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Diffstat (limited to 'media/libvpx/vp8/encoder/arm/neon/denoising_neon.c')
| -rw-r--r-- | media/libvpx/vp8/encoder/arm/neon/denoising_neon.c | 478 |
1 files changed, 478 insertions, 0 deletions
diff --git a/media/libvpx/vp8/encoder/arm/neon/denoising_neon.c b/media/libvpx/vp8/encoder/arm/neon/denoising_neon.c new file mode 100644 index 000000000..08be76e43 --- /dev/null +++ b/media/libvpx/vp8/encoder/arm/neon/denoising_neon.c @@ -0,0 +1,478 @@ +/* + * 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 <arm_neon.h> + +#include "vp8/encoder/denoising.h" +#include "vpx_mem/vpx_mem.h" +#include "./vp8_rtcd.h" + +/* + * The filter function was modified to reduce the computational complexity. + * + * Step 1: + * Instead of applying tap coefficients for each pixel, we calculated the + * pixel adjustments vs. pixel diff value ahead of time. + * adjustment = filtered_value - current_raw + * = (filter_coefficient * diff + 128) >> 8 + * where + * filter_coefficient = (255 << 8) / (256 + ((abs_diff * 330) >> 3)); + * filter_coefficient += filter_coefficient / + * (3 + motion_magnitude_adjustment); + * filter_coefficient is clamped to 0 ~ 255. + * + * Step 2: + * The adjustment vs. diff curve becomes flat very quick when diff increases. + * This allowed us to use only several levels to approximate the curve without + * changing the filtering algorithm too much. + * The adjustments were further corrected by checking the motion magnitude. + * The levels used are: + * diff level adjustment w/o adjustment w/ + * motion correction motion correction + * [-255, -16] 3 -6 -7 + * [-15, -8] 2 -4 -5 + * [-7, -4] 1 -3 -4 + * [-3, 3] 0 diff diff + * [4, 7] 1 3 4 + * [8, 15] 2 4 5 + * [16, 255] 3 6 7 + */ + +int vp8_denoiser_filter_neon(unsigned char *mc_running_avg_y, + int mc_running_avg_y_stride, + unsigned char *running_avg_y, + int running_avg_y_stride, + unsigned char *sig, int sig_stride, + unsigned int motion_magnitude, + int increase_denoising) { + /* If motion_magnitude is small, making the denoiser more aggressive by + * increasing the adjustment for each level, level1 adjustment is + * increased, the deltas stay the same. + */ + 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); + int64x2_t v_sum_diff_total = vdupq_n_s64(0); + + /* Go over lines. */ + int r; + for (r = 0; r < 16; ++r) { + /* Load inputs. */ + 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)); + + const int16x8_t fe_dc_ba_98_76_54_32_10 = vpaddlq_s8(v_sum_diff); + + 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); + + v_sum_diff_total = vqaddq_s64(v_sum_diff_total, fedcba98_76543210); + } + + /* Update pointers for next iteration. */ + sig += sig_stride; + mc_running_avg_y += mc_running_avg_y_stride; + running_avg_y += running_avg_y_stride; + } + + /* Too much adjustments => copy block. */ + { + int64x1_t x = vqadd_s64(vget_high_s64(v_sum_diff_total), + vget_low_s64(v_sum_diff_total)); + int sum_diff = vget_lane_s32(vabs_s32(vreinterpret_s32_s64(x)), 0); + int sum_diff_thresh = SUM_DIFF_THRESHOLD; + + if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH; + if (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 accceptable range given by sum_diff_thresh. + + // The delta is set by the excess of absolute pixel diff over the + // threshold. + int delta = ((sum_diff - sum_diff_thresh) >> 8) + 1; + // Only apply the adjustment for max delta up to 3. + if (delta < 4) { + const uint8x16_t k_delta = vmovq_n_u8(delta); + sig -= sig_stride * 16; + mc_running_avg_y -= mc_running_avg_y_stride * 16; + running_avg_y -= running_avg_y_stride * 16; + for (r = 0; r < 16; ++r) { + 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)); + + const int16x8_t fe_dc_ba_98_76_54_32_10 = + vpaddlq_s8(v_sum_diff); + 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); + + v_sum_diff_total = vqaddq_s64(v_sum_diff_total, + fedcba98_76543210); + } + /* Update pointers for next iteration. */ + sig += sig_stride; + mc_running_avg_y += mc_running_avg_y_stride; + running_avg_y += running_avg_y_stride; + } + { + // Update the sum of all pixel differences of this MB. + x = vqadd_s64(vget_high_s64(v_sum_diff_total), + vget_low_s64(v_sum_diff_total)); + sum_diff = vget_lane_s32(vabs_s32(vreinterpret_s32_s64(x)), 0); + + if (sum_diff > sum_diff_thresh) { + return COPY_BLOCK; + } + } + } else { + return COPY_BLOCK; + } + } + } + + /* Tell above level that block was filtered. */ + running_avg_y -= running_avg_y_stride * 16; + sig -= sig_stride * 16; + + vp8_copy_mem16x16(running_avg_y, running_avg_y_stride, sig, sig_stride); + + return FILTER_BLOCK; +} + +int vp8_denoiser_filter_uv_neon(unsigned char *mc_running_avg, + int mc_running_avg_stride, + unsigned char *running_avg, + int running_avg_stride, + unsigned char *sig, int sig_stride, + unsigned int motion_magnitude, + int increase_denoising) { + /* If motion_magnitude is small, making the denoiser more aggressive by + * increasing the adjustment for each level, level1 adjustment is + * increased, the deltas stay the same. + */ + int shift_inc = (increase_denoising && + motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD_UV) ? 1 : 0; + const uint8x16_t v_level1_adjustment = vmovq_n_u8( + (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD_UV) ? 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); + int64x2_t v_sum_diff_total = vdupq_n_s64(0); + int r; + + { + uint16x4_t v_sum_block = vdup_n_u16(0); + + // Avoid denoising color signal if its close to average level. + for (r = 0; r < 8; ++r) { + const uint8x8_t v_sig = vld1_u8(sig); + const uint16x4_t _76_54_32_10 = vpaddl_u8(v_sig); + v_sum_block = vqadd_u16(v_sum_block, _76_54_32_10); + sig += sig_stride; + } + sig -= sig_stride * 8; + { + const uint32x2_t _7654_3210 = vpaddl_u16(v_sum_block); + const uint64x1_t _76543210 = vpaddl_u32(_7654_3210); + const int sum_block = + vget_lane_s32(vreinterpret_s32_u64(_76543210), 0); + if (abs(sum_block - (128 * 8 * 8)) < SUM_DIFF_FROM_AVG_THRESH_UV) { + return COPY_BLOCK; + } + } + } + + /* Go over lines. */ + for (r = 0; r < 4; ++r) { + /* Load inputs. */ + const uint8x8_t v_sig_lo = vld1_u8(sig); + const uint8x8_t v_sig_hi = vld1_u8(&sig[sig_stride]); + const uint8x16_t v_sig = vcombine_u8(v_sig_lo, v_sig_hi); + const uint8x8_t v_mc_running_avg_lo = vld1_u8(mc_running_avg); + const uint8x8_t v_mc_running_avg_hi = + vld1_u8(&mc_running_avg[mc_running_avg_stride]); + const uint8x16_t v_mc_running_avg = + vcombine_u8(v_mc_running_avg_lo, v_mc_running_avg_hi); + /* Calculate absolute difference and sign masks. */ + const uint8x16_t v_abs_diff = vabdq_u8(v_sig, v_mc_running_avg); + const uint8x16_t v_diff_pos_mask = vcltq_u8(v_sig, v_mc_running_avg); + const uint8x16_t v_diff_neg_mask = vcgtq_u8(v_sig, v_mc_running_avg); + + /* 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 = vqaddq_u8(v_sig, v_pos_adjustment); + v_running_avg = vqsubq_u8(v_running_avg, v_neg_adjustment); + + /* Store results. */ + vst1_u8(running_avg, vget_low_u8(v_running_avg)); + vst1_u8(&running_avg[running_avg_stride], vget_high_u8(v_running_avg)); + + /* 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)); + + const int16x8_t fe_dc_ba_98_76_54_32_10 = vpaddlq_s8(v_sum_diff); + + 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); + + v_sum_diff_total = vqaddq_s64(v_sum_diff_total, fedcba98_76543210); + } + + /* Update pointers for next iteration. */ + sig += sig_stride * 2; + mc_running_avg += mc_running_avg_stride * 2; + running_avg += running_avg_stride * 2; + } + + + /* Too much adjustments => copy block. */ + { + int64x1_t x = vqadd_s64(vget_high_s64(v_sum_diff_total), + vget_low_s64(v_sum_diff_total)); + int sum_diff = vget_lane_s32(vabs_s32(vreinterpret_s32_s64(x)), 0); + int sum_diff_thresh = SUM_DIFF_THRESHOLD_UV; + if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH_UV; + if (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 accceptable range given by sum_diff_thresh. + + // The delta is set by the excess of absolute pixel diff over the + // threshold. + int delta = ((sum_diff - sum_diff_thresh) >> 8) + 1; + // Only apply the adjustment for max delta up to 3. + if (delta < 4) { + const uint8x16_t k_delta = vmovq_n_u8(delta); + sig -= sig_stride * 8; + mc_running_avg -= mc_running_avg_stride * 8; + running_avg -= running_avg_stride * 8; + for (r = 0; r < 4; ++r) { + const uint8x8_t v_sig_lo = vld1_u8(sig); + const uint8x8_t v_sig_hi = vld1_u8(&sig[sig_stride]); + const uint8x16_t v_sig = vcombine_u8(v_sig_lo, v_sig_hi); + const uint8x8_t v_mc_running_avg_lo = vld1_u8(mc_running_avg); + const uint8x8_t v_mc_running_avg_hi = + vld1_u8(&mc_running_avg[mc_running_avg_stride]); + const uint8x16_t v_mc_running_avg = + vcombine_u8(v_mc_running_avg_lo, v_mc_running_avg_hi); + /* Calculate absolute difference and sign masks. */ + const uint8x16_t v_abs_diff = vabdq_u8(v_sig, + v_mc_running_avg); + const uint8x16_t v_diff_pos_mask = vcltq_u8(v_sig, + v_mc_running_avg); + const uint8x16_t v_diff_neg_mask = vcgtq_u8(v_sig, + v_mc_running_avg); + // 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); + const uint8x8_t v_running_avg_lo = vld1_u8(running_avg); + const uint8x8_t v_running_avg_hi = + vld1_u8(&running_avg[running_avg_stride]); + uint8x16_t v_running_avg = + vcombine_u8(v_running_avg_lo, v_running_avg_hi); + + v_running_avg = vqsubq_u8(v_running_avg, v_pos_adjustment); + v_running_avg = vqaddq_u8(v_running_avg, v_neg_adjustment); + + /* Store results. */ + vst1_u8(running_avg, vget_low_u8(v_running_avg)); + vst1_u8(&running_avg[running_avg_stride], + vget_high_u8(v_running_avg)); + + { + const int8x16_t v_sum_diff = + vqsubq_s8(vreinterpretq_s8_u8(v_neg_adjustment), + vreinterpretq_s8_u8(v_pos_adjustment)); + + const int16x8_t fe_dc_ba_98_76_54_32_10 = + vpaddlq_s8(v_sum_diff); + 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); + + v_sum_diff_total = vqaddq_s64(v_sum_diff_total, + fedcba98_76543210); + } + /* Update pointers for next iteration. */ + sig += sig_stride * 2; + mc_running_avg += mc_running_avg_stride * 2; + running_avg += running_avg_stride * 2; + } + { + // Update the sum of all pixel differences of this MB. + x = vqadd_s64(vget_high_s64(v_sum_diff_total), + vget_low_s64(v_sum_diff_total)); + sum_diff = vget_lane_s32(vabs_s32(vreinterpret_s32_s64(x)), 0); + + if (sum_diff > sum_diff_thresh) { + return COPY_BLOCK; + } + } + } else { + return COPY_BLOCK; + } + } + } + + /* Tell above level that block was filtered. */ + running_avg -= running_avg_stride * 8; + sig -= sig_stride * 8; + + vp8_copy_mem8x8(running_avg, running_avg_stride, sig, sig_stride); + + return FILTER_BLOCK; +} |