/* * 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; } }