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/*
* Copyright (c) 2016 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.
*/
#ifndef MODULES_VIDEO_PROCESSING_UTIL_NOISE_ESTIMATION_H_
#define MODULES_VIDEO_PROCESSING_UTIL_NOISE_ESTIMATION_H_
#include <cstdint>
#include <memory>
#include "modules/video_processing/util/denoiser_filter.h"
namespace webrtc {
#define DISPLAY 0 // Rectangle diagnostics
#define DISPLAYNEON 0 // Rectangle diagnostics on NEON
const int kNoiseThreshold = 150;
const int kNoiseThresholdNeon = 70;
const int kConsecLowVarFrame = 6;
const int kAverageLumaMin = 20;
const int kAverageLumaMax = 220;
const int kBlockSelectionVarMax = kNoiseThreshold << 1;
// TODO(jackychen): To test different sampling strategy.
// Collect noise data every NOISE_SUBSAMPLE_INTERVAL blocks.
#define NOISE_SUBSAMPLE_INTERVAL 41
class NoiseEstimation {
public:
void Init(int width, int height, CpuType cpu_type);
// Collect noise data from one qualified block.
void GetNoise(int mb_index, uint32_t var, uint32_t luma);
// Reset the counter for consecutive low-var blocks.
void ResetConsecLowVar(int mb_index);
// Update noise level for current frame.
void UpdateNoiseLevel();
// 0: low noise, 1: high noise
uint8_t GetNoiseLevel();
private:
int width_;
int height_;
int mb_rows_;
int mb_cols_;
int num_noisy_block_;
int num_static_block_;
CpuType cpu_type_;
uint32_t noise_var_;
double noise_var_accum_;
double percent_static_block_;
std::unique_ptr<uint32_t[]> consec_low_var_;
};
} // namespace webrtc
#endif // MODULES_VIDEO_PROCESSING_UTIL_NOISE_ESTIMATION_H_