/*
* 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.
*/
package org.apache.pdfbox.pdmodel.graphics.xobject;
import java.awt.image.DataBufferByte;
import java.awt.image.BufferedImage;
import java.awt.image.ColorModel;
import java.awt.image.IndexColorModel;
import java.awt.image.WritableRaster;
import java.io.IOException;
import java.io.OutputStream;
import java.util.List;
import javax.imageio.ImageIO;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.pdfbox.cos.COSArray;
import org.apache.pdfbox.cos.COSBase;
import org.apache.pdfbox.cos.COSDictionary;
import org.apache.pdfbox.cos.COSName;
import org.apache.pdfbox.pdmodel.common.PDStream;
import org.apache.pdfbox.pdmodel.graphics.color.PDColorSpace;
import org.apache.pdfbox.pdmodel.graphics.predictor.PredictorAlgorithm;
/**
* This class contains a PixelMap Image.
* @author <a href="mailto:ben@benlitchfield.com">Ben Litchfield</a>
* @author mathiak
* @version $Revision: 1.10 $
*/
public class PDPixelMap extends PDXObjectImage
{
/**
* Log instance.
*/
private static final Log log = LogFactory.getLog(PDPixelMap.class);
private BufferedImage image = null;
/**
* Standard constructor. Basically does nothing.
* @param pdStream The stream that holds the pixel map.
*/
public PDPixelMap(PDStream pdStream)
{
super(pdStream, "png");
}
/**
* Construct a pixel map image from an AWT image.
*
* @param doc The PDF document to embed the image in.
* @param awtImage The image to read data from.
*
* @throws IOException If there is an error while embedding this image.
*/
/*
* This method is broken and needs to be implemented, any takers?
public PDPixelMap(PDDocument doc, BufferedImage awtImage) throws IOException
{
super( doc, "png");
image = awtImage;
setWidth( image.getWidth() );
setHeight( image.getHeight() );
ColorModel cm = image.getColorModel();
ColorSpace cs = cm.getColorSpace();
PDColorSpace pdColorSpace = PDColorSpaceFactory.createColorSpace( doc, cs );
setColorSpace( pdColorSpace );
//setColorSpace( )
PDStream stream = getPDStream();
OutputStream output = null;
try
{
output = stream.createOutputStream();
DataBuffer buffer = awtImage.getRaster().getDataBuffer();
if( buffer instanceof DataBufferByte )
{
DataBufferByte byteBuffer = (DataBufferByte)buffer;
byte[] data = byteBuffer.getData();
output.write( data );
}
setBitsPerComponent( cm.getPixelSize() );
}
finally
{
if( output != null )
{
output.close();
}
}
}*/
/**
* Returns a {@link java.awt.image.BufferedImage} of the COSStream
* set in the constructor or null if the COSStream could not be encoded.
*
* @return {@inheritDoc}
*
* @throws IOException {@inheritDoc}
*/
public BufferedImage getRGBImage() throws IOException
{
if( image != null )
{
return image;
}
try
{
int width = getWidth();
int height = getHeight();
int bpc = getBitsPerComponent();
int predictor = getPredictor();
List filters = getPDStream().getFilters();
ColorModel cm;
byte[] array = getPDStream().getByteArray();
// Get the ColorModel right
PDColorSpace colorspace = getColorSpace();
if (colorspace == null)
{
log.error("getColorSpace() returned NULL. Predictor = " + getPredictor());
return null;
}
if (bpc == 1)
{
byte[] map = new byte[] {(byte)0x00, (byte)0xff};
cm = new IndexColorModel(1, 2, map, map, map, 1);
}
else
{
cm = colorspace.createColorModel( bpc );
}
log.info("ColorModel: " + cm.toString());
WritableRaster raster = cm.createCompatibleWritableRaster( width, height );
DataBufferByte buffer = (DataBufferByte)raster.getDataBuffer();
byte[] bufferData = buffer.getData();
/**
* PDF Spec 1.6 3.3.3 LZW and Flate predictor function
*
* Basically if predictor > 10 and LZW or Flate is being used then the
* predictor is not used.
*
* "For LZWDecode and FlateDecode, a Predictor value greater than or equal to 10
* merely indicates that a PNG predictor is in use; the specific predictor function
* used is explicitly encoded in the incoming data. The value of Predictor supplied
* by the decoding filter need not match the value used when the data was encoded
* if they are both greater than or equal to 10."
*/
if( predictor < 10 ||
filters == null || !(filters.contains( COSName.LZW_DECODE.getName()) ||
filters.contains( COSName.FLATE_DECODE.getName()) ) )
{
PredictorAlgorithm filter = PredictorAlgorithm.getFilter(predictor);
filter.setWidth(width);
filter.setHeight(height);
filter.setBpp((bpc * 3) / 8);
filter.decode(array, bufferData);
}
else
{
System.arraycopy( array, 0,bufferData, 0,
(array.length<bufferData.length?array.length: bufferData.length) );
}
image = new BufferedImage(cm, raster, false, null);
return image;
}
catch (Exception exception)
{
log.error(exception, exception);
//A NULL return is caught in pagedrawer.Invoke.process() so don't re-throw.
//Returning the NULL falls through to Phlip Koch's TODO section.
return null;
}
}
/**
* Writes the image as .png.
*
* {@inheritDoc}
*/
public void write2OutputStream(OutputStream out) throws IOException
{
getRGBImage();
if (image!=null)
{
ImageIO.write(image, "png", out);
}
}
/**
* DecodeParms is an optional parameter for filters.
*
* It is provided if any of the filters has nondefault parameters. If there
* is only one filter it is a dictionary, if there are multiple filters it
* is an array with an entry for each filter. An array entry can hold a null
* value if only the default values are used or a dictionary with
* parameters.
*
* @return The decoding parameters.
*
*/
public COSDictionary getDecodeParams()
{
COSBase decodeParms = getCOSStream().getDictionaryObject("DecodeParms");
if (decodeParms != null)
{
if (decodeParms instanceof COSDictionary)
{
return (COSDictionary) decodeParms;
}
else if (decodeParms instanceof COSArray)
{
// not implemented yet, which index should we use?
return null;//(COSDictionary)((COSArray)decodeParms).get(0);
}
else
{
return null;
}
}
return null;
}
/**
* A code that selects the predictor algorithm.
*
* <ul>
* <li>1 No prediction (the default value)
* <li>2 TIFF Predictor 2
* <li>10 PNG prediction (on encoding, PNG None on all rows)
* <li>11 PNG prediction (on encoding, PNG Sub on all rows)
* <li>12 PNG prediction (on encoding, PNG Up on all rows)
* <li>13 PNG prediction (on encoding, PNG Average on all rows)
* <li>14 PNG prediction (on encoding, PNG Paeth on all rows)
* <li>15 PNG prediction (on encoding, PNG optimum)
* </ul>
*
* Default value: 1.
*
* @return predictor algorithm code
*/
public int getPredictor()
{
COSDictionary decodeParms = getDecodeParams();
if (decodeParms != null)
{
int i = decodeParms.getInt("Predictor");
if (i != -1)
{
return i;
}
}
return 1;
}
}