Eric J. Bowersox 99f9d580f4 code now clean compiles using newer versions of various libraries - this will
all get documented properly soon, need to update this for the new server...
also changed all the E-mail addresses in the old java source to match present
reality
2006-01-25 08:13:41 +00:00

194 lines
8.0 KiB
Java

/*
* The contents of this file are subject to the Mozilla Public License Version 1.1
* (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.mozilla.org/MPL/>.
*
* Software distributed under the License is distributed on an "AS IS" basis, WITHOUT
* WARRANTY OF ANY KIND, either express or implied. See the License for the specific
* language governing rights and limitations under the License.
*
* The Original Code is the Venice Web Communities System.
*
* The Initial Developer of the Original Code is Eric J. Bowersox <erbo@users.sf.net>,
* for Silverwrist Design Studios. Portions created by Eric J. Bowersox are
* Copyright (C) 2001 Eric J. Bowersox/Silverwrist Design Studios. All Rights Reserved.
*
* Contributor(s):
*/
package com.silverwrist.util.image;
import java.awt.Dimension;
import java.awt.image.*;
import java.awt.image.renderable.ParameterBlock;
import java.io.*;
import javax.media.jai.*;
import com.sun.media.jai.codec.*;
/**
* A class that performs "normalization" on an image to fit within a bounding box of a specified pixel
* size. "Normalized" images are scaled down proportionally to fit the bounding box, then centered over
* a black backdrop (so the image will be "letterboxed" if it has a larger H:V aspect ratio than the bounding
* box, or "pillarboxed" if it has a smaller H:V aspect ratio than the bounding box).
*
* @author Eric J. Bowersox &lt;erbo@users.sf.net&gt;
* @version X
*/
public class ImageNormalizer
{
/*--------------------------------------------------------------------------------
* External static operations
*--------------------------------------------------------------------------------
*/
/**
* "Normalizes" an image to fit within a bounding box of a specified pixel size. "Normalized" images are
* scaled down proportionally to fit the bounding box, then centered over a black backdrop (so the image
* will be "letterboxed" if it has a larger H:V aspect ratio than the bounding box, or "pillarboxed" if it
* has a smaller H:V aspect ratio than the bounding box).
*
* @param raw_data Raw image data from the input, in any JAI-recognized format.
* @param width The width of the bounding box to use to normalize the image.
* @param height The height of the bounding box to use to normalize the image.
* @param out_format The desired format for output (such as "JPEG").
* @return The normalized image data and its length, as an <CODE>ImageLengthPair</CODE>.
* @exception com.silverwrist.util.image.ImageNormalizerException An error occurred in the image data or
* the image transformation process.
* @see ImageLengthPair
* @see ImageNormalizerException
*/
public static ImageLengthPair normalizeImage(InputStream raw_data, int width, int height, String out_format)
throws ImageNormalizerException
{
PlanarImage img1; // the "initial" image we're loading
try
{ // Start by loading the image we're working with.
SeekableStream istm = new ForwardSeekableStream(raw_data);
RenderedOp rop1 = JAI.create("stream",istm);
img1 = rop1.getRendering();
} // end try
catch (RuntimeException re)
{ // unable to get the rendering here!
throw new ImageNormalizerException("Image data not a valid image format",re);
} // end catch
try
{ // Compute the scaling factors required to get the image down to the appropriate size, then choose
// the smaller of the two to use as the final scaling factor.
Float scale_width = null, scale_height = null;
if (img1.getWidth()>width)
scale_width = new Float((float)width / (float)(img1.getWidth()));
if (img1.getHeight()>height)
scale_height = new Float((float)height / (float)(img1.getHeight()));
Float scale = null;
if (scale_width!=null)
{ // we can scale by width, how about height?
if (scale_height!=null)
{ // yes, height too...pick the smaller of the two
if (scale_width.floatValue()<scale_height.floatValue())
scale = scale_width;
else
scale = scale_height;
} // end if
else // no, just width
scale = scale_width;
} // end if
else if (scale_height!=null) // can only scale by height
scale = scale_height;
// If we need to scale the image now, do so.
PlanarImage img2; // image post-scaling
if (scale!=null)
{ // scale the image down!
ParameterBlock pb1 = new ParameterBlock();
pb1.addSource(img1);
pb1.add(scale.floatValue());
pb1.add(scale.floatValue());
pb1.add(0.0F);
pb1.add(0.0F);
pb1.add(Interpolation.getInstance(Interpolation.INTERP_BILINEAR));
img2 = JAI.create("scale",pb1);
} // end if
else // just use this as the next image
img2 = img1;
// Figure out the offsets required to center the new image within the "frame."
int offset_x = (width - img2.getWidth()) / 2;
int offset_y = (height - img2.getHeight()) / 2;
// If we need to translate the image now, do so.
PlanarImage img3; // image after scaling and translation
if ((offset_x!=0) || (offset_y!=0))
{ // set up a translation to move the image to the right location
ParameterBlock pb2 = new ParameterBlock();
pb2.addSource(img2);
pb2.add((float)offset_x);
pb2.add((float)offset_y);
pb2.add(Interpolation.getInstance(Interpolation.INTERP_NEAREST));
img3 = JAI.create("translate",pb2);
} // end if
else // just take the image as it is
img3 = img2;
// To set up the backdrop, first we need to create an image of the right size but with the same
// sample model and color model as our transformed image.
TiledImage back1 = new TiledImage(0,0,width,height,0,0,img3.getSampleModel(),img3.getColorModel());
// Now we need to make that image black. The easiest way to do that is multiply all pixel
// values in the image by 0.
ParameterBlock pb = new ParameterBlock();
pb.addSource(back1);
double[] parms = new double[1];
parms[0] = 0.0;
pb.add(parms);
PlanarImage back2 = JAI.create("multiplyconst",pb);
// Now overlay the scaled/translated image on top of the background to get the final image.
PlanarImage final_img = JAI.create("overlay",back2,img3);
// With our final image in hand, we can now encode it in the desired output format and turn
// it into a streamful of data.
ByteArrayOutputStream ostm = new ByteArrayOutputStream(4096);
JAI.create("encode",final_img,ostm,out_format,null);
byte[] odata = ostm.toByteArray();
ostm.close();
return new ImageLengthPair(odata.length,new ByteArrayInputStream(odata));
} // end try
catch (Exception e)
{ // catchall exception
throw new ImageNormalizerException("unspecified error in scaling or translation",e);
} // end catch
} // end normalizeImage
/**
* "Normalizes" an image to fit within a bounding box of a specified pixel size. "Normalized" images are
* scaled down proportionally to fit the bounding box, then centered over a black backdrop (so the image
* will be "letterboxed" if it has a larger H:V aspect ratio than the bounding box, or "pillarboxed" if it
* has a smaller H:V aspect ratio than the bounding box).
*
* @param raw_data Raw image data from the input, in any JAI-recognized format.
* @param dim The dimensions of the bounding box to use to normalize the image.
* @param out_format The desired format for output (such as "JPEG").
* @return The normalized image data and its length, as an <CODE>ImageLengthPair</CODE>.
* @exception com.silverwrist.util.image.ImageNormalizerException An error occurred in the image data or
* the image transformation process.
* @see ImageLengthPair
* @see ImageNormalizerException
*/
public static ImageLengthPair normalizeImage(InputStream raw_data, Dimension dim, String out_format)
throws ImageNormalizerException
{
return normalizeImage(raw_data,dim.width,dim.height,out_format);
} // end normalizeImage
} // end class ImageNormalizer