/* 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) 2010-2023, 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 constexpr int MIP_MAX_INPUT_SIZE = 8; static constexpr 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(Pel *const result, const int modeIdx, const bool transpose, const int bitDepth, const ComponentID compId); static int getNumModesMip(const Size &block); private: enum class MipSizeId { S0 = 0, S1, S2, NUM }; static MipSizeId getMipSizeId(const Size &block); ComponentID m_component; static_vector m_reducedBoundary; // downsampled boundary of a block static_vector m_reducedBoundaryTransposed; // downsampled, transposed boundary of a block int m_inputOffset; int m_inputOffsetTransp; static_vector m_refSamplesTop; // top reference samples for upsampling static_vector m_refSamplesLeft; // left reference samples for upsampling Size m_blockSize; MipSizeId m_sizeId; int m_reducedBdrySize; int m_reducedPredSize; unsigned int m_upsmpFactorHor; unsigned int m_upsmpFactorVer; void initPredBlockParams(const Size &block); static void boundaryDownsampling1D(Pel *reducedDst, const Pel *const fullSrc, const SizeType srcLen, const SizeType dstLen); void predictionUpsampling(Pel *const dst, const Pel *const src) const; static void predictionUpsampling1D(Pel *const dst, const Pel *const src, const Pel *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(Pel *const result, const Pel *const input, const uint8_t *matrix, const bool transpose, const int bitDepth); }; #endif //__MATRIXINTRAPPREDICTION__