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package net.imagej.ops.filter.convolve;

import net.imagej.ops.Ops;
import net.imagej.ops.filter.AbstractFFTFilterC;
import net.imagej.ops.filter.FFTMethodsLinearFFTFilterC;
import net.imagej.ops.math.IIToIIOutputII;
import net.imagej.ops.special.computer.BinaryComputerOp;
import net.imagej.ops.special.computer.Computers;
import net.imagej.ops.special.hybrid.BinaryHybridCF;
import net.imagej.ops.special.hybrid.Hybrids;
import net.imglib2.RandomAccessibleInterval;
import net.imglib2.type.numeric.ComplexType;
import net.imglib2.type.numeric.RealType;

import org.scijava.Priority;
import org.scijava.plugin.Plugin;

/**
 * Convolve op for (@link RandomAccessibleInterval)
 * 
 * @author Brian Northan
 * @param <I>
 * @param <O>
 * @param <K>
 * @param <C>
 */
@Plugin(type = Ops.Filter.Convolve.class, priority = Priority.LOW)
public class ConvolveFFTC<I extends RealType<I>, O extends RealType<O>, K extends RealType<K>, C extends ComplexType<C>>
	extends
	AbstractFFTFilterC<I, O, K, C>
	implements Ops.Filter.Convolve
{

	private BinaryHybridCF<RandomAccessibleInterval<C>, RandomAccessibleInterval<C>, RandomAccessibleInterval<C>> mul;

	private BinaryComputerOp<RandomAccessibleInterval<I>, RandomAccessibleInterval<K>, RandomAccessibleInterval<O>> linearFilter;

	/**
	 * Call the linear filter that is set up to perform convolution
	 */
	@Override
	public void compute(RandomAccessibleInterval<I> in,
		RandomAccessibleInterval<K> kernel, RandomAccessibleInterval<O> out)
	{
		if (linearFilter == null) {
			System.out.println("ConvolveFFTC: fftInput = " + getFFTInput() + ", fftKernel = " + getFFTKernel());
			mul = Hybrids.binaryCF(ops(), IIToIIOutputII.Multiply.class, getFFTInput(),
				getFFTKernel(), getFFTInput());

			// create a convolver by creating a linear filter and passing the multiplier as
			// the frequency operation
			linearFilter = (BinaryComputerOp) Computers.binary(ops(),
				FFTMethodsLinearFFTFilterC.class, RandomAccessibleInterval.class,
				RandomAccessibleInterval.class, RandomAccessibleInterval.class,
				getFFTInput(), getFFTKernel(), getPerformInputFFT(),
				getPerformKernelFFT(), mul);
		}

		linearFilter.compute(in, kernel, out);
	}
}

@@ -2972,112 +2972,8 @@
 ) %7B%0A
-%09%09%09System.out.println(%22ConvolveFFTC: fftInput = %22 + getFFTInput() + %22, fftKernel = %22 + getFFTKernel());%0A
 %09%09%09m

remove debug output