/*
* 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.predictor;
import java.util.Random;
/**
* Implements different PNG predictor algorithms that is used in PDF files.
*
* @author xylifyx@yahoo.co.uk
* @version $Revision: 1.1 $
* @see <a href="http://www.w3.org/TR/PNG-Filters.html">PNG Filters</a>
*/
public abstract class PredictorAlgorithm
{
private int width;
private int height;
private int bpp;
/**
* check that buffer sizes matches width,height,bpp. This implementation is
* used by most of the filters, but not Uptimum.
*
* @param src The source buffer.
* @param dest The destination buffer.
*/
public void checkBufsiz(byte[] src, byte[] dest)
{
if (src.length != dest.length)
{
throw new IllegalArgumentException("src.length != dest.length");
}
if (src.length != getWidth() * getHeight() * getBpp())
{
throw new IllegalArgumentException(
"src.length != width * height * bpp");
}
}
/**
* encode line of pixel data in src from srcOffset and width*bpp bytes
* forward, put the decoded bytes into dest.
*
* @param src
* raw image data
* @param dest
* encoded data
* @param srcDy
* byte offset between lines
* @param srcOffset
* beginning of line data
* @param destDy
* byte offset between lines
* @param destOffset
* beginning of line data
*/
public abstract void encodeLine(byte[] src, byte[] dest, int srcDy,
int srcOffset, int destDy, int destOffset);
/**
* decode line of pixel data in src from src_offset and width*bpp bytes
* forward, put the decoded bytes into dest.
*
* @param src
* encoded image data
* @param dest
* raw data
* @param srcDy
* byte offset between lines
* @param srcOffset
* beginning of line data
* @param destDy
* byte offset between lines
* @param destOffset
* beginning of line data
*/
public abstract void decodeLine(byte[] src, byte[] dest, int srcDy,
int srcOffset, int destDy, int destOffset);
/**
* Simple command line program to test the algorithm.
*
* @param args The command line arguments.
*/
public static void main(String[] args)
{
Random rnd = new Random();
int width = 5;
int height = 5;
int bpp = 3;
byte[] raw = new byte[width * height * bpp];
rnd.nextBytes(raw);
System.out.println("raw: ");
dump(raw);
for (int i = 10; i < 15; i++)
{
byte[] decoded = new byte[width * height * bpp];
byte[] encoded = new byte[width * height * bpp];
PredictorAlgorithm filter = PredictorAlgorithm.getFilter(i);
filter.setWidth(width);
filter.setHeight(height);
filter.setBpp(bpp);
filter.encode(raw, encoded);
filter.decode(encoded, decoded);
System.out.println(filter.getClass().getName());
dump(decoded);
}
}
/**
* Get the left pixel from the buffer.
*
* @param buf The buffer.
* @param offset The offset into the buffer.
* @param dy The dy value.
* @param x The x value.
*
* @return The left pixel.
*/
public int leftPixel(byte[] buf, int offset, int dy, int x)
{
return x >= getBpp() ? buf[offset + x - getBpp()] : 0;
}
/**
* Get the above pixel from the buffer.
*
* @param buf The buffer.
* @param offset The offset into the buffer.
* @param dy The dy value.
* @param x The x value.
*
* @return The above pixel.
*/
public int abovePixel(byte[] buf, int offset, int dy, int x)
{
return offset >= dy ? buf[offset + x - dy] : 0;
}
/**
* Get the above-left pixel from the buffer.
*
* @param buf The buffer.
* @param offset The offset into the buffer.
* @param dy The dy value.
* @param x The x value.
*
* @return The above-left pixel.
*/
public int aboveLeftPixel(byte[] buf, int offset, int dy, int x)
{
return offset >= dy && x >= getBpp() ? buf[offset + x - dy - getBpp()]
: 0;
}
/**
* Simple helper to print out a buffer.
*
* @param raw The bytes to print out.
*/
private static void dump(byte[] raw)
{
for (int i = 0; i < raw.length; i++)
{
System.out.print(raw[i] + " ");
}
System.out.println();
}
/**
* @return Returns the bpp.
*/
public int getBpp()
{
return bpp;
}
/**
* @param newBpp
* The bpp to set.
*/
public void setBpp(int newBpp)
{
bpp = newBpp;
}
/**
* @return Returns the height.
*/
public int getHeight()
{
return height;
}
/**
* @param newHeight
* The height to set.
*/
public void setHeight(int newHeight)
{
height = newHeight;
}
/**
* @return Returns the width.
*/
public int getWidth()
{
return width;
}
/**
* @param newWidth
* The width to set.
*/
public void setWidth(int newWidth)
{
this.width = newWidth;
}
/**
* encode a byte array full of image data using the filter that this object
* implements.
*
* @param src
* buffer
* @param dest
* buffer
*/
public void encode(byte[] src, byte[] dest)
{
checkBufsiz(dest, src);
int dy = getWidth()*getBpp();
for (int y = 0; y < height; y++)
{
int yoffset = y * dy;
encodeLine(src, dest, dy, yoffset, dy, yoffset);
}
}
/**
* decode a byte array full of image data using the filter that this object
* implements.
*
* @param src
* buffer
* @param dest
* buffer
*/
public void decode(byte[] src, byte[] dest)
{
checkBufsiz(src, dest);
int dy = width * bpp;
for (int y = 0; y < height; y++)
{
int yoffset = y * dy;
decodeLine(src, dest, dy, yoffset, dy, yoffset);
}
}
/**
* @param predictor
* <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>
*
* @return The predictor class based on the predictor code.
*/
public static PredictorAlgorithm getFilter(int predictor)
{
PredictorAlgorithm filter;
switch (predictor)
{
case 10:
filter = new None();
break;
case 11:
filter = new Sub();
break;
case 12:
filter = new Up();
break;
case 13:
filter = new Average();
break;
case 14:
filter = new Paeth();
break;
case 15:
filter = new Optimum();
break;
default:
filter = new None();
}
return filter;
}
}
|