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/* The copyright in this software is being made available under the BSD
* License, included below. This software may be subject to other third party
* and contributor rights, including patent rights, and no such rights are
* granted under this license.
*
* Copyright (c) 2010-2021, ITU/ISO/IEC
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
* * Neither the name of the ITU/ISO/IEC nor the names of its contributors may
* be used to endorse or promote products derived from this software without
* specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS
* BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
* THE POSSIBILITY OF SUCH DAMAGE.
*/
/** \file SEIFilmGrainAnalyzer.h
\brief SMPTE RDD5 based film grain analysis functionality from SEI messages
*/
#ifndef __SEIFILMGRAINANALYZER__
#define __SEIFILMGRAINANALYZER__
#pragma once
#include "TLibCommon/TComPic.h"
#include "TLibCommon/SEI.h"
#include "Utilities/TVideoIOYuv.h"
#include "TLibCommon/CommonDef.h"
#include <numeric>
#include <cmath>
#include <algorithm>
#if JVET_X0048_X0103_FILM_GRAIN
static const double PI = 3.14159265358979323846;
static const int MAXPAIRS = 256;
static const int MAXORDER = 8; // maximum order of polinomial fitting
static const int MAX_REAL_SCALE = 16;
static const int ORDER = 4; // order of polinomial function
static const int QUANT_LEVELS = 4; // number of quantization levels in lloyd max quantization
static const int INTERVAL_SIZE = 16;
static const int MIN_ELEMENT_NUMBER_PER_INTENSITY_INTERVAL = 8;
static const int MIN_POINTS_FOR_INTENSITY_ESTIMATION = 40; // 5*8 = 40; 5 intervals with at least 8 points
static const int MIN_BLOCKS_FOR_CUTOFF_ESTIMATION = 2; // 2 blocks of 64 x 64 size
static const int POINT_STEP = 16; // step size in point extension
static const int MAX_NUM_POINT_TO_EXTEND = 4; // max point in extension
static const double POINT_SCALE = 1.25; // scaling in point extension
static const double VAR_SCALE_DOWN = 1.2; // filter out large points
static const double VAR_SCALE_UP = 0.6; // filter out large points
static const int NUM_PASSES = 2; // number of passes when fitting the function
static const int NBRS = 1; // minimum number of surrounding points in order to keep it for further analysis (within the widnow range)
static const int WINDOW = 1; // window to check surrounding points
static const int MIN_INTENSITY = 40;
static const int MAX_INTENSITY = 950;
//! \ingroup SEIFilmGrainAnalyzer
//! \{
// ====================================================================================================================
// Class definition
// ====================================================================================================================
struct Picture;
typedef std::vector<std::vector<Intermediate_Int>> PelMatrix;
typedef std::vector<std::vector<double>> PelMatrixDouble;
typedef std::vector<std::vector<long double>> PelMatrixLongDouble;
typedef std::vector<long double> PelVectorLongDouble;
class Canny
{
public:
Canny();
~Canny();
unsigned int m_convWidthG = 5, m_convHeightG = 5; // Pixel's row and col positions for Gauss filtering
void detect_edges(const TComPicYuv* orig, TComPicYuv* dest, unsigned int uiBitDepth, ComponentID compID);
private:
static const int m_gx[3][3]; // Sobel kernel x
static const int m_gy[3][3]; // Sobel kernel y
static const int m_gauss5x5[5][5]; // Gauss 5x5 kernel, integer approximation
unsigned int m_convWidthS = 3, m_convHeightS = 3; // Pixel's row and col positions for Sobel filtering
double m_lowThresholdRatio = 0.1; // low threshold rato
int m_highThresholdRatio = 3; // high threshold rato
void gradient (TComPicYuv* buff1, TComPicYuv* buff2,
unsigned int width, unsigned int height,
unsigned int convWidthS, unsigned int convHeightS, unsigned int bitDepth, ComponentID compID );
void suppressNonMax (TComPicYuv* buff1, TComPicYuv* buff2, unsigned int width, unsigned int height, ComponentID compID );
void doubleThreshold(TComPicYuv* buff, unsigned int width, unsigned int height, /*unsigned int windowSizeRatio,*/
unsigned int bitDepth, ComponentID compID);
void edgeTracking (TComPicYuv* buff1, unsigned int width, unsigned int height,
unsigned int windowWidth, unsigned int windowHeight, unsigned int bitDepth, ComponentID compID );
};
class Morph
{
public:
Morph();
~Morph();
int dilation (TComPicYuv* buff, unsigned int bitDepth, ComponentID compID, int numIter, int iter = 0);
int erosion (TComPicYuv* buff, unsigned int bitDepth, ComponentID compID, int numIter, int iter = 0);
private:
unsigned int m_kernelSize = 3; // Dilation and erosion kernel size
};
class FGAnalyser
{
public:
FGAnalyser();
~FGAnalyser();
void init(const int width,
const int height,
const int sourcePaddingWidth,
const int sourcePaddingHeight,
const InputColourSpaceConversion ipCSC,
const bool bClipInputVideoToRec709Range,
const ChromaFormat inputChroma,
const BitDepths& inputBitDepths,
const BitDepths& outputBitDepths,
const int frameSkip,
const bool doAnalysis[],
std::string filmGrainExternalMask,
std::string filmGrainExternalDenoised);
void destroy ();
bool initBufs (TComPic* pic);
void estimate_grain (TComPic* pic);
int getLog2scaleFactor() { return m_log2ScaleFactor; };
SEIFilmGrainCharacteristics::CompModel getCompModel(int idx) { return m_compModel[idx]; };
private:
std::string m_filmGrainExternalMask = "";
std::string m_filmGrainExternalDenoised = "";
int m_sourcePadding[2];
InputColourSpaceConversion m_ipCSC;
bool m_bClipInputVideoToRec709Range;
BitDepths m_bitDepthsIn;
int m_frameSkip;
ChromaFormat m_chromaFormatIDC;
BitDepths m_bitDepths;
bool m_doAnalysis[MAX_NUM_COMPONENT] = { false, false, false };
Canny m_edgeDetector;
Morph m_morphOperation;
double m_lowIntensityRatio = 0.1; // supress everything below 0.1*maxIntensityOffset
static constexpr double m_tap_filtar[3] = { 1, 2, 1 };
static constexpr double m_normTap = 4.0;
// fg model parameters
int m_log2ScaleFactor;
SEIFilmGrainCharacteristics::CompModel m_compModel[MAX_NUM_COMPONENT];
TComPicYuv *m_originalBuf = nullptr;
TComPicYuv *m_workingBuf = nullptr;
TComPicYuv *m_maskBuf = nullptr;
void findMask ();
void estimate_grain_parameters ();
void block_transform (const TComPicYuv& buff1, std::vector<PelMatrix>& squared_dct_grain_block_list, int offsetX, int offsetY, unsigned int bitDepth, ComponentID compID);
void estimate_cutoff_freq (const std::vector<PelMatrix>& blocks, ComponentID compID);
int cutoff_frequency (std::vector<double>& mean);
void estimate_scaling_factors (std::vector<int>& data_x, std::vector<int>& data_y, unsigned int bitDepth, ComponentID compID);
bool fit_function (std::vector<int>& data_x, std::vector<int>& data_y, std::vector<double>& coeffs, std::vector<double>& scalingVec,
int order, int bitDepth, bool second_pass);
void avg_scaling_vec (std::vector<double> &scalingVec, ComponentID compID, int bitDepth);
bool lloyd_max (std::vector<double>& scalingVec, std::vector<int>& quantizedVec, double& distortion, int numQuantizedLevels, int bitDepth);
void quantize (std::vector<double>& scalingVec, std::vector<double>& quantizedVec, double& distortion, std::vector<double> partition, std::vector<double> codebook);
void extend_points (std::vector<int>& data_x, std::vector<int>& data_y, int bitDepth);
void setEstimatedParameters (std::vector<int>& quantizedVec, unsigned int bitDepth, ComponentID compID);
void define_intervals_and_scalings(std::vector<std::vector<int>>& parameters, std::vector<int>& quantizedVec, int bitDepth);
void scale_down (std::vector<std::vector<int>>& parameters, int bitDepth);
void confirm_intervals (std::vector<std::vector<int>>& parameters);
long double ldpow (long double n, unsigned p);
int meanVar (TComPicYuv& buffer, int windowSize, ComponentID compID, int offsetX, int offsetY, bool getVar);
int count_edges (TComPicYuv& buffer, int windowSize, ComponentID compID, int offsetX, int offsetY);
void subsample (const TComPicYuv& input, TComPicYuv& output, ComponentID compID, const int factor = 2, const int padding = 0) const;
void upsample (const TComPicYuv& input, TComPicYuv& output, ComponentID compID, const int factor = 2, const int padding = 0) const;
void combineMasks (TComPicYuv& buff, TComPicYuv& buff2, ComponentID compID);
void suppressLowIntensity (const TComPicYuv& buff1, TComPicYuv& buff2, unsigned int bitDepth, ComponentID compID);
void subtract (TComPicYuv& buffer1, TComPicYuv& buffer2);
}; // END CLASS DEFINITION
//! \}
#endif
#endif // __SEIFILMGRAINANALYZER__
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