Neon version of vp8_denoiser_filter_uv()

The encoder performance improved by 5% (vs "C")
for the test clip used.

Change-Id: I866b35eb2a06092edce7b37fc409562d0dacd7e7
This commit is contained in:
Scott LaVarnway 2014-06-27 11:03:58 -07:00
Родитель 91ccad2179
Коммит a4b7ae7e82
2 изменённых файлов: 237 добавлений и 1 удалений

Просмотреть файл

@ -553,7 +553,7 @@ if (vpx_config("CONFIG_TEMPORAL_DENOISING") eq "yes") {
add_proto qw/int vp8_denoiser_filter/, "unsigned char *mc_running_avg_y, int mc_avg_y_stride, unsigned char *running_avg_y, int avg_y_stride, unsigned char *sig, int sig_stride, unsigned int motion_magnitude, int increase_denoising";
specialize qw/vp8_denoiser_filter sse2 neon/;
add_proto qw/int vp8_denoiser_filter_uv/, "unsigned char *mc_running_avg, int mc_avg_stride, unsigned char *running_avg, int avg_stride, unsigned char *sig, int sig_stride, unsigned int motion_magnitude, int increase_denoising";
specialize qw/vp8_denoiser_filter_uv sse2/;
specialize qw/vp8_denoiser_filter_uv sse2 neon/;
}

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@ -240,3 +240,239 @@ int vp8_denoiser_filter_neon(unsigned char *mc_running_avg_y,
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 unsigned int sum_block =
vget_lane_u32(vreinterpret_u32_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;
}