diff --git a/webrtc/modules/video_processing/util/denoiser_filter_neon.cc b/webrtc/modules/video_processing/util/denoiser_filter_neon.cc
index 195b985b98..68c94cbdb7 100644
--- a/webrtc/modules/video_processing/util/denoiser_filter_neon.cc
+++ b/webrtc/modules/video_processing/util/denoiser_filter_neon.cc
@@ -14,6 +14,8 @@
 
 namespace webrtc {
 
+const int kSumDiffThresholdHighNeon = 600;
+
 static int HorizontalAddS16x8(const int16x8_t v_16x8) {
   const int32x4_t a = vpaddlq_s16(v_16x8);
   const int64x2_t b = vpaddlq_s32(a);
@@ -179,7 +181,7 @@ DenoiserDecision DenoiserFilterNEON::MbDenoise(uint8_t* mc_running_avg_y,
                           vget_low_s64(v_sum_diff_total));
   int sum_diff = vget_lane_s32(vabs_s32(vreinterpret_s32_s64(x)), 0);
   sum_diff_thresh =
-      increase_denoising ? kSumDiffThresholdHigh : kSumDiffThreshold;
+      increase_denoising ? kSumDiffThresholdHighNeon : kSumDiffThreshold;
   if (sum_diff > sum_diff_thresh)
     return COPY_BLOCK;
 
diff --git a/webrtc/modules/video_processing/util/noise_estimation.h b/webrtc/modules/video_processing/util/noise_estimation.h
index fa5b522548..16d5587b70 100644
--- a/webrtc/modules/video_processing/util/noise_estimation.h
+++ b/webrtc/modules/video_processing/util/noise_estimation.h
@@ -23,7 +23,7 @@ namespace webrtc {
 #define DISPLAY 0      // Rectangle diagnostics
 #define DISPLAYNEON 0  // Rectangle diagnostics on NEON
 
-const int kNoiseThreshold = 200;
+const int kNoiseThreshold = 150;
 const int kNoiseThresholdNeon = 70;
 const int kConsecLowVarFrame = 6;
 const int kAverageLumaMin = 20;
diff --git a/webrtc/modules/video_processing/video_denoiser.cc b/webrtc/modules/video_processing/video_denoiser.cc
index c1cab8187d..0c58a2a14d 100644
--- a/webrtc/modules/video_processing/video_denoiser.cc
+++ b/webrtc/modules/video_processing/video_denoiser.cc
@@ -248,7 +248,7 @@ void VideoDenoiser::DenoiseFrame(const VideoFrame& frame,
   memset(moving_object_.get(), 1, mb_cols_ * mb_rows_);
 
   uint8_t noise_level = noise_estimation_enabled ? ne_->GetNoiseLevel() : 0;
-  int thr_var_base = 16 * 16 * 5;
+  int thr_var_base = 16 * 16 * 2;
   // Loop over blocks to accumulate/extract noise level and update x/y_density
   // factors for moving object detection.
   for (int mb_row = 0; mb_row < mb_rows_; ++mb_row) {