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/*
 * #%L
 * Image processing operations for SciJava Ops.
 * %%
 * Copyright (C) 2014 - 2024 SciJava developers.
 * %%
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
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 *    this list of conditions and the following disclaimer.
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 *    this list of conditions and the following disclaimer in the documentation
 *    and/or other materials provided with the distribution.
 * 
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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package org.scijava.ops.image.deconvolve;

import java.util.function.BiFunction;

import net.imglib2.Dimensions;
import net.imglib2.RandomAccessibleInterval;
import net.imglib2.img.Img;
import net.imglib2.type.numeric.ComplexType;
import net.imglib2.type.numeric.RealType;
import net.imglib2.type.numeric.real.DoubleType;
import net.imglib2.view.Views;

import org.scijava.function.Computers;
import org.scijava.function.Functions;
import org.scijava.ops.spi.OpDependency;

/**
 * Calculate non-circulant first guess. This is used as part of the Boundary
 * condition handling scheme described here
 * http://bigwww.epfl.ch/deconvolution/challenge2013/index.html?p=doc_math_rl)
 *
 * @author Brian Northan
 * @param 
 * @param 
 * @param 
 * @param 
 * @implNote op names='deconvolve.firstGuess', priority='-100.'
 */
public class NonCirculantFirstGuess, O extends RealType, K extends RealType, C extends ComplexType>
	implements
	Functions.Arity3, O, Dimensions, RandomAccessibleInterval>
{

	@OpDependency(name = "create.img")
	BiFunction> create;

	@OpDependency(name = "stats.sum")
	Computers.Arity1, DoubleType> sum;

	/**
	 * k is the size of the measurement window. That is the size of the acquired
	 * image before extension, k is required to calculate the non-circulant
	 * normalization factor
	 */
	/**
	 * TODO
	 *
	 * @param input
	 * @param outType
	 * @param k
	 * @return the output
	 */
	@Override
	public RandomAccessibleInterval apply(RandomAccessibleInterval input,
		final O outType, final Dimensions k)
	{

		final Img firstGuess = create.apply(input, outType);

		// set first guess to be a constant = to the average value

		// so first compute the sum...
		final DoubleType s = new DoubleType();
		sum.compute(Views.iterable(input), s);

		// then the number of pixels
		long numPixels = 1;

		for (int d = 0; d < k.numDimensions(); d++) {
			numPixels = numPixels * k.dimension(d);
		}

		// then the average value...
		final double average = s.getRealDouble() / (numPixels);

		// set first guess as the average value computed above (TODO: use fill op)
		for (final O type : firstGuess) {
			type.setReal(average);
		}

		return firstGuess;
	}
}