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Image Processing Techniques using the Java TM Advanced Imaging TM (JAI) API Framework Bill Champlin UCCS / CS525 Spring ‘08.

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Presentation on theme: "Image Processing Techniques using the Java TM Advanced Imaging TM (JAI) API Framework Bill Champlin UCCS / CS525 Spring ‘08."— Presentation transcript:

1 Image Processing Techniques using the Java TM Advanced Imaging TM (JAI) API Framework Bill Champlin UCCS / CS525 Spring ‘08

2 2 Agenda Project Description –Project Purpose Overview of JAI API Capabilities Installing JAI Programming Techniques –Programming Model and Application Development Steps –Example Image Processing Code Fragments Conclusions / Recommendations References

3 3 Project Description The purpose of this project is to: –Discover the image processing (IP) capabilities of Sun Microsystems JAI API –Learn the programming techniques necessary to write JAI based applications –Report on how some other projects have leveraged JAI (see project paper) Astronomy Medical Imaging Database Transportation Planetary Exploration (viewing surface images of Mars, Venus, moons of Jupiter, etc)

4 4 JAI API Capabilities JAI is an API package that greatly simplifies developing applications requiring the use of IP algorithms –Provides over 80 pre-canned algorithms to save developing from scratch –Provides a high level API for using these algorithms –Extends existing Java 2D imaging capabilities Consequently integrates well with Java 2D (AWT) and Swing APIs –Using organizations can integrate custom algorithms Highly portable – runs on any hardware and O/S Java does Algorithms supported include: –Vector math routines applied to the same pixels from one or more images i.e. add, subtract, or, xor, log, extrema (min/max) and creating a histogram – Image transformation routines i.e. convolving, edge detection, and filtering (low / high pass filters) –Geometric transforms including rotation, scaling, translation and warping –Frequency operator encoding / decoding (codecs) i.e. DCT/IDCT and DFT/IDFT

5 5 JAI API Capabilities – con’t Additional Supported Capabilities –Overlaying one image on top of another –Creating the composite of two images using Transparency –Tiling of images, so only those visible portions need to be processed –Creating client/server imaging applications –Easy creation of custom color lookup tables (CLUTs) and running an image through a CLUT –Ability to apply different color systems to an image and convert between them i.e. CIE/CMYK/RGB

6 6 Installation Download and install the Java Development Toolkit (JDK) or Java Run- Time Environment (JRE) if only running applications Download and install JAI API from Sun’s Java website (see references) Setup run path to find “java” and classpath to find 3 JAI jar files, plus maximum heap memory size option (-Xmx), but only if needed Optionally download JAI demonstration tutor program (see references) Example setting paths and running: Prompt>path=.\jre1.6.0_03\bin Prompt>java -Xmx32m –classpath.;./classes;jai_core.jar;jai_codec.jar;mlibwrapper_jai.jar; Tutor Run from IDE or put “java” command as above into.bat file or run directly from command line

7 7 Programming Techniques Programming model: Creates a “pipeline” of IP objects “Deferred execution” causes pipeline to execute only when final result is requested Programming Steps: Fetch images For each Algo. to execute: -Build parameter list -Invoke Static JAI “create” Operation -Do something with results i.e. pipe to next operation, display images, or save them

8 8 Programming Techniques – cont’d Example IP Code Fragments Loading an image file from disk (correct codec automatically used) PlanarImage myImage = JAI.create(“fileload”, “C:/images/galaxyPicture.jpeg”); Or alternatively, to load an image from the internet: PlanarImage myImage = JAI.create("url", new URL("")); Rotating an image (where angle is a float initially set to 0 degrees): public void actionPerformed(ActionEvent event) { // method called if button pressed angle += 45; // increase rotation angle by 45 degrees ParameterBlock pb = new ParameterBlock(); // create parm list pb.addSource(myImage); // add image to parameter list pb.add(width / 2.0F); // x origin parameter is one-half image width pb.add(height / 2.0F); // y origin parameter is one-half image height pb.add((float) Math.toRadians((double) angle)); // angle parameter pb.add(new InterpolationNearest());// how to fill in angles parameters image = JAI.create("Rotate", pb, null); // execute the operation and get an image canvas.set(image);}// display result image (note:could pipe into another operation)

9 9 Conclusions/Recommendations Conclusions: –JAI makes it easy to develop IP applications and it saves substantial programming effort over re-coding algorithms –JAI is more portable typical C libraries targeted for specific platforms –To date, JAI has been a well kept secret as information is scattered amongst various sources on the internet and it is not yet in widespread use Wikipedia entry just appeared in mid April JAI Tutorial not previously build-able due to missing files (until the last few weeks) Sun’s JAI project team now appears to be actively working demos, fixing bugs, etc. so JAI use should now become more widespread Recommendations: –Performance Improvement Suggestions: Change underlying data storage to use Java I/O buffer classes to save copying between buffer storage types Modify IP algorithm code to create multiple threads for processing large images to leverage multi-cores –Create an IP algo chaining editor tool to build algo pipelines and execute them (considering as a possible master’s project)

10 10 References Project Website: 1.Project Wiki: Resources: 2.Sun Microsystems. Programming in Java Advanced Imaging, Release 1.0.1, Palo Alto. CA, November R. Santos. Java Advanced Imaging API: A Tutorial. RITA Vol. XI Number 1, 2004, ( 4.JAI API doc page: apidocs/ apidocs/ 5.JAI API download page: JAI Tutorial: 7.Developer Forum: 8.Sun’s Java JAI project: Sample Using Projects: 9.JAI Success Stories: 10.Univ. Washington Intelligent Transportation System: media/jai/success/uw-its.html media/jai/success/uw-its.html 11.LMCO Web based Electronic Light Table (WebELT): media/jai/success/lmco.html media/jai/success/lmco.html Note: JAI Logo Icon taken from 6 above - JAI Tutorial “images” directory; warping code on slide 14 taken from 6 above - JAI Tutorial source code

11 11 Backup Slides

12 12 Rotation Example See code on slide 8

13 13 Gamma Scaling Example Gamma Scaling ramps up dimmer pixel values: int value = slider.getValue(); double gamma = value / 100.0; double x; // gamma is for (int i = 0; i < 256; i++){ x = i / 256.0; // values are x = * Math.pow(x, gamma); tableData[0][i] = (byte)x; tableData[1][i] = (byte)x; tableData[2][i] = (byte)x; } ParameterBlock pb = new ParameterBlock(); pb.addSource(image); pb.add(new LookupTableJAI(tableData)); target = JAI.create("lookup", pb, null); display.set(target);

14 14 Warping Example Warping translates image pts thru a polynomial With coefficients set by control pt locations: float[] srcCoords = new float[200]; float[] dstCoords = new float[200]; warp = WarpPolynomial.createWarp(srcCoords, 0, dstCoords, 0,2*numPoints,1.0F/width, 1.0F/height, (float)width, (float)height,degree); float[][] tcoeffs = warp.getCoeffs(); int length = tcoeffs[0].length; coeffs = new float[2 * length]; for (int i = 0; i < length; i++) { coeffs[i] = tcoeffs[0][i]; coeffs[i+length] = tcoeffs[1][i];} ParameterBlock pb = new ParameterBlock(); pb.addSource(srcImage); pb.add(warp); pb.add(new InterpolationNearest()); dstImage = JAI.create("warp", pb);

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