/*
 *  Copyright (C) 2010-2013 JPEXS
 * 
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 * 
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 * 
 *  You should have received a copy of the GNU General Public License
 *  along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */
package com.jpexs.decompiler.flash.types.filters;

import com.jpexs.decompiler.flash.types.RGBA;
import java.awt.image.BufferedImage;

/**
 * Two-dimensional discrete convolution filter.
 *
 * @author JPEXS
 */
public class CONVOLUTIONFILTER extends FILTER {

    /**
     * Horizontal matrix size
     */
    public int matrixX;
    /**
     * Vertical matrix size
     */
    public int matrixY;
    /**
     * Divisor applied to the matrix values
     */
    public float divisor;
    /**
     * Bias applied to the matrix values
     */
    public float bias;
    /**
     * Matrix values
     */
    public float matrix[][] = new float[0][0];
    /**
     * Default color for pixels outside the image
     */
    public RGBA defaultColor;
    /**
     * Clamp mode
     */
    public boolean clamp;
    /**
     * Preserve the alpha
     */
    public boolean preserveAlpha;

    /**
     * Constructor
     */
    public CONVOLUTIONFILTER() {
        super(5);
    }

    @Override
    public BufferedImage apply(BufferedImage src) {
        int height = matrix.length;
        int width = matrix[0].length;
        float matrix2[] = new float[width * height];
        for (int y = 0; y < height; y++) {
            for (int x = 0; x < width; x++) {
                matrix2[y * width + x] = matrix[x][y] * divisor + bias;
            }
        }
        return Filtering.convolution(src, matrix2, width, height);
    }
}
