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Apache FOP (Formatting Objects Processor) is the world's first print formatter driven by XSL formatting objects (XSL-FO) and the world's first output independent formatter. It is a Java application that reads a formatting object (FO) tree and renders the resulting pages to a specified output. Output formats currently supported include PDF, PCL, PS, AFP, TIFF, PNG, SVG, XML (area tree representation), Print, AWT and TXT. The primary output target is PDF.

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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

/* $Id: JAIMonochromeBitmapConverter.java 738453 2009-01-28 11:10:51Z jeremias $ */

package org.apache.fop.util.bitmap;

import java.awt.RenderingHints;
import java.awt.image.BufferedImage;
import java.awt.image.ColorModel;
import java.awt.image.DataBuffer;
import java.awt.image.IndexColorModel;
import java.awt.image.RenderedImage;
import java.awt.image.renderable.ParameterBlock;

import javax.media.jai.ColorCube;
import javax.media.jai.ImageLayout;
import javax.media.jai.JAI;
import javax.media.jai.KernelJAI;
import javax.media.jai.LookupTableJAI;
import javax.media.jai.PlanarImage;

/**
 * Implementation of the MonochromeBitmapConverter which uses Java Advanced Imaging (JAI)
 * to convert grayscale bitmaps to monochrome bitmaps. JAI provides better dithering options
 * including error diffusion dithering.
 * 

* If you call setHint("quality", "true") on the instance you can enabled error diffusion * dithering which produces a nicer result but is also a lot slower. */ public class JAIMonochromeBitmapConverter implements MonochromeBitmapConverter { private boolean isErrorDiffusion = false; /** {@inheritDoc} */ public void setHint(String name, String value) { if ("quality".equalsIgnoreCase(name)) { isErrorDiffusion = "true".equalsIgnoreCase(value); } } /** {@inheritDoc} */ public RenderedImage convertToMonochrome(BufferedImage img) { return convertToMonochromePlanarImage(img); } private PlanarImage convertToMonochromePlanarImage(BufferedImage img) { if (img.getColorModel().getColorSpace().getNumComponents() != 1) { img = BitmapImageUtil.convertToGrayscale(img, null); } // Load the ParameterBlock for the dithering operation // and set the operation name. ParameterBlock pb = new ParameterBlock(); pb.addSource(img); String opName = null; if (isErrorDiffusion) { opName = "errordiffusion"; LookupTableJAI lut = new LookupTableJAI(new byte[] {(byte)0x00, (byte)0xff}); pb.add(lut); pb.add(KernelJAI.ERROR_FILTER_FLOYD_STEINBERG); } else { opName = "ordereddither"; //Create the color cube. ColorCube colorMap = ColorCube.createColorCube(DataBuffer.TYPE_BYTE, 0, new int[] {2}); pb.add(colorMap); pb.add(KernelJAI.DITHER_MASK_441); } //Create an image layout for a monochrome b/w image ImageLayout layout = new ImageLayout(); byte[] map = new byte[] {(byte)0x00, (byte)0xff}; ColorModel cm = new IndexColorModel(1, 2, map, map, map); layout.setColorModel(cm); // Create a hint containing the layout. RenderingHints hints = new RenderingHints(JAI.KEY_IMAGE_LAYOUT, layout); // Dither the image. PlanarImage dst = JAI.create(opName, pb, hints); //Convert it to a BufferedImage return dst; } }





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