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VP9 noise estimation: add frame level motion metrics and adjust thresholds.

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Change-Id: Ia1aba00603b32cee6835951d3d8f740937cf20f4
This commit is contained in:
JackyChen 2015-11-12 18:36:17 -08:00
parent 866c9357c2
commit 6fb3d6db99
1 changed files with 16 additions and 3 deletions
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19
vp9/encoder/vp9_noise_estimate.c
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@ -88,7 +88,7 @@ void vp9_update_noise_estimate(VP9_COMP *const cpi) {
// Estimate of noise level every frame_period frames. // Estimate of noise level every frame_period frames.
int frame_period = 10; int frame_period = 10;
int thresh_consec_zeromv = 8; int thresh_consec_zeromv = 8;
unsigned int thresh_sum_diff = 128; unsigned int thresh_sum_diff = 100;
unsigned int thresh_sum_spatial = (200 * 200) << 8; unsigned int thresh_sum_spatial = (200 * 200) << 8;
unsigned int thresh_spatial_var = (32 * 32) << 8; unsigned int thresh_spatial_var = (32 * 32) << 8;
int num_frames_estimate = 20; int num_frames_estimate = 20;
@ -135,6 +135,17 @@ void vp9_update_noise_estimate(VP9_COMP *const cpi) {
const int uv_width_shift = y_width_shift >> 1; const int uv_width_shift = y_width_shift >> 1;
const int uv_height_shift = y_height_shift >> 1; const int uv_height_shift = y_height_shift >> 1;
int mi_row, mi_col; int mi_row, mi_col;
int num_low_motion = 0;
int frame_low_motion = 1;
for (mi_row = 0; mi_row < cm->mi_rows; mi_row++) {
for (mi_col = 0; mi_col < cm->mi_cols; mi_col++) {
int bl_index = mi_row * cm->mi_cols + mi_col;
if (cr->consec_zero_mv[bl_index] > thresh_consec_zeromv)
num_low_motion++;
}
}
if (num_low_motion < ((3 * cm->mi_rows * cm->mi_cols) >> 3))
frame_low_motion = 0;
for (mi_row = 0; mi_row < cm->mi_rows; mi_row++) { for (mi_row = 0; mi_row < cm->mi_rows; mi_row++) {
for (mi_col = 0; mi_col < cm->mi_cols; mi_col++) { for (mi_col = 0; mi_col < cm->mi_cols; mi_col++) {
// 16x16 blocks, 1/4 sample of frame. // 16x16 blocks, 1/4 sample of frame.
@ -154,7 +165,8 @@ void vp9_update_noise_estimate(VP9_COMP *const cpi) {
const uint8_t vsource = const uint8_t vsource =
src_v[uv_height_shift * src_uvstride + uv_width_shift]; src_v[uv_height_shift * src_uvstride + uv_width_shift];
int is_skin = vp9_skin_pixel(ysource, usource, vsource); int is_skin = vp9_skin_pixel(ysource, usource, vsource);
if (cr->consec_zero_mv[bl_index] > thresh_consec_zeromv && if (frame_low_motion &&
cr->consec_zero_mv[bl_index] > thresh_consec_zeromv &&
cr->consec_zero_mv[bl_index1] > thresh_consec_zeromv && cr->consec_zero_mv[bl_index1] > thresh_consec_zeromv &&
cr->consec_zero_mv[bl_index2] > thresh_consec_zeromv && cr->consec_zero_mv[bl_index2] > thresh_consec_zeromv &&
cr->consec_zero_mv[bl_index3] > thresh_consec_zeromv && cr->consec_zero_mv[bl_index3] > thresh_consec_zeromv &&
@ -202,10 +214,11 @@ void vp9_update_noise_estimate(VP9_COMP *const cpi) {
// Normalize. // Normalize.
avg_est = avg_est / num_samples; avg_est = avg_est / num_samples;
// Update noise estimate. // Update noise estimate.
ne->value = (int)((3 * ne->value + avg_est) >> 2); ne->value = (int)((15 * ne->value + avg_est) >> 4);
ne->count++; ne->count++;
if (ne->count == num_frames_estimate) { if (ne->count == num_frames_estimate) {
// Reset counter and check noise level condition. // Reset counter and check noise level condition.
num_frames_estimate = 40;
ne->count = 0; ne->count = 0;
if (ne->value > (ne->thresh << 1)) if (ne->value > (ne->thresh << 1))
ne->level = kHigh; ne->level = kHigh;