| /* |
| * Copyright (c) 2020, Alliance for Open Media. All rights reserved |
| * |
| * This source code is subject to the terms of the BSD 2 Clause License and |
| * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License |
| * was not distributed with this source code in the LICENSE file, you can |
| * obtain it at www.aomedia.org/license/software. If the Alliance for Open |
| * Media Patent License 1.0 was not distributed with this source code in the |
| * PATENTS file, you can obtain it at www.aomedia.org/license/patent. |
| */ |
| |
| #include <arm_neon.h> |
| #include <assert.h> |
| |
| #include "aom/aom_integer.h" |
| #include "aom_dsp/arm/mem_neon.h" |
| #include "aom_ports/mem.h" |
| #include "config/aom_config.h" |
| #include "config/av1_rtcd.h" |
| |
| #include "av1/common/reconinter.h" |
| #include "av1/encoder/context_tree.h" |
| #include "av1/encoder/av1_temporal_denoiser.h" |
| |
| // Compute the sum of all pixel differences of this MB. |
| static INLINE int horizontal_add_s8x16(const int8x16_t v_sum_diff_total) { |
| const int16x8_t fe_dc_ba_98_76_54_32_10 = vpaddlq_s8(v_sum_diff_total); |
| const int32x4_t fedc_ba98_7654_3210 = vpaddlq_s16(fe_dc_ba_98_76_54_32_10); |
| const int64x2_t fedcba98_76543210 = vpaddlq_s32(fedc_ba98_7654_3210); |
| const int64x1_t x = vqadd_s64(vget_high_s64(fedcba98_76543210), |
| vget_low_s64(fedcba98_76543210)); |
| const int sum_diff = vget_lane_s32(vreinterpret_s32_s64(x), 0); |
| return sum_diff; |
| } |
| |
| // Denoise a 16x1 vector. |
| static INLINE int8x16_t denoiser_16x1_neon( |
| const uint8_t *sig, const uint8_t *mc_running_avg_y, uint8_t *running_avg_y, |
| const uint8x16_t v_level1_threshold, const uint8x16_t v_level2_threshold, |
| const uint8x16_t v_level3_threshold, const uint8x16_t v_level1_adjustment, |
| const uint8x16_t v_delta_level_1_and_2, |
| const uint8x16_t v_delta_level_2_and_3, int8x16_t v_sum_diff_total) { |
| const uint8x16_t v_sig = vld1q_u8(sig); |
| const uint8x16_t v_mc_running_avg_y = vld1q_u8(mc_running_avg_y); |
| |
| /* Calculate absolute difference and sign masks. */ |
| const uint8x16_t v_abs_diff = vabdq_u8(v_sig, v_mc_running_avg_y); |
| const uint8x16_t v_diff_pos_mask = vcltq_u8(v_sig, v_mc_running_avg_y); |
| const uint8x16_t v_diff_neg_mask = vcgtq_u8(v_sig, v_mc_running_avg_y); |
| |
| /* Figure out which level that put us in. */ |
| const uint8x16_t v_level1_mask = vcleq_u8(v_level1_threshold, v_abs_diff); |
| const uint8x16_t v_level2_mask = vcleq_u8(v_level2_threshold, v_abs_diff); |
| const uint8x16_t v_level3_mask = vcleq_u8(v_level3_threshold, v_abs_diff); |
| |
| /* Calculate absolute adjustments for level 1, 2 and 3. */ |
| const uint8x16_t v_level2_adjustment = |
| vandq_u8(v_level2_mask, v_delta_level_1_and_2); |
| const uint8x16_t v_level3_adjustment = |
| vandq_u8(v_level3_mask, v_delta_level_2_and_3); |
| const uint8x16_t v_level1and2_adjustment = |
| vaddq_u8(v_level1_adjustment, v_level2_adjustment); |
| const uint8x16_t v_level1and2and3_adjustment = |
| vaddq_u8(v_level1and2_adjustment, v_level3_adjustment); |
| |
| /* Figure adjustment absolute value by selecting between the absolute |
| * difference if in level0 or the value for level 1, 2 and 3. |
| */ |
| const uint8x16_t v_abs_adjustment = |
| vbslq_u8(v_level1_mask, v_level1and2and3_adjustment, v_abs_diff); |
| |
| /* Calculate positive and negative adjustments. Apply them to the signal |
| * and accumulate them. Adjustments are less than eight and the maximum |
| * sum of them (7 * 16) can fit in a signed char. |
| */ |
| const uint8x16_t v_pos_adjustment = |
| vandq_u8(v_diff_pos_mask, v_abs_adjustment); |
| const uint8x16_t v_neg_adjustment = |
| vandq_u8(v_diff_neg_mask, v_abs_adjustment); |
| |
| uint8x16_t v_running_avg_y = vqaddq_u8(v_sig, v_pos_adjustment); |
| v_running_avg_y = vqsubq_u8(v_running_avg_y, v_neg_adjustment); |
| |
| /* Store results. */ |
| vst1q_u8(running_avg_y, v_running_avg_y); |
| |
| /* Sum all the accumulators to have the sum of all pixel differences |
| * for this macroblock. |
| */ |
| { |
| const int8x16_t v_sum_diff = |
| vqsubq_s8(vreinterpretq_s8_u8(v_pos_adjustment), |
| vreinterpretq_s8_u8(v_neg_adjustment)); |
| v_sum_diff_total = vaddq_s8(v_sum_diff_total, v_sum_diff); |
| } |
| return v_sum_diff_total; |
| } |
| |
| static INLINE int8x16_t denoiser_adjust_16x1_neon( |
| const uint8_t *sig, const uint8_t *mc_running_avg_y, uint8_t *running_avg_y, |
| const uint8x16_t k_delta, int8x16_t v_sum_diff_total) { |
| uint8x16_t v_running_avg_y = vld1q_u8(running_avg_y); |
| const uint8x16_t v_sig = vld1q_u8(sig); |
| const uint8x16_t v_mc_running_avg_y = vld1q_u8(mc_running_avg_y); |
| |
| /* Calculate absolute difference and sign masks. */ |
| const uint8x16_t v_abs_diff = vabdq_u8(v_sig, v_mc_running_avg_y); |
| const uint8x16_t v_diff_pos_mask = vcltq_u8(v_sig, v_mc_running_avg_y); |
| const uint8x16_t v_diff_neg_mask = vcgtq_u8(v_sig, v_mc_running_avg_y); |
| // Clamp absolute difference to delta to get the adjustment. |
| const uint8x16_t v_abs_adjustment = vminq_u8(v_abs_diff, (k_delta)); |
| |
| const uint8x16_t v_pos_adjustment = |
| vandq_u8(v_diff_pos_mask, v_abs_adjustment); |
| const uint8x16_t v_neg_adjustment = |
| vandq_u8(v_diff_neg_mask, v_abs_adjustment); |
| |
| v_running_avg_y = vqsubq_u8(v_running_avg_y, v_pos_adjustment); |
| v_running_avg_y = vqaddq_u8(v_running_avg_y, v_neg_adjustment); |
| |
| /* Store results. */ |
| vst1q_u8(running_avg_y, v_running_avg_y); |
| |
| { |
| const int8x16_t v_sum_diff = |
| vqsubq_s8(vreinterpretq_s8_u8(v_neg_adjustment), |
| vreinterpretq_s8_u8(v_pos_adjustment)); |
| v_sum_diff_total = vaddq_s8(v_sum_diff_total, v_sum_diff); |
| } |
| return v_sum_diff_total; |
| } |
| |
| // Denoise 8x8 and 8x16 blocks. |
| static int av1_denoiser_8xN_neon(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]; |
| |
| const uint8x16_t v_level1_adjustment = vmovq_n_u8( |
| (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ? 4 + shift_inc : 3); |
| const uint8x16_t v_delta_level_1_and_2 = vdupq_n_u8(1); |
| const uint8x16_t v_delta_level_2_and_3 = vdupq_n_u8(2); |
| const uint8x16_t v_level1_threshold = vdupq_n_u8(4 + shift_inc); |
| const uint8x16_t v_level2_threshold = vdupq_n_u8(8); |
| const uint8x16_t v_level3_threshold = vdupq_n_u8(16); |
| |
| const int b_height = block_size_high[bs] >> 1; |
| |
| int8x16_t v_sum_diff_total = vdupq_n_s8(0); |
| |
| for (r = 0; r < b_height; ++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); |
| v_sum_diff_total = denoiser_16x1_neon( |
| sig_buffer[r], mc_running_buffer[r], running_buffer[r], |
| v_level1_threshold, v_level2_threshold, v_level3_threshold, |
| v_level1_adjustment, v_delta_level_1_and_2, v_delta_level_2_and_3, |
| v_sum_diff_total); |
| { |
| const uint8x16_t v_running_buffer = vld1q_u8(running_buffer[r]); |
| const uint8x8_t v_running_buffer_high = vget_high_u8(v_running_buffer); |
| const uint8x8_t v_running_buffer_low = vget_low_u8(v_running_buffer); |
| vst1_u8(running_avg_y, v_running_buffer_low); |
| vst1_u8(running_avg_y + avg_y_stride, v_running_buffer_high); |
| } |
| // Update pointers for next iteration. |
| sig += (sig_stride << 1); |
| mc_running_avg_y += (mc_avg_y_stride << 1); |
| running_avg_y += (avg_y_stride << 1); |
| } |
| |
| { |
| sum_diff = horizontal_add_s8x16(v_sum_diff_total); |
| 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 uint8x16_t k_delta = vmovq_n_u8(delta); |
| running_avg_y -= avg_y_stride * (b_height << 1); |
| for (r = 0; r < b_height; ++r) { |
| v_sum_diff_total = denoiser_adjust_16x1_neon( |
| sig_buffer[r], mc_running_buffer[r], running_buffer[r], k_delta, |
| v_sum_diff_total); |
| { |
| const uint8x16_t v_running_buffer = vld1q_u8(running_buffer[r]); |
| const uint8x8_t v_running_buffer_high = |
| vget_high_u8(v_running_buffer); |
| const uint8x8_t v_running_buffer_low = |
| vget_low_u8(v_running_buffer); |
| vst1_u8(running_avg_y, v_running_buffer_low); |
| vst1_u8(running_avg_y + avg_y_stride, v_running_buffer_high); |
| } |
| // Update pointers for next iteration. |
| running_avg_y += (avg_y_stride << 1); |
| } |
| sum_diff = horizontal_add_s8x16(v_sum_diff_total); |
| if (abs(sum_diff) > sum_diff_thresh) { |
| return COPY_BLOCK; |
| } |
| } else { |
| return COPY_BLOCK; |
| } |
| } |
| } |
| |
| return FILTER_BLOCK; |
| } |
| |
| // Denoise 16x16, to 128x128 blocks. |
| static int av1_denoiser_NxM_neon(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) { |
| const int shift_inc = |
| (increase_denoising && motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) |
| ? 1 |
| : 0; |
| const uint8x16_t v_level1_adjustment = vmovq_n_u8( |
| (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ? 4 + shift_inc : 3); |
| const uint8x16_t v_delta_level_1_and_2 = vdupq_n_u8(1); |
| const uint8x16_t v_delta_level_2_and_3 = vdupq_n_u8(2); |
| const uint8x16_t v_level1_threshold = vmovq_n_u8(4 + shift_inc); |
| const uint8x16_t v_level2_threshold = vdupq_n_u8(8); |
| const uint8x16_t v_level3_threshold = vdupq_n_u8(16); |
| |
| const int b_width = block_size_wide[bs]; |
| const int b_height = block_size_high[bs]; |
| const int b_width_shift4 = b_width >> 4; |
| |
| int8x16_t v_sum_diff_total[8][8]; |
| int r, c, sum_diff = 0; |
| |
| for (r = 0; r < 8; ++r) { |
| for (c = 0; c < b_width_shift4; ++c) { |
| v_sum_diff_total[c][r] = vdupq_n_s8(0); |
| } |
| } |
| |
| for (r = 0; r < b_height; ++r) { |
| for (c = 0; c < b_width_shift4; ++c) { |
| v_sum_diff_total[c][r >> 4] = denoiser_16x1_neon( |
| sig, mc_running_avg_y, running_avg_y, v_level1_threshold, |
| v_level2_threshold, v_level3_threshold, v_level1_adjustment, |
| v_delta_level_1_and_2, v_delta_level_2_and_3, |
| v_sum_diff_total[c][r >> 4]); |
| |
| // Update pointers for next iteration. |
| sig += 16; |
| mc_running_avg_y += 16; |
| running_avg_y += 16; |
| } |
| |
| if ((r & 0xf) == 0xf || (bs == BLOCK_16X8 && r == 7)) { |
| for (c = 0; c < b_width_shift4; ++c) { |
| sum_diff += horizontal_add_s8x16(v_sum_diff_total[c][r >> 4]); |
| } |
| } |
| |
| // Update pointers for next iteration. |
| sig = sig - b_width + sig_stride; |
| mc_running_avg_y = mc_running_avg_y - b_width + mc_avg_y_stride; |
| running_avg_y = running_avg_y - b_width + avg_y_stride; |
| } |
| |
| { |
| const int 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 uint8x16_t k_delta = vdupq_n_u8(delta); |
| sig -= sig_stride * b_height; |
| mc_running_avg_y -= mc_avg_y_stride * b_height; |
| running_avg_y -= avg_y_stride * b_height; |
| sum_diff = 0; |
| |
| for (r = 0; r < b_height; ++r) { |
| for (c = 0; c < b_width_shift4; ++c) { |
| v_sum_diff_total[c][r >> 4] = |
| denoiser_adjust_16x1_neon(sig, mc_running_avg_y, running_avg_y, |
| k_delta, v_sum_diff_total[c][r >> 4]); |
| |
| // Update pointers for next iteration. |
| sig += 16; |
| mc_running_avg_y += 16; |
| running_avg_y += 16; |
| } |
| if ((r & 0xf) == 0xf || (bs == BLOCK_16X8 && r == 7)) { |
| for (c = 0; c < b_width_shift4; ++c) { |
| sum_diff += horizontal_add_s8x16(v_sum_diff_total[c][r >> 4]); |
| } |
| } |
| |
| sig = sig - b_width + sig_stride; |
| mc_running_avg_y = mc_running_avg_y - b_width + mc_avg_y_stride; |
| running_avg_y = running_avg_y - b_width + avg_y_stride; |
| } |
| |
| if (abs(sum_diff) > sum_diff_thresh) { |
| return COPY_BLOCK; |
| } |
| } else { |
| return COPY_BLOCK; |
| } |
| } |
| } |
| return FILTER_BLOCK; |
| } |
| |
| int av1_denoiser_filter_neon(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) { |
| // Rank by frequency of the block type to have an early termination. |
| if (bs == BLOCK_16X16 || bs == BLOCK_32X32 || bs == BLOCK_64X64 || |
| bs == BLOCK_128X128 || bs == BLOCK_128X64 || bs == BLOCK_64X128 || |
| bs == BLOCK_16X32 || bs == BLOCK_16X8 || bs == BLOCK_32X16 || |
| bs == BLOCK_32X64 || bs == BLOCK_64X32) { |
| return av1_denoiser_NxM_neon(sig, sig_stride, mc_avg, mc_avg_stride, avg, |
| avg_stride, increase_denoising, bs, |
| motion_magnitude); |
| } else if (bs == BLOCK_8X8 || bs == BLOCK_8X16) { |
| return av1_denoiser_8xN_neon(sig, sig_stride, mc_avg, mc_avg_stride, avg, |
| avg_stride, increase_denoising, bs, |
| motion_magnitude, 8); |
| } |
| return COPY_BLOCK; |
| } |
