/*
* Copyright (C) 2010-2016 JPEXS, All rights reserved.
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 3.0 of the License, or (at your option) any later version.
*
* This library 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
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library.
*/
package com.jpexs.decompiler.flash.types.filters;
import com.jpexs.decompiler.flash.types.BasicType;
import com.jpexs.decompiler.flash.types.RGBA;
import com.jpexs.decompiler.flash.types.annotations.Reserved;
import com.jpexs.decompiler.flash.types.annotations.SWFType;
import com.jpexs.helpers.SerializableImage;
/**
* Two-dimensional discrete convolution filter.
*
* @author JPEXS
*/
public class CONVOLUTIONFILTER extends FILTER {
/**
* Horizontal matrix size
*/
@SWFType(BasicType.UI8)
public int matrixX;
/**
* Vertical matrix size
*/
@SWFType(BasicType.UI8)
public int matrixY;
/**
* Divisor applied to the matrix values
*/
@SWFType(BasicType.FLOAT)
public float divisor;
/**
* Bias applied to the matrix values
*/
@SWFType(BasicType.FLOAT)
public float bias;
/**
* Matrix values
*/
@SWFType(BasicType.FLOAT)
public float[][] matrix = new float[0][0];
/**
* Default color for pixels outside the image
*/
public RGBA defaultColor;
@Reserved
@SWFType(value = BasicType.UB, count = 6)
public int reserved;
/**
* Clamp mode
*/
public boolean clamp;
/**
* Preserve the alpha
*/
public boolean preserveAlpha;
/**
* Constructor
*/
public CONVOLUTIONFILTER() {
super(5);
}
@Override
public SerializableImage apply(SerializableImage 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);
}
@Override
public double getDeltaX() {
return 0;
}
@Override
public double getDeltaY() {
return 0;
}
}