forked from mirror/libbpg
141 lines
4.9 KiB
C++
141 lines
4.9 KiB
C++
/* The copyright in this software is being made available under the BSD
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* License, included below. This software may be subject to other third party
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* and contributor rights, including patent rights, and no such rights are
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* granted under this license.
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*
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* Copyright (c) 2010-2014, ITU/ISO/IEC
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* * Redistributions of source code must retain the above copyright notice,
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* this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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* * Neither the name of the ITU/ISO/IEC nor the names of its contributors may
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* be used to endorse or promote products derived from this software without
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* specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS
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* BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
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* THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/** \file TEncPreanalyzer.cpp
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\brief source picture analyzer class
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*/
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#include <cfloat>
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#include <algorithm>
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#include "TEncPreanalyzer.h"
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using namespace std;
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//! \ingroup TLibEncoder
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//! \{
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/** Constructor
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*/
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TEncPreanalyzer::TEncPreanalyzer()
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{
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}
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/** Destructor
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*/
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TEncPreanalyzer::~TEncPreanalyzer()
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{
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}
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/** Analyze source picture and compute local image characteristics used for QP adaptation
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* \param pcEPic Picture object to be analyzed
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* \return Void
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*/
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Void TEncPreanalyzer::xPreanalyze( TEncPic* pcEPic )
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{
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TComPicYuv* pcPicYuv = pcEPic->getPicYuvOrg();
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const Int iWidth = pcPicYuv->getWidth(COMPONENT_Y);
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const Int iHeight = pcPicYuv->getHeight(COMPONENT_Y);
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const Int iStride = pcPicYuv->getStride(COMPONENT_Y);
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for ( UInt d = 0; d < pcEPic->getMaxAQDepth(); d++ )
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{
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const Pel* pLineY = pcPicYuv->getAddr(COMPONENT_Y);
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TEncPicQPAdaptationLayer* pcAQLayer = pcEPic->getAQLayer(d);
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const UInt uiAQPartWidth = pcAQLayer->getAQPartWidth();
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const UInt uiAQPartHeight = pcAQLayer->getAQPartHeight();
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TEncQPAdaptationUnit* pcAQU = pcAQLayer->getQPAdaptationUnit();
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Double dSumAct = 0.0;
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for ( UInt y = 0; y < iHeight; y += uiAQPartHeight )
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{
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const UInt uiCurrAQPartHeight = min(uiAQPartHeight, iHeight-y);
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for ( UInt x = 0; x < iWidth; x += uiAQPartWidth, pcAQU++ )
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{
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const UInt uiCurrAQPartWidth = min(uiAQPartWidth, iWidth-x);
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const Pel* pBlkY = &pLineY[x];
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UInt64 uiSum[4] = {0, 0, 0, 0};
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UInt64 uiSumSq[4] = {0, 0, 0, 0};
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UInt uiNumPixInAQPart = 0;
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UInt by = 0;
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for ( ; by < uiCurrAQPartHeight>>1; by++ )
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{
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UInt bx = 0;
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for ( ; bx < uiCurrAQPartWidth>>1; bx++, uiNumPixInAQPart++ )
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{
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uiSum [0] += pBlkY[bx];
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uiSumSq[0] += pBlkY[bx] * pBlkY[bx];
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}
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for ( ; bx < uiCurrAQPartWidth; bx++, uiNumPixInAQPart++ )
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{
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uiSum [1] += pBlkY[bx];
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uiSumSq[1] += pBlkY[bx] * pBlkY[bx];
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}
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pBlkY += iStride;
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}
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for ( ; by < uiCurrAQPartHeight; by++ )
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{
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UInt bx = 0;
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for ( ; bx < uiCurrAQPartWidth>>1; bx++, uiNumPixInAQPart++ )
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{
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uiSum [2] += pBlkY[bx];
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uiSumSq[2] += pBlkY[bx] * pBlkY[bx];
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}
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for ( ; bx < uiCurrAQPartWidth; bx++, uiNumPixInAQPart++ )
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{
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uiSum [3] += pBlkY[bx];
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uiSumSq[3] += pBlkY[bx] * pBlkY[bx];
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}
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pBlkY += iStride;
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}
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Double dMinVar = DBL_MAX;
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for ( Int i=0; i<4; i++)
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{
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const Double dAverage = Double(uiSum[i]) / uiNumPixInAQPart;
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const Double dVariance = Double(uiSumSq[i]) / uiNumPixInAQPart - dAverage * dAverage;
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dMinVar = min(dMinVar, dVariance);
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}
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const Double dActivity = 1.0 + dMinVar;
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pcAQU->setActivity( dActivity );
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dSumAct += dActivity;
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}
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pLineY += iStride * uiCurrAQPartHeight;
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}
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const Double dAvgAct = dSumAct / (pcAQLayer->getNumAQPartInWidth() * pcAQLayer->getNumAQPartInHeight());
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pcAQLayer->setAvgActivity( dAvgAct );
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}
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}
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//! \}
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