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/** \file     EncReshape.cpp

\brief    encoder reshaper class

*/

#include "EncReshape.h"

#include "CommonLib/Picture.h"

#include <stdio.h>

#include <string.h>

#include <math.h>

//! \ingroup EncLib

//! \{

namespace vvenc {

// ====================================================================================================================

// Constructor / destructor / create / destroy

// ====================================================================================================================

EncReshape::EncReshape()

  : m_exceedSTD     (false)

  , m_binImportance ()

  , m_tcase         (0)

  , m_rateAdpMode   (0)

  , m_useAdpCW      (false)

  , m_initCWAnalyze (0)

  , m_reshapeCW     ()

  , m_cwLumaWeight  {0}

  , m_chromaWeight  (1.0)

  , m_chromaAdj     (0)

  , m_binNum        (0)

  , m_srcSeqStats   ()

  , m_rspSeqStats   ()

{

  m_CTUFlag      = false;

  m_reshape      = true;

  m_exceedSTD    = false;

  m_signalType   = RESHAPE_SIGNAL_NULL;

}

EncReshape::~EncReshape()

{

}

void  EncReshape::init( const VVEncCfg& encCfg )

{

  if ( encCfg.m_lumaReshapeEnable )

  {

    m_lumaBD = encCfg.m_internalBitDepth[ CH_L ];

    m_reshapeLUTSize = 1 << m_lumaBD;

    m_rspBaseQP = encCfg.m_QP;

    m_initCWAnalyze = m_reshapeLUTSize / PIC_ANALYZE_CW_BINS;

    m_initCW = m_reshapeLUTSize / PIC_CODE_CW_BINS;

#if defined( TARGET_SIMD_X86 ) && ENABLE_SIMD_OPT_BUFFER

    if( m_fwdLUT.empty() )

      m_fwdLUT.resize( m_reshapeLUTSize + 2, 0 );

    if( m_invLUT.empty() )

      m_invLUT.resize( m_reshapeLUTSize + 2, 0 );

#else

    if( m_fwdLUT.empty() )

      m_fwdLUT.resize( m_reshapeLUTSize, 0 );

    if( m_invLUT.empty() )

      m_invLUT.resize( m_reshapeLUTSize, 0 );

#endif

    if (m_binCW.empty())

      m_binCW.resize(PIC_ANALYZE_CW_BINS);

    if (m_binImportance.empty())

      m_binImportance.resize(PIC_ANALYZE_CW_BINS);

    if (m_reshapePivot.empty())

      m_reshapePivot.resize(PIC_CODE_CW_BINS + 1, 0);

    if (m_inputPivot.empty())

      m_inputPivot.resize(PIC_CODE_CW_BINS + 1, 0);

    if (m_fwdScaleCoef.empty())

      m_fwdScaleCoef.resize(PIC_CODE_CW_BINS, 1 << FP_PREC);

    if (m_invScaleCoef.empty())

      m_invScaleCoef.resize(PIC_CODE_CW_BINS, 1 << FP_PREC);

    if (m_chromaAdjHelpLUT.empty())

      m_chromaAdjHelpLUT.resize(PIC_CODE_CW_BINS, 1<<CSCALE_FP_PREC);

    m_sliceReshapeInfo.sliceReshaperEnabled      = true;

    m_sliceReshapeInfo.sliceReshaperModelPresent = true;

    m_sliceReshapeInfo.enableChromaAdj           = true;

    m_sliceReshapeInfo.reshaperModelMinBinIdx    = 0;

    m_sliceReshapeInfo.reshaperModelMaxBinIdx    = PIC_CODE_CW_BINS - 1;

    memset(m_sliceReshapeInfo.reshaperModelBinCWDelta, 0, (PIC_CODE_CW_BINS) * sizeof(int));

    m_sliceReshapeInfo.maxNbitsNeededDeltaCW     = 0;

    m_sliceReshapeInfo.chrResScalingOffset       = 0;

    m_binNum = PIC_CODE_CW_BINS;

    m_srcSeqStats = SeqInfo();

    m_rspSeqStats = SeqInfo();

    m_signalType = encCfg.m_reshapeSignalType;

    m_chromaWeight = 1.0;

    initLumaLevelToWeightTableReshape();

  }

  else if (encCfg.m_lumaLevelToDeltaQPEnabled )

  {

    m_lumaBD = encCfg.m_internalBitDepth[ CH_L ];

    m_reshapeLUTSize = 1 << m_lumaBD;

    m_initCWAnalyze = m_reshapeLUTSize / PIC_ANALYZE_CW_BINS;

    m_initCW = m_reshapeLUTSize / PIC_CODE_CW_BINS;

    m_signalType = RESHAPE_SIGNAL_PQ;

    m_chromaWeight = 1.0;

    initLumaLevelToWeightTableReshape();

  }

}

void  EncReshape::destroy()

{

}

/**

-Perform HDR set up

\param   pcPic describe pointer of current coding picture

\param   sliceType describe the slice type

*/

void EncReshape::preAnalyzerHDR(Picture& pic, const SliceType sliceType, const vvencReshapeCW& reshapeCW)

{

  if (m_lumaBD >= 10)

  {

    m_sliceReshapeInfo.sliceReshaperEnabled = true;

    m_sliceReshapeInfo.sliceReshaperModelPresent = (sliceType == VVENC_I_SLICE );

    m_sliceReshapeInfo.enableChromaAdj = 1;

  }

  else

  {

    m_sliceReshapeInfo.sliceReshaperEnabled = false;

    m_sliceReshapeInfo.sliceReshaperModelPresent = false;

  }

}

/**

-Perform picture analysis for SDR

\param   pcPic describe pointer of current coding picture

\param   sliceType describe the slice type

\param   reshapeCW describe some input info

*/

void EncReshape::calcSeqStats(Picture& pic, SeqInfo &stats)

{

  CPelBuf picY     = pic.getOrigBuf(COMP_Y);

  const int width  = picY.width;

  const int height = picY.height;

  const int stride = picY.stride;

  uint32_t winLens = (m_binNum == PIC_CODE_CW_BINS) ? (std::min(height, width) / 240) : 2;

  winLens = winLens > 0 ? winLens : 1;

  int64_t tempSq  = 0;

  int64_t topSum  = 0,  topSumSq = 0;

  int64_t leftSum = 0, leftSumSq = 0;

  int64_t *leftColSum   = new int64_t[width];

  int64_t *leftColSumSq = new int64_t[width];

  int64_t *topRowSum    = new int64_t[height];

  int64_t *topRowSumSq  = new int64_t[height];

  int64_t *topColSum    = new int64_t[width];

  int64_t *topColSumSq  = new int64_t[width];

  uint32_t *binCnt      = new uint32_t[m_binNum];

  memset(leftColSum,   0, width * sizeof(int64_t));

  memset(leftColSumSq, 0, width * sizeof(int64_t));

  memset(topRowSum,    0, height * sizeof(int64_t));

  memset(topRowSumSq,  0, height * sizeof(int64_t));

  memset(topColSum,    0, width * sizeof(int64_t));

  memset(topColSumSq,  0, width * sizeof(int64_t));

  memset(binCnt,       0, m_binNum * sizeof(uint32_t));

  stats = SeqInfo();

  for (uint32_t y = 0; y < height; y++)

  {

    for (uint32_t x = 0; x < width; x++)

    {

      const Pel pxlY = picY.buf[x];

      int64_t sum = 0, sumSq = 0;

      uint32_t numPixInPart = 0;

      uint32_t y1 = std::max((int)(y - winLens), 0);

      uint32_t y2 = std::min((int)(y + winLens), (height - 1));

      uint32_t x1 = std::max((int)(x - winLens), 0);

      uint32_t x2 = std::min((int)(x + winLens), (width - 1));

      uint32_t bx = 0, by = 0;

      const Pel* pWinY = &picY.buf[0];

      numPixInPart = (x2 - x1 + 1) * (y2 - y1 + 1);

      if (x == 0 && y == 0)

      {

        for (by = y1; by <= y2; by++)

        {

          for (bx = x1; bx <= x2; bx++)

          {

            tempSq =  (int64_t)pWinY[bx] *  (int64_t)pWinY[bx];

            leftSum += pWinY[bx];

            leftSumSq += tempSq;

            leftColSum[bx] += pWinY[bx];

            leftColSumSq[bx] += tempSq;

            topColSum[bx] += pWinY[bx];

            topColSumSq[bx] += tempSq;

            topRowSum[by] += pWinY[bx];

            topRowSumSq[by] += tempSq;

          }

          pWinY += stride;

        }

        topSum = leftSum;

        topSumSq = leftSumSq;

        sum = leftSum;

        sumSq = leftSumSq;

      }

      else if (x == 0 && y > 0)

      {

        if (y < height - winLens)

        {

          pWinY += winLens*stride;

          topRowSum[y + winLens] = 0;

          topRowSumSq[y + winLens] = 0;

          for (bx = x1; bx <= x2; bx++)

          {

            topRowSum[y + winLens] += pWinY[bx];

            topRowSumSq[y + winLens] +=  (int64_t)pWinY[bx] *  (int64_t)pWinY[bx];

          }

          topSum += topRowSum[y + winLens];

          topSumSq += topRowSumSq[y + winLens];

        }

        if (y > winLens)

        {

          topSum -= topRowSum[y - 1 - winLens];

          topSumSq -= topRowSumSq[y - 1 - winLens];

        }

        memset(leftColSum, 0, width * sizeof(int64_t));

        memset(leftColSumSq, 0, width * sizeof(int64_t));

        pWinY = &picY.buf[0];

        pWinY -= (y <= winLens ? y : winLens)*stride;

        for (by = y1; by <= y2; by++)

        {

          for (bx = x1; bx <= x2; bx++)

          {

            leftColSum[bx] += pWinY[bx];

            leftColSumSq[bx] +=  (int64_t)pWinY[bx] *  (int64_t)pWinY[bx];

          }

          pWinY += stride;

        }

        leftSum = topSum;

        leftSumSq = topSumSq;

        sum = topSum;

        sumSq = topSumSq;

      }

      else if (x > 0)

      {

        if (x < width - winLens)

        {

          pWinY -= (y <= winLens ? y : winLens)*stride;

          if (y == 0)

          {

            leftColSum[x + winLens] = 0;

            leftColSumSq[x + winLens] = 0;

            for (by = y1; by <= y2; by++)

            {

              leftColSum[x + winLens] += pWinY[x + winLens];

              leftColSumSq[x + winLens] +=  (int64_t)pWinY[x + winLens] *  (int64_t)pWinY[x + winLens];

              pWinY += stride;

            }

          }

          else

          {

            leftColSum[x + winLens] = topColSum[x + winLens];

            leftColSumSq[x + winLens] = topColSumSq[x + winLens];

            if (y < height - winLens)

            {

              pWinY = &picY.buf[0];

              pWinY += winLens * stride;

              leftColSum[x + winLens] += pWinY[x + winLens];

              leftColSumSq[x + winLens] +=  (int64_t)pWinY[x + winLens] *  (int64_t)pWinY[x + winLens];

            }

            if (y > winLens)

            {

              pWinY = &picY.buf[0];

              pWinY -= (winLens + 1) * stride;

              leftColSum[x + winLens] -= pWinY[x + winLens];

              leftColSumSq[x + winLens] -=  (int64_t)pWinY[x + winLens] *  (int64_t)pWinY[x + winLens];

            }

          }

          topColSum[x + winLens] = leftColSum[x + winLens];

          topColSumSq[x + winLens] = leftColSumSq[x + winLens];

          leftSum += leftColSum[x + winLens];

          leftSumSq += leftColSumSq[x + winLens];

        }

        if (x > winLens)

        {

          leftSum -= leftColSum[x - 1 - winLens];

          leftSumSq -= leftColSumSq[x - 1 - winLens];

        }

        sum = leftSum;

        sumSq = leftSumSq;

      }

      double average = double(sum) / numPixInPart;

      double variance = double(sumSq) / numPixInPart - average * average;

      int binLen = m_reshapeLUTSize / m_binNum;

      uint32_t binIdx = (uint32_t)(pxlY / binLen);

      if (m_lumaBD > 10)

      {

        average = average / (double)(1 << (m_lumaBD - 10));

        variance = variance / (double)(1 << (2 * m_lumaBD - 20));

      }

      else if (m_lumaBD < 10)

      {

        average = average * (double)(1 << (10 - m_lumaBD));

        variance = variance * (double)(1 << (20 - 2 * m_lumaBD));

      }

      double varLog10 = log10(variance + 1.0);

      stats.binVar[binIdx] += varLog10;

      binCnt[binIdx]++;

    }

    picY.buf += stride;

  }

  for (int b = 0; b < m_binNum; b++)

  {

    stats.binHist[b] = (double)binCnt[b] / (double)(m_reshapeCW.rspPicSize);

    stats.binVar[b] = (binCnt[b] > 0) ? (stats.binVar[b] / binCnt[b]) : 0.0;

  }

  delete[] binCnt;

  delete[] topColSum;

  delete[] topColSumSq;

  delete[] topRowSum;

  delete[] topRowSumSq;

  delete[] leftColSum;

  delete[] leftColSumSq;

  stats.minBinVar = 5.0;

  stats.maxBinVar = 0.0;

  stats.meanBinVar = 0.0;

  stats.nonZeroCnt = 0;

  for (int b = 0; b < m_binNum; b++)

  {

    if (stats.binHist[b] > 0.001)

    {

      stats.nonZeroCnt++;

      stats.meanBinVar += stats.binVar[b];

      if (stats.binVar[b] > stats.maxBinVar) { stats.maxBinVar = stats.binVar[b]; }

      if (stats.binVar[b] < stats.minBinVar) { stats.minBinVar = stats.binVar[b]; }

    }

  }

  stats.meanBinVar /= (double)stats.nonZeroCnt;

  for (int b = 0; b < m_binNum; b++)

  {

    if (stats.meanBinVar > 0.0)

      stats.normVar[b] = stats.binVar[b] / stats.meanBinVar;

    stats.weightVar += stats.binHist[b] * stats.binVar[b];

    stats.weightNorm += stats.binHist[b] * stats.normVar[b];

  }

  picY = pic.getOrigBuf(COMP_Y);

  double avgY = 0.0, avgU = 0.0, avgV = 0.0;

  double varY = 0.0, varU = 0.0, varV = 0.0;

  for (int y = 0; y < height; y++)

  {

    for (int x = 0; x < width; x++)

    {

      avgY += picY.buf[x];

      varY += (double)picY.buf[x] * (double)picY.buf[x];

    }

    picY.buf += stride;

  }

  if( pic.chromaFormat != VVENC_CHROMA_400 )

  {

    CPelBuf picU = pic.getOrigBuf(COMP_Cb);

    CPelBuf picV = pic.getOrigBuf(COMP_Cr);

    const int widthC = picU.width;

    const int heightC = picU.height;

    const int strideC = picU.stride;

    for (int y = 0; y < heightC; y++)

    {

      for (int x = 0; x < widthC; x++)

      {

        avgU += picU.buf[x];

        avgV += picV.buf[x];

        varU += (int64_t)picU.buf[x] * (int64_t)picU.buf[x];

        varV += (int64_t)picV.buf[x] * (int64_t)picV.buf[x];

      }

      picU.buf += strideC;

      picV.buf += strideC;

    }

    avgY = avgY / (width * height);

    avgU = avgU / (widthC * heightC);

    avgV = avgV / (widthC * heightC);

    varY = varY / (width * height) - avgY * avgY;

    varU = varU / (widthC * heightC) - avgU * avgU;

    varV = varV / (widthC * heightC) - avgV * avgV;

    if (varY > 0)

    {

      stats.ratioStdU = sqrt(varU) / sqrt(varY);

      stats.ratioStdV = sqrt(varV) / sqrt(varY);

    }

  }

}

void EncReshape::preAnalyzerLMCS(Picture& pic, const uint32_t signalType, const SliceType sliceType, const vvencReshapeCW& reshapeCW)

{

  m_sliceReshapeInfo.sliceReshaperModelPresent = true;

  m_sliceReshapeInfo.sliceReshaperEnabled = true;

  int modIP = pic.getPOC() - pic.getPOC() / reshapeCW.rspFpsToIp * reshapeCW.rspFpsToIp;

  if (sliceType == VVENC_I_SLICE || (reshapeCW.updateCtrl == 2 && modIP == 0))

  {

    if (m_sliceReshapeInfo.sliceReshaperModelPresent == true)

    {

      m_reshapeCW = reshapeCW;

      m_binNum = PIC_CODE_CW_BINS;

      int stdMin = 16 << (m_lumaBD - 8);

      int stdMax = 235 << (m_lumaBD - 8);

      int binLen = m_reshapeLUTSize / m_binNum;

      int startBinIdx = stdMin / binLen;

      int endBinIdx = stdMax / binLen;

      m_sliceReshapeInfo.reshaperModelMinBinIdx = startBinIdx;

      m_sliceReshapeInfo.reshaperModelMaxBinIdx = endBinIdx;

      m_initCWAnalyze = m_lumaBD > 10 ? (binLen >> (m_lumaBD - 10)) : m_lumaBD < 10 ? (binLen << (10 - m_lumaBD)) : binLen;

      for (int b = 0; b < m_binNum; b++) { m_binCW[b] = m_initCWAnalyze; }

      m_reshape = true;

      m_useAdpCW = false;

      m_exceedSTD = false;

      m_chromaWeight = 1.0;

      m_sliceReshapeInfo.enableChromaAdj = 1;

      m_rateAdpMode = 0;  m_tcase = 0;

      bool intraAdp = true, interAdp = true;

      calcSeqStats(pic, m_srcSeqStats);

      if (m_binNum == PIC_CODE_CW_BINS)

      {

        if ((m_srcSeqStats.binHist[0] + m_srcSeqStats.binHist[m_binNum - 1]) > 0.005) { m_exceedSTD = true; }

        if (m_srcSeqStats.binHist[m_binNum - 1] > 0.0003) { intraAdp = false;  interAdp = false; }

        if (m_srcSeqStats.binHist[0] > 0.03) { intraAdp = false;  interAdp = false; }

      }

      else if (m_binNum == PIC_ANALYZE_CW_BINS)

      {

        if ((m_srcSeqStats.binHist[0] + m_srcSeqStats.binHist[1] + m_srcSeqStats.binHist[m_binNum - 2] + m_srcSeqStats.binHist[m_binNum - 1]) > 0.01) { m_exceedSTD = true; }

        if ((m_srcSeqStats.binHist[m_binNum - 2] + m_srcSeqStats.binHist[m_binNum - 1]) > 0.0003) { intraAdp = false;  interAdp = false; }

        if ((m_srcSeqStats.binHist[0] + m_srcSeqStats.binHist[1]) > 0.03) { intraAdp = false;  interAdp = false; }

      }

      if (m_exceedSTD)

      {

        for (int i = 0; i < m_binNum; i++)

        {

          if (m_srcSeqStats.binHist[i] > 0 && i < startBinIdx) { startBinIdx = i; }

          if (m_srcSeqStats.binHist[i] > 0 && i > endBinIdx) { endBinIdx = i; }

        }

        m_sliceReshapeInfo.reshaperModelMinBinIdx = startBinIdx;

        m_sliceReshapeInfo.reshaperModelMaxBinIdx = endBinIdx;

      }

      if ((m_srcSeqStats.ratioStdU + m_srcSeqStats.ratioStdV) > 1.5 && m_srcSeqStats.binHist[1] > 0.5) { intraAdp = false;  interAdp = false; }

      if (m_srcSeqStats.ratioStdU > 0.36 && m_srcSeqStats.ratioStdV > 0.2 && m_reshapeCW.rspPicSize > 5184000)

      {

        m_sliceReshapeInfo.enableChromaAdj = 0; m_chromaWeight = 1.05;

        if ((m_srcSeqStats.ratioStdU + m_srcSeqStats.ratioStdV) < 0.69) { m_chromaWeight = 0.95; }

      }

      if (interAdp)

      {

        if (m_reshapeCW.adpOption)

        {

          m_reshapeCW.binCW[0] = 0; m_reshapeCW.binCW[1] = m_reshapeCW.initialCW;

          m_rateAdpMode = m_reshapeCW.adpOption - 2 * (m_reshapeCW.adpOption / 2);

          if (m_reshapeCW.adpOption == 2) { m_tcase = 9; }

          else if (m_reshapeCW.adpOption > 2) { intraAdp = false; }

        }

        else if (signalType == RESHAPE_SIGNAL_SDR)

        {

          m_reshapeCW.binCW[0] = 0; m_reshapeCW.binCW[1] = 1022;

          deriveReshapeParametersSDR(&intraAdp, &interAdp);

        }

        else if (signalType == RESHAPE_SIGNAL_HLG)

        {

          if (m_reshapeCW.updateCtrl == 0)

          {

            m_rateAdpMode = 0;  m_tcase = 9;

            m_reshapeCW.binCW[1] = 952;

            if (m_srcSeqStats.meanBinVar < 2.5) { m_reshapeCW.binCW[1] = 840; }

          }

          else

          {

            m_useAdpCW = true;

            m_rateAdpMode = 2;

            if (m_binNum == PIC_CODE_CW_BINS) { m_reshapeCW.binCW[0] = 72;  m_reshapeCW.binCW[1] = 58; }

            else if (m_binNum == PIC_ANALYZE_CW_BINS) { m_reshapeCW.binCW[0] = 36;  m_reshapeCW.binCW[1] = 30; }

            if (m_srcSeqStats.meanBinVar < 2.5) { intraAdp = false; interAdp = false; }

          }

        }

      }

      if (m_rateAdpMode == 2 && m_rspBaseQP <= 22) { intraAdp = false; interAdp = false; }

      m_sliceReshapeInfo.sliceReshaperEnabled = intraAdp;

      if (!intraAdp && !interAdp)

      {

        m_sliceReshapeInfo.sliceReshaperModelPresent = false;

        m_reshape = false;

        return;

      }

      if (m_rateAdpMode == 1 && m_rspBaseQP <= 22)

      {

        for (int i = 0; i < m_binNum; i++)

        {

          if (i >= startBinIdx && i <= endBinIdx) { m_binCW[i] = m_initCWAnalyze + 2; }

          else { m_binCW[i] = 0; }

        }

      }

      else if (m_useAdpCW)

      {

        if (signalType == RESHAPE_SIGNAL_SDR && m_reshapeCW.updateCtrl == 2)

        {

          m_binNum = PIC_ANALYZE_CW_BINS;

          startBinIdx = startBinIdx * 2;

          endBinIdx = endBinIdx * 2 + 1;

          calcSeqStats(pic, m_srcSeqStats);

        }

        double alpha = 1.0, beta = 0.0;

        deriveReshapeParameters(m_srcSeqStats.binVar, startBinIdx, endBinIdx, m_reshapeCW, alpha, beta);

        for (int i = 0; i < m_binNum; i++)

        {

          if (i >= startBinIdx && i <= endBinIdx) { m_binCW[i] = (uint32_t)round(alpha*m_srcSeqStats.binVar[i] + beta); }

          else { m_binCW[i] = 0; }

        }

      }

      else

      {

        cwPerturbation(startBinIdx, endBinIdx, (uint16_t)m_reshapeCW.binCW[1]);

      }

      cwReduction(startBinIdx, endBinIdx);

    }

    m_chromaAdj = m_sliceReshapeInfo.enableChromaAdj;

  }

  else // Inter slices

  {

    m_sliceReshapeInfo.sliceReshaperModelPresent = false;

    m_sliceReshapeInfo.enableChromaAdj = m_chromaAdj;

    if (!m_reshape) { m_sliceReshapeInfo.sliceReshaperEnabled = false; }

    else

    {

      const int cTid = m_reshapeCW.rspTid;

      bool enableRsp = m_tcase == 5 ? false : (m_tcase < 5 ? (cTid < m_tcase + 1 ? false : true) : (cTid <= 10 - m_tcase ? true : false));

      m_sliceReshapeInfo.sliceReshaperEnabled = enableRsp;

      if( m_sliceReshapeInfo.sliceReshaperEnabled )

      {

        m_binNum = PIC_CODE_CW_BINS;

        CPelBuf picY = pic.getOrigBuf( COMP_Y );

        const int width = picY.width;

        const int height = picY.height;

        const int stride = picY.stride;

        uint32_t binCnt[PIC_CODE_CW_BINS];

        std::fill_n( binCnt, m_binNum, 0 );

        m_srcSeqStats = SeqInfo();

        for( uint32_t y = 0; y < height; y++ )

        {

          for( uint32_t x = 0; x < width; x++ )

          {

            const Pel pxlY = picY.buf[x];

            int binLen = m_reshapeLUTSize / m_binNum;

            uint32_t binIdx = ( uint32_t ) (pxlY / binLen);

            binCnt[binIdx]++;

          }

          picY.buf += stride;

        }

        for( int b = 0; b < m_binNum; b++ )

        {

          m_srcSeqStats.binHist[b] = ( double ) binCnt[b] / ( double ) (m_reshapeCW.rspPicSize);

        }

        if( m_srcSeqStats.binHist[m_binNum - 1] > 0.0003 )

        {

          m_sliceReshapeInfo.sliceReshaperEnabled = false;

        }

        if( m_srcSeqStats.binHist[0] > 0.03 )

        {

          m_sliceReshapeInfo.sliceReshaperEnabled = false;

        }

        if( m_sliceReshapeInfo.sliceReshaperEnabled )

        {

          double avgY = 0.0;

          double varY = 0.0;

          picY = pic.getOrigBuf( COMP_Y );

          for( int y = 0; y < height; y++ )

          {

            for( int x = 0; x < width; x++ )

            {

              avgY += picY.buf[x];

              varY += ( double ) picY.buf[x] * ( double ) picY.buf[x];

            }

            picY.buf += stride;

          }

          avgY = avgY / (width * height);

          varY = varY / (width * height) - avgY * avgY;

          if( isChromaEnabled( pic.chromaFormat ) )

          {

            CPelBuf picU = pic.getOrigBuf( COMP_Cb );

            CPelBuf picV = pic.getOrigBuf( COMP_Cr );

            const int widthC = picU.width;

            const int heightC = picU.height;

            const int strideC = picU.stride;

            double avgU = 0.0, avgV = 0.0;

            double varU = 0.0, varV = 0.0;

            for( int y = 0; y < heightC; y++ )

            {

              for( int x = 0; x < widthC; x++ )

              {

                avgU += picU.buf[x];

                avgV += picV.buf[x];

                varU += ( int64_t ) picU.buf[x] * ( int64_t ) picU.buf[x];

                varV += ( int64_t ) picV.buf[x] * ( int64_t ) picV.buf[x];

              }

              picU.buf += strideC;

              picV.buf += strideC;

            }

            avgU = avgU / (widthC * heightC);

            avgV = avgV / (widthC * heightC);

            varU = varU / (widthC * heightC) - avgU * avgU;

            varV = varV / (widthC * heightC) - avgV * avgV;

            if( varY > 0 )

            {

              m_srcSeqStats.ratioStdU = sqrt( varU ) / sqrt( varY );

              m_srcSeqStats.ratioStdV = sqrt( varV ) / sqrt( varY );

            }

          }

        }

        if( (m_srcSeqStats.ratioStdU + m_srcSeqStats.ratioStdV) > 1.5 && m_srcSeqStats.binHist[1] > 0.5 )

        {

          m_sliceReshapeInfo.sliceReshaperEnabled = false;

        }

      }

    }

  }

}

// Bubble Sort to  descending order with index

void EncReshape::bubbleSortDsd(double* array, int * idx, int n)

{

  int i, j;

  bool swapped;

  for (i = 0; i < n - 1; i++)

  {

    swapped = false;

    for (j = 0; j < n - i - 1; j++)

    {

      if (array[j] < array[j + 1])

      {

        std::swap(array[j], array[j + 1]);

        std::swap(idx[j], idx[j + 1]);

        swapped = true;

      }

    }

    if (swapped == false)

      break;

  }

}

void EncReshape::cwPerturbation(int startBinIdx, int endBinIdx, uint16_t maxCW)

{

  for (int i = 0; i < m_binNum; i++)

  {

    if (i >= startBinIdx && i <= endBinIdx) { m_binCW[i] = (uint32_t)round((double)maxCW / (endBinIdx - startBinIdx + 1)); }

    else { m_binCW[i] = 0; }

  }

  double hist = 0.0;

  uint16_t delta1 = 0, delta2 = 0;

  for (int i = 0; i < m_binNum; i++)

  {

    if (m_srcSeqStats.binHist[i] > 0.001)

    {

      hist = m_srcSeqStats.binHist[i] > 0.4 ? 0.4 : m_srcSeqStats.binHist[i];

      delta1 = (uint16_t)(10.0 * hist + 0.5);

      delta2 = (uint16_t)(20.0 * hist + 0.5);

      if (m_srcSeqStats.normVar[i] < 0.8) { m_binCW[i] = m_binCW[i] + delta2; }

      else if (m_srcSeqStats.normVar[i] < 0.9) { m_binCW[i] = m_binCW[i] + delta1; }

      if (m_srcSeqStats.normVar[i] > 1.2) { m_binCW[i] = m_binCW[i] - delta2; }

      else if (m_srcSeqStats.normVar[i] > 1.1) { m_binCW[i] = m_binCW[i] - delta1; }

    }

  }

}

void EncReshape::cwReduction(int startBinIdx, int endBinIdx)

{

  int bdShift = m_lumaBD - 10;

  int totCW = bdShift != 0 ? (bdShift > 0 ? m_reshapeLUTSize / (1 << bdShift) : m_reshapeLUTSize * (1 << (-bdShift))) : m_reshapeLUTSize;

  int maxAllowedCW = totCW - 1, usedCW = 0;

  for (int i = 0; i < m_binNum; i++) { usedCW += m_binCW[i]; }

  if (usedCW > maxAllowedCW)

  {

    int deltaCW = usedCW - maxAllowedCW;

    int divCW = deltaCW / (endBinIdx - startBinIdx + 1);

    int modCW = deltaCW - divCW * (endBinIdx - startBinIdx + 1);

    if (divCW > 0)

    {

      for (int i = startBinIdx; i <= endBinIdx; i++) { m_binCW[i] -= divCW; }

    }

    for (int i = startBinIdx; i <= endBinIdx; i++)

    {

      if (modCW == 0)  break;

      if (m_binCW[i] > 0) { m_binCW[i]--; modCW--; }

    }

  }

}

void EncReshape::deriveReshapeParametersSDR(bool *intraAdp, bool *interAdp)

{

  bool   isSkipCase = false;

  bool   isLowCase = false;

  int    firstBinVarLessThanVal1 = 0;

  int    firstBinVarLessThanVal2 = 0;

  int    firstBinVarLessThanVal3 = 0;

  double percBinVarLessThenVal1 = 0.0;

  double percBinVarLessThenVal2 = 0.0;

  double percBinVarLessThenVal3 = 0.0;

  int    *binIdxSortDsd = new int[m_binNum];

  double *binVarSortDsd = new double[m_binNum];

  double *binVarSortDsdCDF = new double[m_binNum];

  double ratioWeiVar = 0.0, ratioWeiVarNorm = 0.0;

  int startBinIdx = m_sliceReshapeInfo.reshaperModelMinBinIdx;

  int endBinIdx = m_sliceReshapeInfo.reshaperModelMaxBinIdx;

  for (int b = 0; b < m_binNum; b++)

  {

    binVarSortDsd[b] = m_srcSeqStats.binVar[b];

    binIdxSortDsd[b] = b;

  }

  bubbleSortDsd(binVarSortDsd, binIdxSortDsd, m_binNum);

  binVarSortDsdCDF[0] = m_srcSeqStats.binHist[binIdxSortDsd[0]];

  for (int b = 1; b < m_binNum; b++) { binVarSortDsdCDF[b] = binVarSortDsdCDF[b - 1] + m_srcSeqStats.binHist[binIdxSortDsd[b]]; }

  for (int b = 0; b < m_binNum - 1; b++)

  {

    if (binVarSortDsd[b] > 3.4) { firstBinVarLessThanVal1 = b + 1; }

    if (binVarSortDsd[b] > 2.8) { firstBinVarLessThanVal2 = b + 1; }

    if (binVarSortDsd[b] > 2.5) { firstBinVarLessThanVal3 = b + 1; }

  }

  percBinVarLessThenVal1 = binVarSortDsdCDF[firstBinVarLessThanVal1];

  percBinVarLessThenVal2 = binVarSortDsdCDF[firstBinVarLessThanVal2];

  percBinVarLessThenVal3 = binVarSortDsdCDF[firstBinVarLessThanVal3];

  delete[] binIdxSortDsd;

  delete[] binVarSortDsd;

  delete[] binVarSortDsdCDF;

  cwPerturbation(startBinIdx, endBinIdx, (uint16_t)m_reshapeCW.binCW[1]);

  cwReduction(startBinIdx, endBinIdx);

  m_rspSeqStats = SeqInfo();

  for (int b = 0; b < m_binNum; b++)

  {

    double scale = (m_binCW[b] > 0) ? ((double)m_binCW[b] / (double)m_initCWAnalyze) : 1.0;

    m_rspSeqStats.binHist[b] = m_srcSeqStats.binHist[b];

    m_rspSeqStats.binVar[b] = m_srcSeqStats.binVar[b] + 2.0 * log10(scale);

  }

  m_rspSeqStats.minBinVar = 5.0;

  m_rspSeqStats.maxBinVar = 0.0;

  m_rspSeqStats.meanBinVar = 0.0;

  m_rspSeqStats.nonZeroCnt = 0;

  for (int b = 0; b < m_binNum; b++)

  {

    if (m_rspSeqStats.binHist[b] > 0.001)

    {

      m_rspSeqStats.nonZeroCnt++;

      m_rspSeqStats.meanBinVar += m_rspSeqStats.binVar[b];

      if (m_rspSeqStats.binVar[b] > m_rspSeqStats.maxBinVar) { m_rspSeqStats.maxBinVar = m_rspSeqStats.binVar[b]; }

      if (m_rspSeqStats.binVar[b] < m_rspSeqStats.minBinVar) { m_rspSeqStats.minBinVar = m_rspSeqStats.binVar[b]; }

    }

  }

  m_rspSeqStats.meanBinVar /= (double)m_rspSeqStats.nonZeroCnt;

  for (int b = 0; b < m_binNum; b++)

  {

    if (m_rspSeqStats.meanBinVar > 0.0)

      m_rspSeqStats.normVar[b] = m_rspSeqStats.binVar[b] / m_rspSeqStats.meanBinVar;

    m_rspSeqStats.weightVar += m_rspSeqStats.binHist[b] * m_rspSeqStats.binVar[b];

    m_rspSeqStats.weightNorm += m_rspSeqStats.binHist[b] * m_rspSeqStats.normVar[b];

  }

  ratioWeiVar = m_rspSeqStats.weightVar / m_srcSeqStats.weightVar;

  ratioWeiVarNorm = m_rspSeqStats.weightNorm / m_srcSeqStats.weightNorm;

  if ((m_srcSeqStats.binHist[0] + m_srcSeqStats.binHist[m_binNum - 1]) > 0.0001 && m_srcSeqStats.binHist[m_binNum - 2] < 0.001)

  {

    if (percBinVarLessThenVal3 > 0.8 && percBinVarLessThenVal2 > 0.4 && m_srcSeqStats.binVar[m_binNum - 2] > 4.8) { isSkipCase = true; }

    else if (percBinVarLessThenVal3 < 0.1 && percBinVarLessThenVal1 < 0.05 && m_srcSeqStats.binVar[m_binNum - 2] < 4.0) { isSkipCase = true; }

  }

  if (isSkipCase) { *intraAdp = false;  *interAdp = false;  return; }

  if (m_reshapeCW.rspPicSize > 5184000) { isLowCase = true; }

  else if (m_srcSeqStats.binVar[1] > 4.0) { isLowCase = true; }

  else if (m_rspSeqStats.meanBinVar > 3.4 && ratioWeiVarNorm > 1.005 && ratioWeiVar > 1.02) { isLowCase = true; }