【VTM10.0】帧内之MIP技术

MIP （Matrix weighted Intra Prediction，基于矩阵的帧内预测）
矩阵：根据不同块大小，分别预先训练出不同的多组矩阵，存在ROM中；
向量：将参考像素的一部分进行一些处理，排成一维向量；
通过矩阵与向量相乘进行帧内预测，得到当前块的预测值。

其预测过程可以分为三步，以大小为8 x 8的CU为例：
ROM中矩阵规模为[16 x 8]，待输入向量规模为[8 x 1]，经过矩阵相乘后得到16个预测值。

在这里插入图片描述
MIP初始化代码：

void IntraPrediction::initIntraMip( const PredictionUnit &pu, const CompArea &area )
{
  CHECK( area.width > MIP_MAX_WIDTH || area.height > MIP_MAX_HEIGHT, "Error: block size not supported for MIP" );

  // prepare input (boundary) data for prediction
  CHECK( m_ipaParam.refFilterFlag, "ERROR: unfiltered refs expected for MIP" );
  Pel       *ptrSrc     = getPredictorPtr(area.compID);
  const int  srcStride  = m_refBufferStride[area.compID];
  const int  srcHStride = 2;//高度，用于下一列

  m_matrixIntraPred.prepareInputForPred(CPelBuf(ptrSrc, srcStride, srcHStride), area,
                                        pu.cu->slice->getSPS()->getBitDepth(toChannelType(area.compID)), area.compID);
}

函数中调用了prepareInputForPred函数。

void MatrixIntraPrediction::prepareInputForPred(const CPelBuf &pSrc, const Area &block, const int bitDepth,
                                                const ComponentID compId)
{
  m_component = compId;

  // Step 1: Save block size and calculate dependent values
  //步骤1，保存块的大小，并且计算依赖的values
  //计算m_reducedBdrySize和m_reducedPredSize的大小，以及需要结束后上采样的规模
  initPredBlockParams(block);

  // Step 2: Get the input data (left and top reference samples)
  //步骤2，获得输入的数据（上和左的参考像素）
  m_refSamplesTop.resize(block.width);
  for (int x = 0; x < block.width; x++)
  {//获得上边的参考像素
    m_refSamplesTop[x] = pSrc.at(x + 1, 0);
  }

  m_refSamplesLeft.resize(block.height);
  for (int y = 0; y < block.height; y++)
  {//获得左边的参考像素
    m_refSamplesLeft[y] = pSrc.at(y + 1, 1);
  }

  // Step 3: Compute the reduced boundary via Haar-downsampling (input for the prediction)
  //步骤3，计算下采样后的边界（预测，MIP的输入）
  const int inputSize = 2 * m_reducedBdrySize;
  m_reducedBoundary          .resize( inputSize );//下采样后的参考像素存放位置
  m_reducedBoundaryTransposed.resize( inputSize );//下采样后的参考像素转置的存放位置

  //对上方边界进行下采样
  int* const topReduced = m_reducedBoundary.data();
  boundaryDownsampling1D( topReduced, m_refSamplesTop.data(), block.width, m_reducedBdrySize );
  //对左边边界进行下采样
  int* const leftReduced = m_reducedBoundary.data() + m_reducedBdrySize;
  boundaryDownsampling1D( leftReduced, m_refSamplesLeft.data(), block.height, m_reducedBdrySize );

 
  int* const leftReducedTransposed = m_reducedBoundaryTransposed.data();
  int* const topReducedTransposed  = m_reducedBoundaryTransposed.data() + m_reducedBdrySize;
  for( int x = 0; x < m_reducedBdrySize; x++ )
  {//看着不像转置了啊？（好像转置只是对预测块内转置，参考像素不用转置，这里应该只是改了个名字）
    topReducedTransposed[x] = topReduced[x];
  }
  for( int y = 0; y < m_reducedBdrySize; y++ )
  {
    leftReducedTransposed[y] = leftReduced[y];
  }

  // Step 4: Rebase the reduced boundary
  //步骤4，重新基础化下采样后的边界
  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;
  }
}

Step 1中调用了initPredBlockParams函数，主要功能是计算m_reducedBdrySize和m_reducedPredSize的大小，以及需要结束后上采样的规模

void MatrixIntraPrediction::initPredBlockParams(const Size& block)
{
  m_blockSize = block;
  // init size index
  m_sizeId = getMipSizeId( m_blockSize );

  // init reduced boundary size
  //根据块的大小，获得边界需要的像素点个数
  m_reducedBdrySize = (m_sizeId == 0) ? 2 : 4;

  // init reduced prediction size
  //根据块的大小，获得预测块需要的像素点个数
  m_reducedPredSize = ( m_sizeId < 2 ) ? 4 : 8;


  // init upsampling factors
  //获取上采样的规模
  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." );
}

然后在predIntraMip中进行了MIP块内预测值的计算

void IntraPrediction::predIntraMip( const ComponentID compId, PelBuf &piPred, const PredictionUnit &pu )
{
  CHECK( piPred.width > MIP_MAX_WIDTH || piPred.height > MIP_MAX_HEIGHT, "Error: block size not supported for MIP" );
  CHECK( piPred.width != (1 << floorLog2(piPred.width)) || piPred.height != (1 << floorLog2(piPred.height)), "Error: expecting blocks of size 2^M x 2^N" );

  // generate mode-specific prediction
  uint32_t modeIdx       = MAX_NUM_MIP_MODE;
  bool     transposeFlag = false;
  if (compId == COMPONENT_Y)
  {//如果当前是亮度模式
    modeIdx       = pu.intraDir[CHANNEL_TYPE_LUMA];//modeIdx不是为MIP吗？？
    transposeFlag = pu.mipTransposedFlag;
  }
  else
  {//如果不是亮度模式，但是这一段代码好像没有用上（色度没有MIP模式）
    const PredictionUnit &coLocatedLumaPU = PU::getCoLocatedLumaPU(pu);

    CHECK(pu.intraDir[CHANNEL_TYPE_CHROMA] != DM_CHROMA_IDX, "Error: MIP is only supported for chroma with DM_CHROMA.");
    CHECK(!coLocatedLumaPU.cu->mipFlag, "Error: Co-located luma CU should use MIP.");

    modeIdx       = coLocatedLumaPU.intraDir[CHANNEL_TYPE_LUMA];
    transposeFlag = coLocatedLumaPU.mipTransposedFlag;
  }
  const int bitDepth = pu.cu->slice->getSPS()->getBitDepth(toChannelType(compId));

  CHECK(modeIdx >= getNumModesMip(piPred), "Error: Wrong MIP mode index");

  static_vector<int, MIP_MAX_WIDTH* MIP_MAX_HEIGHT> predMip( piPred.width * piPred.height );
  m_matrixIntraPred.predBlock(predMip.data(), modeIdx, transposeFlag, bitDepth, compId);//调用predBlock进行MIP预测，结果放到predMip中

  //将predMip中的结果转到piPred中
  for( int y = 0; y < piPred.height; y++ )
  {
    for( int x = 0; x < piPred.width; x++ )
    {
      piPred.at( x, y ) = Pel(predMip[y * piPred.width + x]);
    }
  }
}

predBlock函数进行MIP主要计算的计算部分

void MatrixIntraPrediction::predBlock(int *const result, const int modeIdx, const bool transpose, const int bitDepth,
                                      const ComponentID compId)
{//
  CHECK(m_component != compId, "Boundary has not been prepared for this component.");

  //是否需要上采样
  const bool needUpsampling = ( m_upsmpFactorHor > 1 ) || ( m_upsmpFactorVer > 1 );

  //获取MIP矩阵
  const uint8_t* matrix = getMatrixData(modeIdx);

  static_vector<int, MIP_MAX_REDUCED_OUTPUT_SAMPLES> bufReducedPred( m_reducedPredSize * m_reducedPredSize );
  int* const       reducedPred     = needUpsampling ? bufReducedPred.data() : result;
  const int* const reducedBoundary = transpose ? m_reducedBoundaryTransposed.data() : m_reducedBoundary.data();
  //计算MIP后的结果
  computeReducedPred(reducedPred, reducedBoundary, matrix, transpose, bitDepth);
  if( needUpsampling )
  {//进行上采样
    predictionUpsampling( result, reducedPred );
  }
}

【VTM10.0】帧内之MIP技术

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