void Ui::update()
{
drawRect(10, 10, 200, 200, "test2.png");
startClip(10, 10, 200, 200);
drawRect(20, 20, 120, 120, "dagger/Textures/Dagger_Albedo.png");
endClip();
}
void
GradientsHdrCompression::hdrCompression(realType_t maxGradient_p, realType_t minGradient_p, realType_t expGradient_p,
bool bRescale01_p, imageType_t &rResultImage_p) const
{
TimeMessage startHdrCompression("Gradient Domain HDR Compression");
imageType_t li;
{
TimeMessage startClipValue("Determine clip values for gradients");
imageType_t dx(m_imageDx);
imageType_t dy(m_imageDy);
// now clip values
realType_t minGradientX,maxGradientX;
minMaxValImage(dx,minGradientX,maxGradientX);
realType_t minGradientY,maxGradientY;
minMaxValImage(dy,minGradientY,maxGradientY);
realType_t minValue=Min(minGradientX, minGradientY);
realType_t maxValue=Max(maxGradientX, maxGradientY);
double rangeValue=Max(-minValue, maxValue);
realType_t const clipRange=rangeValue*maxGradient_p;
realType_t const zeroRange=rangeValue*minGradient_p;
startClipValue.Stop();
TimeMessage startClip("Clipping Gradients");
clipImage(dx,-clipRange,clipRange);
zeroRangeImage(dx,-zeroRange,zeroRange);
clipImage(dy,-clipRange,clipRange);
zeroRangeImage(dy,-zeroRange,zeroRange);
startClip.Stop();
if(expGradient_p!=1.0){
TimeMessage start("Pow() transformation of gradients");
absPowImage(dx,expGradient_p);
absPowImage(dy,expGradient_p);
}
TimeMessage startLaplace("Computing 2nd derivative");
createLaplaceVonNeumannImage(dx,dy,li);
}
TimeMessage startSolve("Solving image");
solveImage(li,rResultImage_p);
startSolve.Stop();
TimeMessage startRescale("Rescaling image");
if(bRescale01_p){
rResultImage_p.Rescale(0.0,1.0);
} else {
rResultImage_p.Rescale(m_dMinVal,m_dMaxVal);
}
}
