_a);
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_mm_store_si128((__m128i *)(&abs_diff[0]), v_abs_diff);
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// Use LUT to get filter coefficients (two 16b value; f and 256-f)
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for (c = 0; c < 16; ++c)
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{
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filter_coefficient[c] = LUT[abs_diff[c]].as_int;
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}
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// Filtering...
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// load filter coefficients (two 16b value; f and 256-f)
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filter_coefficient_00 = _mm_load_si128(
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(__m128i *)(&filter_coefficient[ 0]));
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filter_coefficient_04 = _mm_load_si128(
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(__m128i *)(&filter_coefficient[ 4]));
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filter_coefficient_08 = _mm_load_si128(
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(__m128i *)(&filter_coefficient[ 8]));
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filter_coefficient_12 = _mm_load_si128(
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(__m128i *)(&filter_coefficient[12]));
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// expand sig from 8b to 16b
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v_sig0 = _mm_unpacklo_epi8(v_sig, k_zero);
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v_sig1 = _mm_unpackhi_epi8(v_sig, k_zero);
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// expand mc_running_avg_y from 8b to 16b
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v_mc_running_avg_y0 = _mm_unpacklo_epi8(v_mc_running_avg_y, k_zero);
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v_mc_running_avg_y1 = _mm_unpackhi_epi8(v_mc_running_avg_y, k_zero);
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// interleave sig and mc_running_avg_y for upcoming multiply-add
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state0 = _mm_unpacklo_epi16(v_mc_running_avg_y0, v_sig0);
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state1 = _mm_unpackhi_epi16(v_mc_running_avg_y0, v_sig0);
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state2 = _mm_unpacklo_epi16(v_mc_running_avg_y1, v_sig1);
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state3 = _mm_unpackhi_epi16(v_mc_running_avg_y1, v_sig1);
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// blend values
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res0 = _mm_madd_epi16(filter_coefficient_00, state0);
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res1 = _mm_madd_epi16(filter_coefficient_04, state1);
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res2 = _mm_madd_epi16(filter_coefficient_08, state2);
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res3 = _mm_madd_epi16(filter_coefficient_12, state3);
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res0 = _mm_add_epi32(res0, k_128);
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res1 = _mm_add_epi32(res1, k_128);
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res2 = _mm_add_epi32(res2, k_128);
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res3 = _mm_add_epi32(res3, k_128);
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res0 = _mm_srai_epi32(res0, 8);
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res1 = _mm_srai_epi32(res1, 8);
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res2 = _mm_srai_epi32(res2, 8);
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res3 = _mm_srai_epi32(res3, 8);
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// combine the 32b results into a single 8b vector
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res0 = _mm_packs_epi32(res0, res1);
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res2 = _mm_packs_epi32(res2, res3);
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v_running_avg_y = _mm_packus_epi16(res0, res2);
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// Depending on the magnitude of the difference between the signal and
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// filtered version, either replace the signal by the filtered one or
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// update the filter state with the signal when the change in a pixel
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// isn't classified as noise.
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diff0 = _mm_sub_epi16(v_sig0, res0);
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diff1 = _mm_sub_epi16(v_sig1, res2);
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acc_diff = _mm_add_epi16(acc_diff, _mm_add_epi16(diff0, diff1));
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diff0sq = _mm_mullo_epi16(diff0, diff0);
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diff1sq = _mm_mullo_epi16(diff1, diff1);
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diff_sq = _mm_packus_epi16(diff0sq, diff1sq);
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take_running = _mm_cmplt_epi8(diff_sq, kNOISE_DIFF2_THRESHOLD);
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p0 = _mm_and_si128(take_running, v_running_avg_y);
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p1 = _mm_andnot_si128(take_running, v_sig);
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p2 = _mm_or_si128(p0, p1);
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_mm_storeu_si128((__m128i *)(&running_avg_y[0]), p2);
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_mm_storeu_si128((__m128i *)(&filtered[0]), p2);
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// Update pointers for next iteration.
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sig += sig_stride;
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filtered += 16;
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mc_running_avg_y += mc_avg_y_stride;
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running_avg_y += avg_y_stride;
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}
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{
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// Compute the sum of all pixel differences of this MB.
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union sum_union s;
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int sum_diff;
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s.v = acc_diff;
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sum_diff = s.e[0] + s.e[1] + s.e[2] + s.e[3] +
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s.e[4] + s.e[5] + s.e[6] + s.e[7];
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if (abs(sum_diff) > SUM_DIFF_THRESHOLD)
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{
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return COPY_BLOCK;
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}
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}
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vp8_copy_mem16x16(filtered_buf, 16, signal->thismb, sig_stride);
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return FILTER_BLOCK;
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}
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