blob: 4902a8949135161521a6df571a541c57100abae8 [file] [log] [blame]
/*
* Copyright (c) 2015 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include "webrtc/common_video/libyuv/include/scaler.h"
#include "webrtc/common_video/libyuv/include/webrtc_libyuv.h"
#include "webrtc/modules/video_processing/video_denoiser.h"
namespace webrtc {
VideoDenoiser::VideoDenoiser(bool runtime_cpu_detection)
: width_(0),
height_(0),
filter_(DenoiserFilter::Create(runtime_cpu_detection)) {}
void VideoDenoiser::TrailingReduction(int mb_rows,
int mb_cols,
const uint8_t* y_src,
int stride_y,
uint8_t* y_dst) {
for (int mb_row = 1; mb_row < mb_rows - 1; ++mb_row) {
for (int mb_col = 1; mb_col < mb_cols - 1; ++mb_col) {
int mb_index = mb_row * mb_cols + mb_col;
uint8_t* mb_dst = y_dst + (mb_row << 4) * stride_y + (mb_col << 4);
const uint8_t* mb_src = y_src + (mb_row << 4) * stride_y + (mb_col << 4);
// If the number of denoised neighbors is less than a threshold,
// do NOT denoise for the block. Set different threshold for skin MB.
// The change of denoising status will not propagate.
if (metrics_[mb_index].is_skin) {
// The threshold is high (more strict) for non-skin MB where the
// trailing usually happen.
if (metrics_[mb_index].denoise &&
metrics_[mb_index + 1].denoise + metrics_[mb_index - 1].denoise +
metrics_[mb_index + mb_cols].denoise +
metrics_[mb_index - mb_cols].denoise <=
2) {
metrics_[mb_index].denoise = 0;
filter_->CopyMem16x16(mb_src, stride_y, mb_dst, stride_y);
}
} else if (metrics_[mb_index].denoise &&
metrics_[mb_index + 1].denoise +
metrics_[mb_index - 1].denoise +
metrics_[mb_index + mb_cols + 1].denoise +
metrics_[mb_index + mb_cols - 1].denoise +
metrics_[mb_index - mb_cols + 1].denoise +
metrics_[mb_index - mb_cols - 1].denoise +
metrics_[mb_index + mb_cols].denoise +
metrics_[mb_index - mb_cols].denoise <=
7) {
filter_->CopyMem16x16(mb_src, stride_y, mb_dst, stride_y);
}
}
}
}
void VideoDenoiser::DenoiseFrame(const VideoFrame& frame,
VideoFrame* denoised_frame) {
int stride_y = frame.stride(kYPlane);
int stride_u = frame.stride(kUPlane);
int stride_v = frame.stride(kVPlane);
// If previous width and height are different from current frame's, then no
// denoising for the current frame.
if (width_ != frame.width() || height_ != frame.height()) {
width_ = frame.width();
height_ = frame.height();
denoised_frame->CreateFrame(frame.buffer(kYPlane), frame.buffer(kUPlane),
frame.buffer(kVPlane), width_, height_,
stride_y, stride_u, stride_v);
// Setting time parameters to the output frame.
denoised_frame->set_timestamp(frame.timestamp());
denoised_frame->set_render_time_ms(frame.render_time_ms());
return;
}
// For 16x16 block.
int mb_cols = width_ >> 4;
int mb_rows = height_ >> 4;
if (metrics_.get() == nullptr)
metrics_.reset(new DenoiseMetrics[mb_cols * mb_rows]());
// Denoise on Y plane.
uint8_t* y_dst = denoised_frame->buffer(kYPlane);
uint8_t* u_dst = denoised_frame->buffer(kUPlane);
uint8_t* v_dst = denoised_frame->buffer(kVPlane);
const uint8_t* y_src = frame.buffer(kYPlane);
const uint8_t* u_src = frame.buffer(kUPlane);
const uint8_t* v_src = frame.buffer(kVPlane);
// Temporary buffer to store denoising result.
uint8_t y_tmp[16 * 16] = {0};
for (int mb_row = 0; mb_row < mb_rows; ++mb_row) {
for (int mb_col = 0; mb_col < mb_cols; ++mb_col) {
const uint8_t* mb_src = y_src + (mb_row << 4) * stride_y + (mb_col << 4);
uint8_t* mb_dst = y_dst + (mb_row << 4) * stride_y + (mb_col << 4);
int mb_index = mb_row * mb_cols + mb_col;
// Denoise each MB at the very start and save the result to a temporary
// buffer.
if (filter_->MbDenoise(mb_dst, stride_y, y_tmp, 16, mb_src, stride_y, 0,
1) == FILTER_BLOCK) {
uint32_t thr_var = 0;
// Save var and sad to the buffer.
metrics_[mb_index].var = filter_->Variance16x8(
mb_dst, stride_y, y_tmp, 16, &metrics_[mb_index].sad);
// Get skin map.
metrics_[mb_index].is_skin = MbHasSkinColor(
y_src, u_src, v_src, stride_y, stride_u, stride_v, mb_row, mb_col);
// Variance threshold for skin/non-skin MB is different.
// Skin MB use a small threshold to reduce blockiness.
thr_var = metrics_[mb_index].is_skin ? 128 : 12 * 128;
if (metrics_[mb_index].var > thr_var) {
metrics_[mb_index].denoise = 0;
// Use the source MB.
filter_->CopyMem16x16(mb_src, stride_y, mb_dst, stride_y);
} else {
metrics_[mb_index].denoise = 1;
// Use the denoised MB.
filter_->CopyMem16x16(y_tmp, 16, mb_dst, stride_y);
}
} else {
metrics_[mb_index].denoise = 0;
filter_->CopyMem16x16(mb_src, stride_y, mb_dst, stride_y);
}
// Copy source U/V plane.
const uint8_t* mb_src_u =
u_src + (mb_row << 3) * stride_u + (mb_col << 3);
const uint8_t* mb_src_v =
v_src + (mb_row << 3) * stride_v + (mb_col << 3);
uint8_t* mb_dst_u = u_dst + (mb_row << 3) * stride_u + (mb_col << 3);
uint8_t* mb_dst_v = v_dst + (mb_row << 3) * stride_v + (mb_col << 3);
filter_->CopyMem8x8(mb_src_u, stride_u, mb_dst_u, stride_u);
filter_->CopyMem8x8(mb_src_v, stride_v, mb_dst_v, stride_v);
}
}
// Second round.
// This is to reduce the trailing artifact and blockiness by referring
// neighbors' denoising status.
TrailingReduction(mb_rows, mb_cols, y_src, stride_y, y_dst);
// Setting time parameters to the output frame.
denoised_frame->set_timestamp(frame.timestamp());
denoised_frame->set_render_time_ms(frame.render_time_ms());
return;
}
} // namespace webrtc