-
Frank Bossen authoredFrank Bossen authored
MatrixIntraPrediction.h 4.20 KiB
/* 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 MatrixIntraPrediction.h
\brief matrix-based intra prediction class (header)
*/
#ifndef __MATRIXINTRAPPREDICTION__
#define __MATRIXINTRAPPREDICTION__
#include "Unit.h"
static const int MIP_MAX_INPUT_SIZE = 8;
static const int MIP_MAX_REDUCED_OUTPUT_SAMPLES = 64;
class MatrixIntraPrediction
{
public:
MatrixIntraPrediction();
void prepareInputForPred(const CPelBuf &pSrc, const Area &block, const int bitDepth, const ComponentID compId);
void predBlock(int *const result, const int modeIdx, const bool transpose, const int bitDepth,
const ComponentID compId);
private:
ComponentID m_component;
static_vector<int, MIP_MAX_INPUT_SIZE> m_reducedBoundary; // downsampled boundary of a block
static_vector<int, MIP_MAX_INPUT_SIZE> m_reducedBoundaryTransposed; // downsampled, transposed boundary of a block
int m_inputOffset;
int m_inputOffsetTransp;
static_vector<int, MIP_MAX_WIDTH> m_refSamplesTop; // top reference samples for upsampling
static_vector<int, MIP_MAX_HEIGHT> m_refSamplesLeft; // left reference samples for upsampling
Size m_blockSize;
int m_sizeId;
int m_reducedBdrySize;
int m_reducedPredSize;
unsigned int m_upsmpFactorHor;
unsigned int m_upsmpFactorVer;
void initPredBlockParams(const Size& block);
static void boundaryDownsampling1D(int* reducedDst, const int* const fullSrc, const SizeType srcLen, const SizeType dstLen);
void predictionUpsampling( int* const dst, const int* const src ) const;
static void predictionUpsampling1D( int* const dst, const int* const src, const int* const bndry,
const SizeType srcSizeUpsmpDim, const SizeType srcSizeOrthDim,
const SizeType srcStep, const SizeType srcStride,
const SizeType dstStep, const SizeType dstStride,
const SizeType bndryStep,
const unsigned int upsmpFactor );
const uint8_t* getMatrixData(const int modeIdx) const;
void computeReducedPred( int*const result, const int* const input,
const uint8_t* matrix,
const bool transpose, const int bitDepth );
};
#endif //__MATRIXINTRAPPREDICTION__