Пример #1
0
ImageEx EstimatorRender::render(const AContainer &group, AProcessWatcher *watcher) const {
	auto planes_amount = group.image(0).size();
	auto min_point = group.minPoint();
	ProgressWrapper( watcher ).setTotal( planes_amount * iterations * group.count() );
	
	auto est = AverageRender().render( group ); //Starting estimate
	est.scaleFactor( upscale_factor );
	auto beta = color::WHITE * this->beta / group.count();
	for( unsigned c=0; c<planes_amount; ++c ){
		for( int i=0; i<iterations; i++ ){
			if( ProgressWrapper(watcher).shouldCancel() )
				return {};
			auto output_copy = est[c];
			
			//Improve estimate
			for( unsigned j=0; j<group.count(); j++, ProgressWrapper( watcher ).add() )
				sign( output_copy, degrade( est[c], {group, j, c} ), group.image(j)[c], group.pos(j)-min_point
					, beta, channelScale(group, j, c)*upscale_factor );
			
			//Regularization
			if( lambda > 0.0 )
				regularize( est[c], output_copy, reg_size, alpha, beta, lambda );
			else
				est[c] = output_copy;
		}
		
		//DEBUG: See how close our model gets to the input data
		for( unsigned j=0; j<group.count(); j++ ){
			save( degrade( est[c], {group, j, c} ), "deg" + QString::number(c) + "-" + QString::number(j) );
			save( group.image(j)[c],                "low" + QString::number(c) + "-" + QString::number(j) );
		}
	}

	return est;
}
Пример #2
0
static void setLimit( QCustomPlot& plot, const AContainer& images, Point<bool> moves ){
	auto min_point = images.minPoint();
	auto max_point = images.maxPoint();
	
	plot.xAxis->setRange( moves.x ? min_point.x : 0, moves.x ? max_point.x : images.count() );
	plot.yAxis->setRange( moves.y ? min_point.y : 0, moves.y ? max_point.y : images.count() );
	
	plot.yAxis->setLabel( moves.y ? QObject::tr("Y") : QObject::tr("Id") );
	plot.xAxis->setLabel( moves.y ? QObject::tr("X") : QObject::tr("Id") );
}
Пример #3
0
ImageEx AverageRender::render( const AContainer& aligner, AProcessWatcher* watcher ) const{
	Timer t( "AverageRender::render()" );
	
	//Abort if no images
	if( aligner.count() == 0 ){
		qWarning( "No images to render!" );
		return ImageEx();
	}
	unsigned planes_amount = for_merging ? 1 : aligner.image(0).size();
	ProgressWrapper( watcher ).setTotal( aligner.count() * planes_amount );
	
	//Determine if we need to care about alpha per plane
	bool use_plane_alpha = false;
	for( unsigned i=0; i<aligner.count(); ++i )
		if( aligner.alpha( i ) || aligner.imageMask( i ) >= 0 ){
			use_plane_alpha = true;
			break;
		}
	//Check for movement in both direction
	auto movement = aligner.hasMovement();
	if( movement.first && movement.second )
		use_plane_alpha = true;
	
	auto color_space = aligner.image(0).getColorSpace();
	ImageEx img( for_merging ? color_space.changed( Transform::GRAY ) : color_space );
	
	AlphaScales masks;
	for( unsigned c=0; c<planes_amount; c++ ){
		auto scale = upscale_chroma ? Point<double>(1,1)
            : aligner.image( 0 )[c].getSize().to<double>() / aligner.image( 0 )[0].getSize().to<double>();
		masks.addScale( aligner, scale );
	}
	
	auto min_point = aligner.minPoint();
	auto full = aligner.size().size;
	for( unsigned c=0; c<planes_amount; c++ ){
		//Determine local size
		auto scale = upscale_chroma ? Point<double>(1,1)
			: aligner.image( 0 )[c].getSize().to<double>() / aligner.image( 0 )[0].getSize().to<double>();
		
		
		//TODO: something is wrong with the rounding, chroma-channels are slightly off
		SumPlane sum( (scale * full).ceil() );
		sum.spacing = spacing;
		sum.offset  = offset;
		
		for( unsigned j=0; j<aligner.count(); j++ ){
			auto& image = aligner.image( j );
			auto pos = (scale * (aligner.pos(j) - min_point)).round();
			auto plane = getScaled( image[c], (scale * image[0].getSize()).round() );
			
			const Plane& alpha_plane = masks.getAlpha( c, aligner.imageMask( j ), aligner.alpha( j ) );
			if( use_plane_alpha && alpha_plane.valid() )
				sum.addAlphaPlane( plane(), alpha_plane, pos );
			else
				sum.addPlane( plane(), pos );
			
			ProgressWrapper( watcher ).add();
		}
		
		img.addPlane( sum.average() );
		
		if( c == 0 && use_plane_alpha )
			img.alpha_plane() = sum.alpha();
			//TODO: what to do about the rest? We should try to fill in the gaps?
	}
	
	return img;
}
Пример #4
0
	Parameters( const AContainer& container, unsigned index, unsigned channel /*const Plane& background*/ )
		: container(container), index(index), channel(channel) /*background(background)*/ {
			min_point = container.minPoint();
		}