External denoiser based on noise estimation and moving object detection.

webrtc/modules/video_processing/util/denoiser_filter_neon.cc

Index: webrtc/modules/video_processing/util/denoiser_filter_neon.cc
diff --git a/webrtc/modules/video_processing/util/denoiser_filter_neon.cc b/webrtc/modules/video_processing/util/denoiser_filter_neon.cc
index b522bf002b0273d2ef769fca2946e79df8445569..aa3900e01981310e32b7aea450d1d0f696dc69eb 100644
--- a/webrtc/modules/video_processing/util/denoiser_filter_neon.cc
+++ b/webrtc/modules/video_processing/util/denoiser_filter_neon.cc
@@ -106,7 +106,8 @@ DenoiserDecision DenoiserFilterNEON::MbDenoise(uint8_t* mc_running_avg_y,
                                                const uint8_t* sig,
                                                int sig_stride,
                                                uint8_t motion_magnitude,
-                                               int increase_denoising) {
+                                               int increase_denoising,
+                                               bool denoise_anyway) {
   // 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.
@@ -194,7 +195,9 @@ DenoiserDecision DenoiserFilterNEON::MbDenoise(uint8_t* mc_running_avg_y,
     int sum_diff = vget_lane_s32(vabs_s32(vreinterpret_s32_s64(x)), 0);
     int sum_diff_thresh = kSumDiffThreshold;
 
-    if (increase_denoising)
+    if (denoise_anyway)
+      sum_diff_thresh = kSumDiffThresholdMax;
+    else if (increase_denoising)
       sum_diff_thresh = kSumDiffThresholdHigh;
     if (sum_diff > sum_diff_thresh) {
       // Before returning to copy the block (i.e., apply no denoising),