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      1 /*
      2  *  Copyright (c) 2012 The WebM project authors. All Rights Reserved.
      3  *
      4  *  Use of this source code is governed by a BSD-style license
      5  *  that can be found in the LICENSE file in the root of the source
      6  *  tree. An additional intellectual property rights grant can be found
      7  *  in the file PATENTS.  All contributing project authors may
      8  *  be found in the AUTHORS file in the root of the source tree.
      9  */
     10 
     11 #include <arm_neon.h>
     12 
     13 #include "vp8/encoder/denoising.h"
     14 #include "vpx_mem/vpx_mem.h"
     15 #include "./vp8_rtcd.h"
     16 
     17 /*
     18  * The filter function was modified to reduce the computational complexity.
     19  *
     20  * Step 1:
     21  *  Instead of applying tap coefficients for each pixel, we calculated the
     22  *  pixel adjustments vs. pixel diff value ahead of time.
     23  *     adjustment = filtered_value - current_raw
     24  *                = (filter_coefficient * diff + 128) >> 8
     25  *  where
     26  *     filter_coefficient = (255 << 8) / (256 + ((abs_diff * 330) >> 3));
     27  *     filter_coefficient += filter_coefficient /
     28  *                           (3 + motion_magnitude_adjustment);
     29  *     filter_coefficient is clamped to 0 ~ 255.
     30  *
     31  * Step 2:
     32  *  The adjustment vs. diff curve becomes flat very quick when diff increases.
     33  *  This allowed us to use only several levels to approximate the curve without
     34  *  changing the filtering algorithm too much.
     35  *  The adjustments were further corrected by checking the motion magnitude.
     36  *  The levels used are:
     37  *      diff          level       adjustment w/o       adjustment w/
     38  *                               motion correction    motion correction
     39  *      [-255, -16]     3              -6                   -7
     40  *      [-15, -8]       2              -4                   -5
     41  *      [-7, -4]        1              -3                   -4
     42  *      [-3, 3]         0              diff                 diff
     43  *      [4, 7]          1               3                    4
     44  *      [8, 15]         2               4                    5
     45  *      [16, 255]       3               6                    7
     46  */
     47 
     48 int vp8_denoiser_filter_neon(YV12_BUFFER_CONFIG *mc_running_avg,
     49                              YV12_BUFFER_CONFIG *running_avg,
     50                              MACROBLOCK *signal, unsigned int motion_magnitude,
     51                              int y_offset, int uv_offset) {
     52     /* If motion_magnitude is small, making the denoiser more aggressive by
     53      * increasing the adjustment for each level, level1 adjustment is
     54      * increased, the deltas stay the same.
     55      */
     56     const uint8x16_t v_level1_adjustment = vdupq_n_u8(
     57         (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) ? 4 : 3);
     58     const uint8x16_t v_delta_level_1_and_2 = vdupq_n_u8(1);
     59     const uint8x16_t v_delta_level_2_and_3 = vdupq_n_u8(2);
     60     const uint8x16_t v_level1_threshold = vdupq_n_u8(4);
     61     const uint8x16_t v_level2_threshold = vdupq_n_u8(8);
     62     const uint8x16_t v_level3_threshold = vdupq_n_u8(16);
     63 
     64     /* Local variables for array pointers and strides. */
     65     unsigned char *sig = signal->thismb;
     66     int            sig_stride = 16;
     67     unsigned char *mc_running_avg_y = mc_running_avg->y_buffer + y_offset;
     68     int            mc_running_avg_y_stride = mc_running_avg->y_stride;
     69     unsigned char *running_avg_y = running_avg->y_buffer + y_offset;
     70     int            running_avg_y_stride = running_avg->y_stride;
     71 
     72     /* Go over lines. */
     73     int i;
     74     int sum_diff = 0;
     75     for (i = 0; i < 16; ++i) {
     76         int8x16_t v_sum_diff = vdupq_n_s8(0);
     77         uint8x16_t v_running_avg_y;
     78 
     79         /* Load inputs. */
     80         const uint8x16_t v_sig = vld1q_u8(sig);
     81         const uint8x16_t v_mc_running_avg_y = vld1q_u8(mc_running_avg_y);
     82 
     83         /* Calculate absolute difference and sign masks. */
     84         const uint8x16_t v_abs_diff      = vabdq_u8(v_sig, v_mc_running_avg_y);
     85         const uint8x16_t v_diff_pos_mask = vcltq_u8(v_sig, v_mc_running_avg_y);
     86         const uint8x16_t v_diff_neg_mask = vcgtq_u8(v_sig, v_mc_running_avg_y);
     87 
     88         /* Figure out which level that put us in. */
     89         const uint8x16_t v_level1_mask = vcleq_u8(v_level1_threshold,
     90                                                   v_abs_diff);
     91         const uint8x16_t v_level2_mask = vcleq_u8(v_level2_threshold,
     92                                                   v_abs_diff);
     93         const uint8x16_t v_level3_mask = vcleq_u8(v_level3_threshold,
     94                                                   v_abs_diff);
     95 
     96         /* Calculate absolute adjustments for level 1, 2 and 3. */
     97         const uint8x16_t v_level2_adjustment = vandq_u8(v_level2_mask,
     98                                                         v_delta_level_1_and_2);
     99         const uint8x16_t v_level3_adjustment = vandq_u8(v_level3_mask,
    100                                                         v_delta_level_2_and_3);
    101         const uint8x16_t v_level1and2_adjustment = vaddq_u8(v_level1_adjustment,
    102             v_level2_adjustment);
    103         const uint8x16_t v_level1and2and3_adjustment = vaddq_u8(
    104             v_level1and2_adjustment, v_level3_adjustment);
    105 
    106         /* Figure adjustment absolute value by selecting between the absolute
    107          * difference if in level0 or the value for level 1, 2 and 3.
    108          */
    109         const uint8x16_t v_abs_adjustment = vbslq_u8(v_level1_mask,
    110             v_level1and2and3_adjustment, v_abs_diff);
    111 
    112         /* Calculate positive and negative adjustments. Apply them to the signal
    113          * and accumulate them. Adjustments are less than eight and the maximum
    114          * sum of them (7 * 16) can fit in a signed char.
    115          */
    116         const uint8x16_t v_pos_adjustment = vandq_u8(v_diff_pos_mask,
    117                                                      v_abs_adjustment);
    118         const uint8x16_t v_neg_adjustment = vandq_u8(v_diff_neg_mask,
    119                                                      v_abs_adjustment);
    120         v_running_avg_y = vqaddq_u8(v_sig, v_pos_adjustment);
    121         v_running_avg_y = vqsubq_u8(v_running_avg_y, v_neg_adjustment);
    122         v_sum_diff = vqaddq_s8(v_sum_diff,
    123                                vreinterpretq_s8_u8(v_pos_adjustment));
    124         v_sum_diff = vqsubq_s8(v_sum_diff,
    125                                vreinterpretq_s8_u8(v_neg_adjustment));
    126 
    127         /* Store results. */
    128         vst1q_u8(running_avg_y, v_running_avg_y);
    129 
    130         /* Sum all the accumulators to have the sum of all pixel differences
    131          * for this macroblock.
    132          */
    133         {
    134             int s0 = vgetq_lane_s8(v_sum_diff,  0) +
    135                      vgetq_lane_s8(v_sum_diff,  1) +
    136                      vgetq_lane_s8(v_sum_diff,  2) +
    137                      vgetq_lane_s8(v_sum_diff,  3);
    138             int s1 = vgetq_lane_s8(v_sum_diff,  4) +
    139                      vgetq_lane_s8(v_sum_diff,  5) +
    140                      vgetq_lane_s8(v_sum_diff,  6) +
    141                      vgetq_lane_s8(v_sum_diff,  7);
    142             int s2 = vgetq_lane_s8(v_sum_diff,  8) +
    143                      vgetq_lane_s8(v_sum_diff,  9) +
    144                      vgetq_lane_s8(v_sum_diff, 10) +
    145                      vgetq_lane_s8(v_sum_diff, 11);
    146             int s3 = vgetq_lane_s8(v_sum_diff, 12) +
    147                      vgetq_lane_s8(v_sum_diff, 13) +
    148                      vgetq_lane_s8(v_sum_diff, 14) +
    149                      vgetq_lane_s8(v_sum_diff, 15);
    150             sum_diff += s0 + s1+ s2 + s3;
    151         }
    152 
    153         /* Update pointers for next iteration. */
    154         sig += sig_stride;
    155         mc_running_avg_y += mc_running_avg_y_stride;
    156         running_avg_y += running_avg_y_stride;
    157     }
    158 
    159     /* Too much adjustments => copy block. */
    160     if (abs(sum_diff) > SUM_DIFF_THRESHOLD)
    161         return COPY_BLOCK;
    162 
    163     /* Tell above level that block was filtered. */
    164     vp8_copy_mem16x16(running_avg->y_buffer + y_offset, running_avg_y_stride,
    165                       signal->thismb, sig_stride);
    166     return FILTER_BLOCK;
    167 }
    168