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);
}
}
//static
void GradientsMergeMosaic::mergeMosaic(imageListType_t const & rImageList_p,
realType_t dBlackPoint_p,
pcl_enum eType_p,
int32 shrinkCount_p,
int32 featherRadius_p,
imageType_t &rResultImage_p,
sumMaskImageType_t &rSumMaskImage_p)
{
Assert(rImageList_p.Length()>=1);
bool firstImage=true;
int nCols=0,nRows=0,nChannels=0; /// size and color space of first image
imageType_t::color_space colorSpace;
weightImageType_t countImageDx, countImageDy; /// number of pixels that contributed to sumImageDx,Dy in average mode
imageType_t sumImageDx, sumImageDy; /// combined gradients in x and y direction. Note: these gradients are *between* the pixels
/// of the original image, so size is one less then original image is direction of derivative
int nImages=0; /// number of images read
const int enlargeSize=1; // number of pixels added at the border
TimeMessage startMergeMosaic("Gradient Domain Merge Mosaic");
TimeMessage startLoadImages("Loading images");
for(std::size_t i=0;i<rImageList_p.Length();++i){
imageType_t currentImage;
int imageIndex=0;
// allow for multi-image files
while(loadFile(rImageList_p[i],imageIndex,currentImage)){
++nImages;
++imageIndex;
// expand image dimensions so I have sufficient border for morpological transform and convolution
TimeMessage startEnlarge("creating border");
currentImage.CropBy(enlargeSize,enlargeSize,enlargeSize,enlargeSize);
startEnlarge.Stop();
if(firstImage){
firstImage=false;
// determine those parameters that must be shared by all images
nCols=currentImage.Width();
nRows=currentImage.Height();
nChannels=currentImage.NumberOfChannels();
colorSpace=currentImage.ColorSpace();
//allocate necessary helper images
rSumMaskImage_p.AllocateData(nCols,nRows);
rSumMaskImage_p.ResetSelections();
rSumMaskImage_p.Black();
sumImageDx.AllocateData(nCols-1,nRows,nChannels,colorSpace);
sumImageDx.ResetSelections();
sumImageDx.Black();
sumImageDy.AllocateData(nCols,nRows-1,nChannels,colorSpace);
sumImageDy.ResetSelections();
sumImageDy.Black();
countImageDx.AllocateData(nCols-1,nRows);
countImageDx.Black();
countImageDy.AllocateData(nCols,nRows-1);
countImageDy.Black();
} else {
// FIXME I wonder if I should check color space etc as well...
// check if properties of this image are identical to those of the first image
if(nCols!=currentImage.Width()) {
throw Error("Current image width differs from first image width.");
} else if(nRows!=currentImage.Height()) {
throw Error("Current image height differs from first image height.");
} else if(nChannels!=currentImage.NumberOfChannels()) {
throw Error("Current image number of channels differs from first image number of channels.");
}
}
TimeMessage startProcessImage("Processing Image"+String(nImages));
mergeMosaicProcessImage(currentImage,dBlackPoint_p,eType_p,shrinkCount_p,featherRadius_p,sumImageDx, sumImageDy ,rSumMaskImage_p,countImageDx, countImageDy);
}
}
startLoadImages.Stop();
if (eType_p==GradientsMergeMosaicType::Average) {
TimeMessage startAverage("Averaging images");
averageImage(eType_p,countImageDx,sumImageDx);
averageImage(eType_p,countImageDy,sumImageDy);
// we do not need count images any longer
countImageDx.AllocateData(0,0);
countImageDy.AllocateData(0,0);
}
// at this point:
// sumImageDx: Average or overlay of gradients of images read in x direction
// sumImageDy: Average or overlay of gradients of images read in y direction
// rSumMaskImage_p: mask with different values for the different sources of images. 0 is background.
// We use this later for information of the user, but it is not needed in the following process
TimeMessage startMerge("Merging Images");
imageType_t laplaceImage;
TimeMessage startLaplace("Creating Laplace image");
createLaplaceVonNeumannImage(sumImageDx,sumImageDy,laplaceImage);
startLaplace.Stop();
TimeMessage startSolve("Solving Laplace");
solveImage(laplaceImage,rResultImage_p);
startSolve.Stop();
startMerge.Stop();
rResultImage_p.ResetSelections();
#if 0
// for debugging laplaceImage
// rResultImage_p.Assign(laplaceImage);
rResultImage_p.Assign(sumImageDx);
#else
TimeMessage startEnlarge("shrinking border");
rResultImage_p.CropBy(-enlargeSize,-enlargeSize,-enlargeSize,-enlargeSize);
rSumMaskImage_p.CropBy(-enlargeSize,-enlargeSize,-enlargeSize,-enlargeSize);
startEnlarge.Stop();
#endif
TimeMessage startRescale("Rescaling Result");
rResultImage_p.Rescale(); //FIXME something more clever?
startRescale.Stop();
}
//static
void GradientsHdrComposition::hdrComposition(imageListType_t const & rImageList_p,
bool bKeepLog_p,
realType_t dBias_p,
imageType_t &rResultImage_p,
numImageType_t &rDxImage_p,
numImageType_t &rDyImage_p)
{
Assert(rImageList_p.Length()>=1);
bool firstImage=true;
int nCols=0,nRows=0,nChannels=0; /// size and color space of first image
imageType_t::color_space colorSpace;
imageType_t sumImageDx, sumImageDy; /// combined gradients in x and y direction. Note: these gradients are *between* the pixels
/// of the original image, so size is one less then original image is direction of derivative
int nImages=0; /// number of images read
const int enlargeSize=1; // number of pixels added at the border
TimeMessage startHdrComposition("Gradient Domain Hdr Composition");
TimeMessage startLoadImages("Loading images");
for(std::size_t i=0;i<rImageList_p.Length();++i){
imageType_t currentImage;
int imageIndex=0;
// allow for multi-image files
while(loadFile(rImageList_p[i],imageIndex,currentImage)){
++nImages;
++imageIndex;
// expand image dimensions so I have sufficient border for morpological transform and convolution
TimeMessage startEnlarge("creating border");
currentImage.CropBy(enlargeSize,enlargeSize,enlargeSize,enlargeSize);
startEnlarge.Stop();
if(firstImage){
firstImage=false;
// determine those parameters that must be shared by all images
nCols=currentImage.Width();
nRows=currentImage.Height();
nChannels=currentImage.NumberOfChannels();
colorSpace=currentImage.ColorSpace();
//allocate necessary helper images
rDxImage_p.AllocateData(nCols,nRows,nChannels,colorSpace);
rDxImage_p.ResetSelections();
rDxImage_p.Black();
rDyImage_p.AllocateData(nCols,nRows,nChannels,colorSpace);
rDyImage_p.ResetSelections();
rDyImage_p.Black();
sumImageDx.AllocateData(nCols-1,nRows,nChannels,colorSpace);
sumImageDx.ResetSelections();
sumImageDx.Black();
sumImageDy.AllocateData(nCols,nRows-1,nChannels,colorSpace);
sumImageDy.ResetSelections();
sumImageDy.Black();
} else {
// FIXME I wonder if I should check color space etc as well...
// check if properties of this image are identical to those of the first image
if(nCols!=currentImage.Width()) {
throw Error("Current image width differs from first image width.");
} else if(nRows!=currentImage.Height()) {
throw Error("Current image height differs from first image height.");
} else if(nChannels!=currentImage.NumberOfChannels()) {
throw Error("Current image number of channels differs from first image number of channels.");
}
}
TimeMessage startProcessImage("Processing Image"+String(nImages));
hdrCompositionProcessImage(currentImage,nImages,dBias_p,0.0,1,sumImageDx, sumImageDy ,rDxImage_p,rDyImage_p);
}
}
startLoadImages.Stop();
// at this point:
// sumImageDx: max log gradient of images read in x direction
// sumImageDy: max log gradient of images read in y direction
// rSumMaskImage_p: mask with different values for the different sources of images. 0 is background.
// We use this later for information of the user, but it is not needed in the following process
TimeMessage startHdr("HDR Combining Images");
imageType_t laplaceImage;
TimeMessage startLaplace("Creating Laplace image");
// eliminate gradients that come from singularities, i.e. <=0 pixels
clipGradients(sumImageDx);
clipGradients(sumImageDy);
createLaplaceVonNeumannImage(sumImageDx,sumImageDy,laplaceImage);
startLaplace.Stop();
TimeMessage startSolve("Solving Laplace");
solveImage(laplaceImage,rResultImage_p);
startSolve.Stop();
rResultImage_p.ResetSelections();
if(!bKeepLog_p){
TimeMessage startExp("Performing Exp()");
realType_t dLogBias=std::log(1.0e-7);
rResultImage_p.Rescale(dLogBias,0.0); //assumes result range is 1e-7..1
expImage(rResultImage_p, rResultImage_p);
startExp.Stop();
}
startHdr.Stop();
#if 0
// for debugging laplaceImage
//rResultImage_p.Assign(laplaceImage);
rResultImage_p.Assign(sumImageDx);
#else
TimeMessage startEnlarge("shrinking border");
rResultImage_p.CropBy(-enlargeSize,-enlargeSize,-enlargeSize,-enlargeSize);
rDxImage_p.CropBy(-enlargeSize,-enlargeSize,-enlargeSize,-enlargeSize);
rDyImage_p.CropBy(-enlargeSize,-enlargeSize,-enlargeSize,-enlargeSize);
startEnlarge.Stop();
#endif
TimeMessage startRescale("Rescaling Result");
rResultImage_p.Rescale(); //FIXME something more clever?
startRescale.Stop();
}
