AlbumShaper
1.0a3
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Go to the source code of this file.
Functions | |
QImage * | oilPaintingEffect (QString filename, ManipulationOptions *options) |
QImage* oilPaintingEffect | ( | QString | filename, |
ManipulationOptions * | options | ||
) |
Definition at line 103 of file painting.cpp.
References Triplet::b, editedImage, findHighestCounts(), Triplet::g, ManipulationOptions::getStatus(), Histogram::highestCountIndex, StatusWidget::incrementProgress(), newProgress, Triplet::r, resetHistogram(), StatusWidget::showProgressBar(), status, updateIncrement, and Histogram::values.
Referenced by EditingInterface::applyEffect().
{ //load original image QImage originalImage( filename ); //convert to 32-bit depth if necessary if( originalImage.depth() < 32 ) { originalImage = originalImage.convertDepth( 32, Qt::AutoColor ); } //determine if busy indicators will be used bool useBusyIndicators = false; StatusWidget* status = NULL; if( options != NULL && options->getStatus() != NULL ) { useBusyIndicators = true; status = options->getStatus(); } //setup progress bar if(useBusyIndicators) { QString statusMessage = qApp->translate( "oilPaintingEffect", "Applying Oil Painting Effect:" ); status->showProgressBar( statusMessage, 100 ); qApp->processEvents(); } //update progress bar for every 1% of completion const int updateIncrement = (int) ( 0.01 * originalImage.width() * originalImage.height() ); int newProgress = 0; //construct edited image QImage* editedImage = new QImage( filename ); //convert to 32-bit depth if necessary if( editedImage->depth() < 32 ) { QImage* tmp = editedImage; editedImage = new QImage( tmp->convertDepth( 32, Qt::AutoColor ) ); delete tmp; tmp=NULL; } //compute the radius using image resolution double minDimen = (double) QMIN( editedImage->width(), editedImage->height() ); const int RADIUS = (int) QMAX( 2, (sqrt(minDimen)/4) ); //iterate over image int originalImageX, originalImageY; int editedImageX, editedImageY; int clampedX, clampedY; int trailingEdgeY, leadingEdgeY; QRgb* rgb; uchar* scanLine; uchar* trailingScanLine; uchar* leadingScanLine; //iterate over columns for( editedImageX=0; editedImageX < editedImage->width(); editedImageX++) { //------------------ //reset histogram object resetHistogram(); //------------------ //fill histogram with data that would have results from Y=-1 for(originalImageY = 0 - 1 - RADIUS; originalImageY <= 0 - 1 + RADIUS; originalImageY++) { clampedY = QMAX( QMIN( originalImageY, originalImage.height() - 1 ), 0 ); scanLine = originalImage.scanLine( clampedY ); for(originalImageX = editedImageX - RADIUS; originalImageX <= editedImageX + RADIUS; originalImageX++) { clampedX = QMAX( QMIN( originalImageX, originalImage.width() - 1 ), 0 ); //get rgb value rgb = ((QRgb*)scanLine+clampedX); //update counts for this r/g/b value histogram.values[ qRed(*rgb) ].r++; histogram.values[ qGreen(*rgb) ].g++; histogram.values[ qBlue(*rgb) ].b++; } //originalX } //originalY //------------------ //now iterate over rows by simply removing trailing edge data and adding leading edge data for( editedImageY=0; editedImageY < editedImage->height(); editedImageY++) { trailingEdgeY = QMAX( QMIN( editedImageY-1-RADIUS, originalImage.height() - 1 ), 0 ); leadingEdgeY = QMAX( QMIN( editedImageY+RADIUS, originalImage.height() - 1 ), 0 ); trailingScanLine = originalImage.scanLine( trailingEdgeY ); leadingScanLine = originalImage.scanLine( leadingEdgeY ); for(originalImageX = editedImageX - RADIUS; originalImageX <= editedImageX + RADIUS; originalImageX++) { clampedX = QMAX( QMIN( originalImageX, originalImage.width() - 1 ), 0 ); //remove trail edge data rgb = ((QRgb*)trailingScanLine+clampedX); histogram.values[ qRed(*rgb) ].r--; histogram.values[ qGreen(*rgb) ].g--; histogram.values[ qBlue(*rgb) ].b--; //add leading edge data rgb = ((QRgb*)leadingScanLine+clampedX); histogram.values[ qRed(*rgb) ].r++; histogram.values[ qGreen(*rgb) ].g++; histogram.values[ qBlue(*rgb) ].b++; } //originalX //find highest color counts findHighestCounts(); //replace each color channel value with average of //current value and most occuring value within neighborhood scanLine = editedImage->scanLine( editedImageY ); rgb = ((QRgb*)scanLine+editedImageX); *rgb = qRgb( (qRed(*rgb) + histogram.highestCountIndex.r) / 2, (qGreen(*rgb) + histogram.highestCountIndex.g) / 2, (qBlue(*rgb) + histogram.highestCountIndex.b) / 2 ); //update status bar if significant progress has been made since last update if(useBusyIndicators) { newProgress++; if(newProgress >= updateIncrement) { newProgress = 0; status->incrementProgress(); qApp->processEvents(); } } } //editedImageX } //editedImageY //return pointer to edited image return editedImage; }