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/** \file MatrixIntraPrediction.cpp
\brief matrix-based intra prediction class
*/
#include "MatrixIntraPrediction.h"
#include "dtrace_next.h"
#include "UnitTools.h"
#include "MipData.h"
namespace vvdec
{
namespace Mip
{
PredictorMIP::PredictorMIP():
m_blockSize( 0, 0 ),
m_sizeId( 0 ),
m_reducedBdrySize( 0 ),
m_reducedPredSize( 0 ),
m_upsmpFactorHor( 0 ),
m_upsmpFactorVer( 0 )
{
}
void PredictorMIP::deriveBoundaryData(const CPelBuf& src, const Area& block, const int bitDepth)
{
// Step 1: Save block size and calculate dependent values
initPredBlockParams(block);
// Step 2: Get the input data (left and top reference samples)
// m_refSamplesTop.resize(block.width);
for (int x = 0; x < block.width; x++)
{
m_refSamplesTop[x] = src.at(x + 1, 0);
}
// m_refSamplesLeft.resize(block.height);
for (int y = 0; y < block.height; y++)
{
m_refSamplesLeft[y] = src.at(0, y + 1);
}
// Step 3: Compute the reduced boundary via Haar-downsampling (input for the prediction)
// m_reducedBoundary .resize( m_reducedBoundarySize.width + m_reducedBoundarySize.height );
// m_reducedBoundaryTransposed.resize( m_reducedBoundarySize.width + m_reducedBoundarySize.height );
// m_reducedBoundary .resize( inputSize );
// m_reducedBoundaryTransposed.resize( inputSize );
Pel* const topReduced = m_reducedBoundary;
boundaryDownsampling1D( topReduced, m_refSamplesTop, block.width, m_reducedBdrySize );
Pel* const leftReduced = m_reducedBoundary + m_reducedBdrySize;
boundaryDownsampling1D( leftReduced, m_refSamplesLeft, block.height, m_reducedBdrySize );
Pel* const leftReducedTransposed = m_reducedBoundaryTransposed;
Pel* const topReducedTransposed = m_reducedBoundaryTransposed + m_reducedBdrySize;
for( int x = 0; x < m_reducedBdrySize; x++ )
{
topReducedTransposed[x] = topReduced[x];
}
for( int y = 0; y < m_reducedBdrySize; y++ )
{
leftReducedTransposed[y] = leftReduced[y];
}
// Step 4: Rebase the reduced boundary
const int inputSize = 2 * m_reducedBdrySize;
m_inputOffset = m_reducedBoundary[0];
m_inputOffsetTransp = m_reducedBoundaryTransposed[0];
const bool hasFirstCol = (m_sizeId < 2);
m_reducedBoundary [0] = hasFirstCol ? ((1 << (bitDepth - 1)) - m_inputOffset ) : 0; // first column of matrix not needed for large blocks
m_reducedBoundaryTransposed[0] = hasFirstCol ? ((1 << (bitDepth - 1)) - m_inputOffsetTransp) : 0;
for (int i = 1; i < inputSize; i++)
{
m_reducedBoundary [i] -= m_inputOffset;
m_reducedBoundaryTransposed[i] -= m_inputOffsetTransp;
}
}
void PredictorMIP::getPrediction(Pel* const result, const int modeIdx, const bool transpose, const int bitDepth)
{
const bool needUpsampling = ( m_upsmpFactorHor > 1 ) || ( m_upsmpFactorVer > 1 );
const uint8_t* matrix = getMatrixData(modeIdx);
Pel bufReducedPred[MIP_MAX_REDUCED_OUTPUT_SAMPLES];
Pel* const reducedPred = needUpsampling ? bufReducedPred : result;
const Pel* const reducedBoundary = transpose ? m_reducedBoundaryTransposed : m_reducedBoundary;
computeReducedPred( reducedPred, reducedBoundary, matrix, transpose, bitDepth );
if( needUpsampling )
{
predictionUpsampling( result, reducedPred );
}
}
void PredictorMIP::initPredBlockParams(const Size& block)
{
m_blockSize = block;
// init size index
m_sizeId = getMipSizeId( m_blockSize );
// init reduced boundary size
m_reducedBdrySize = (m_sizeId == 0) ? 2 : 4;
// init reduced prediction size
m_reducedPredSize = ( m_sizeId < 2 ) ? 4 : 8;
// init upsampling factors
m_upsmpFactorHor = m_blockSize.width / m_reducedPredSize;
m_upsmpFactorVer = m_blockSize.height / m_reducedPredSize;
CHECKD( (m_upsmpFactorHor < 1) || ((m_upsmpFactorHor & (m_upsmpFactorHor - 1)) != 0), "Need power of two horizontal upsampling factor." );
CHECKD( (m_upsmpFactorVer < 1) || ((m_upsmpFactorVer & (m_upsmpFactorVer - 1)) != 0), "Need power of two vertical upsampling factor." );
}
void PredictorMIP::boundaryDownsampling1D(Pel* reducedDst, const Pel* const fullSrc, const SizeType srcLen, const SizeType dstLen)
{
if (dstLen < srcLen)
{
// Create reduced boundary by downsampling
const SizeType downsmpFactor = srcLen / dstLen;
const int log2DownsmpFactor = getLog2(downsmpFactor);
const int roundingOffset = (1 << (log2DownsmpFactor - 1));
SizeType srcIdx = 0;
for( SizeType dstIdx = 0; dstIdx < dstLen; dstIdx++ )
{
int sum = 0;
for( int k = 0; k < downsmpFactor; k++ )
{
sum += fullSrc[srcIdx++];
}
reducedDst[dstIdx] = (sum + roundingOffset) >> log2DownsmpFactor;
}
}
else
{
memcpy( reducedDst, fullSrc, dstLen * sizeof( Pel ) );
}
}
void PredictorMIP::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 Pel log2UpsmpFactor = getLog2( upsmpFactor );
CHECKD( upsmpFactor <= 1, "Upsampling factor must be at least 2." );
const int roundingOffset = 1 << ( log2UpsmpFactor - 1 );
const Pel* srcLine = src;
Pel* dstLine = dst;
const Pel* bndryLine = bndry + bndryStep - 1;
for( int k = 0; k < srcSizeOrthDim; k++ )
{
const Pel* before = bndryLine;
const Pel* behind = srcLine;
Pel* currDst = dstLine;
for( int j = 0; j < srcSizeUpsmpDim; j++ )
{
Pel valBehind = *behind;
Pel valBefore = *before;
Pel valDiff = valBehind - valBefore;
Pel scaledVal = ( valBefore << log2UpsmpFactor ) + roundingOffset;
for( int i = 0; i < upsmpFactor; i++ )
{
scaledVal += valDiff;
*currDst = scaledVal >> log2UpsmpFactor;
currDst += dstStep;
}
before = behind;
behind += srcStep;
}
srcLine += srcStride;
dstLine += dstStride;
bndryLine += bndryStep;
}
}
void PredictorMIP::predictionUpsampling( Pel* const dst, const Pel* const src ) const
{
const Pel* verSrc = src;
SizeType verSrcStep = m_blockSize.width;
if( m_upsmpFactorHor > 1 )
{
Pel* const horDst = dst + (m_upsmpFactorVer - 1) * m_blockSize.width;
verSrc = horDst;
verSrcStep *= m_upsmpFactorVer;
predictionUpsampling1D( horDst, src, m_refSamplesLeft,
m_reducedPredSize, m_reducedPredSize,
1, m_reducedPredSize, 1, verSrcStep,
m_upsmpFactorVer, m_upsmpFactorHor );
}
if( m_upsmpFactorVer > 1 )
{
predictionUpsampling1D( dst, verSrc, m_refSamplesTop,
m_reducedPredSize, m_blockSize.width,
verSrcStep, 1, m_blockSize.width, 1,
1, m_upsmpFactorVer );
}
}
const uint8_t* PredictorMIP::getMatrixData(const int modeIdx) const
{
switch( m_sizeId )
{
case 0: return &mipMatrix4x4[modeIdx][0][0];
case 1: return &mipMatrix8x8[modeIdx][0][0];
case 2: return &mipMatrix16x16[modeIdx][0][0];
default: THROW( "Invalid mipSizeId" );
}
}
void PredictorMIP::computeReducedPred( Pel*const result, const Pel* const input,
const uint8_t* matrix,
const bool transpose, const int bitDepth )
{
const int inputSize = 2 * m_reducedBdrySize;
// use local buffer for transposed result
Pel resBufTransposed[MIP_MAX_REDUCED_OUTPUT_SAMPLES];
Pel*const resPtr = (transpose) ? resBufTransposed : result;
int sum = 0;
for( int i = 0; i < inputSize; i++ ) { sum += input[i]; }
const int offset = (1 << (MIP_SHIFT_MATRIX - 1)) - MIP_OFFSET_MATRIX * sum;
CHECK_RECOVERABLE( inputSize != 4 * (inputSize >> 2), "Error, input size not divisible by four" );
const uint8_t *weight = matrix;
const int inputOffset = transpose ? m_inputOffsetTransp : m_inputOffset;
const bool redSize = (m_sizeId == 2);
int posRes = 0;
for( int y = 0; y < m_reducedPredSize; y++ )
{
for( int x = 0; x < m_reducedPredSize; x++ )
{
if( redSize ) weight -= 1;
int tmp0 = redSize ? 0 : (input[0] * weight[0]);
int tmp1 = input[1] * weight[1];
int tmp2 = input[2] * weight[2];
int tmp3 = input[3] * weight[3];
for (int i = 4; i < inputSize; i += 4)
{
tmp0 += input[i] * weight[i];
tmp1 += input[i + 1] * weight[i + 1];
tmp2 += input[i + 2] * weight[i + 2];
tmp3 += input[i + 3] * weight[i + 3];
}
resPtr[posRes++] = ClipBD<int>(((tmp0 + tmp1 + tmp2 + tmp3 + offset) >> MIP_SHIFT_MATRIX) + inputOffset, bitDepth);
weight += inputSize;
}
}
if( transpose )
{
for( int y = 0; y < m_reducedPredSize; y++ )
{
for( int x = 0; x < m_reducedPredSize; x++ )
{
result[ y * m_reducedPredSize + x ] = resPtr[ x * m_reducedPredSize + y ];
}
}
}
}
} // namespace Mip
MatrixIntraPrediction::MatrixIntraPrediction()
{
}
void MatrixIntraPrediction::prepareInputForPred(const CPelBuf &src, const Area& puArea, const int bitDepth, const ComponentID compId)
{
m_component = compId;
m_predictorMip.deriveBoundaryData(src, puArea, bitDepth);
}
void MatrixIntraPrediction::predBlock( const Size &puSize, const int intraMode, PelBuf& dst, const bool transpose, const int bitDepth, const ComponentID compId, Pel* const resultMip )
{
CHECK_RECOVERABLE( m_component != compId, "Boundary has not been prepared for this component." );
m_predictorMip.getPrediction( resultMip, intraMode, transpose, bitDepth );
for( int y = 0; y < puSize.height; y++ )
{
Pel* const resultLine = &resultMip[y * puSize.width];
Pel* dstLine = dst.bufAt( 0, y );
for( int x = 0; x < puSize.width; x += 4 )
{
dstLine[x + 0] = Pel( resultLine[x + 0] );
dstLine[x + 1] = Pel( resultLine[x + 1] );
dstLine[x + 2] = Pel( resultLine[x + 2] );
dstLine[x + 3] = Pel( resultLine[x + 3] );
}
}
}
}
↑ V730 Not all members of a class are initialized inside the constructor. Consider inspecting: m_reducedBoundary, m_reducedBoundaryTransposed, m_inputOffset, m_inputOffsetTransp, m_refSamplesTop, m_refSamplesLeft.