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/** \file     TEncPreanalyzer.cpp
    \brief    source picture analyzer class
*/

#include <cfloat>
#include <algorithm>

#include "TEncPreanalyzer.h"

using namespace std;

//! \ingroup TLibEncoder
//! \{

/** Constructor
 */
TEncPreanalyzer::TEncPreanalyzer()
{
}

/** Destructor
 */
TEncPreanalyzer::~TEncPreanalyzer()
{
}

/** Analyze source picture and compute local image characteristics used for QP adaptation
 * \param pcEPic Picture object to be analyzed
 * \return Void
 */
Void TEncPreanalyzer::xPreanalyze( TEncPic* pcEPic )
{
  TComPicYuv* pcPicYuv = pcEPic->getPicYuvOrg();
  const Int iWidth = pcPicYuv->getWidth(COMPONENT_Y);
  const Int iHeight = pcPicYuv->getHeight(COMPONENT_Y);
  const Int iStride = pcPicYuv->getStride(COMPONENT_Y);

  for ( UInt d = 0; d < pcEPic->getMaxAQDepth(); d++ )
  {
    const Pel* pLineY = pcPicYuv->getAddr(COMPONENT_Y);
    TEncPicQPAdaptationLayer* pcAQLayer = pcEPic->getAQLayer(d);
    const UInt uiAQPartWidth = pcAQLayer->getAQPartWidth();
    const UInt uiAQPartHeight = pcAQLayer->getAQPartHeight();
    TEncQPAdaptationUnit* pcAQU = pcAQLayer->getQPAdaptationUnit();

    Double dSumAct = 0.0;
    for ( UInt y = 0; y < iHeight; y += uiAQPartHeight )
    {
      const UInt uiCurrAQPartHeight = min(uiAQPartHeight, iHeight-y);
      for ( UInt x = 0; x < iWidth; x += uiAQPartWidth, pcAQU++ )
      {
        const UInt uiCurrAQPartWidth = min(uiAQPartWidth, iWidth-x);
        const Pel* pBlkY = &pLineY[x];
        UInt64 uiSum[4] = {0, 0, 0, 0};
        UInt64 uiSumSq[4] = {0, 0, 0, 0};
        UInt by = 0;
        for ( ; by < uiCurrAQPartHeight>>1; by++ )
        {
          UInt bx = 0;
          for ( ; bx < uiCurrAQPartWidth>>1; bx++ )
          {
            uiSum  [0] += pBlkY[bx];
            uiSumSq[0] += pBlkY[bx] * pBlkY[bx];
          }
          for ( ; bx < uiCurrAQPartWidth; bx++ )
          {
            uiSum  [1] += pBlkY[bx];
            uiSumSq[1] += pBlkY[bx] * pBlkY[bx];
          }
          pBlkY += iStride;
        }
        for ( ; by < uiCurrAQPartHeight; by++ )
        {
          UInt bx = 0;
          for ( ; bx < uiCurrAQPartWidth>>1; bx++ )
          {
            uiSum  [2] += pBlkY[bx];
            uiSumSq[2] += pBlkY[bx] * pBlkY[bx];
          }
          for ( ; bx < uiCurrAQPartWidth; bx++ )
          {
            uiSum  [3] += pBlkY[bx];
            uiSumSq[3] += pBlkY[bx] * pBlkY[bx];
          }
          pBlkY += iStride;
        }

        assert ((uiCurrAQPartWidth&1)==0);
        assert ((uiCurrAQPartHeight&1)==0);
        const UInt pixelWidthOfQuadrants  = uiCurrAQPartWidth >>1;
        const UInt pixelHeightOfQuadrants = uiCurrAQPartHeight>>1;
        const UInt numPixInAQPart         = pixelWidthOfQuadrants * pixelHeightOfQuadrants;

        Double dMinVar = DBL_MAX;
        if (numPixInAQPart!=0)
        {
          for ( Int i=0; i<4; i++)
          {
            const Double dAverage = Double(uiSum[i]) / numPixInAQPart;
            const Double dVariance = Double(uiSumSq[i]) / numPixInAQPart - dAverage * dAverage;
            dMinVar = min(dMinVar, dVariance);
          }
        }
        else
        {
          dMinVar = 0.0;
        }
        const Double dActivity = 1.0 + dMinVar;
        pcAQU->setActivity( dActivity );
        dSumAct += dActivity;
      }
      pLineY += iStride * uiCurrAQPartHeight;
    }

    const Double dAvgAct = dSumAct / (pcAQLayer->getNumAQPartInWidth() * pcAQLayer->getNumAQPartInHeight());
    pcAQLayer->setAvgActivity( dAvgAct );
  }
}
//! \}

