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Programming in Java Advanced Imaging
This document introduces the Java Advanced Imaging API and how to program in it. This document is intended for serious programmers who want to use Java Advanced Imaging for real projects. To best understand this document and the examples, you need a solid background in the Java programming language and some experience with imaging. In addition, you will need a working knowledge of other Java Extension APIs, depending on your intended application:
Building Imaging Applications with Java Technology: Using AWT Imaging, Java 2D, and Java Advanced Imaging (JAI)
Author: Lawrence H. Rodrigues
ISBN: 0201700743
With the advent of Java 2D and the Java Advanced Imaging API (JAI), sophisticated imaging functionality can now be incorporated into Java[tm] applets and applications. This new capability facilitates the creation of cross-platform, Internet-enabled imaging software. Written with practicing programmers in mind, Building Imaging Applications with Java Technology is a practical how-to guide. Avoiding complex mathematics that can bog you down, this book focuses on exactly the information imaging programmers need to know to producehigh-quality imaging software with Advanced Window Toolkit (AWT), Java 2D, and JAI.
You can order this book from Powells.com.
Java Media APIs: Cross-Platform Imaging, Media, and Visualization
Authors: Alejandro Terrazas, John Ostuni, Michael Barlow
ISBN: 0672320940
Presents integrated Java media solutions that demonstrate the best practices for using this diverse collection. According to Sun MicroSystems, "This set of APIs supports the integration of audio and video clips, animated presentations, 2D fonts, graphics, and images, as well as speech input/output and 3D models." By presenting each API in the context of its appropriate use within an integrated media application, the authors both illustrate the potential of the APIs and offer the architectural guidance necessary to build compelling programs.
You can view this book on line.
Machine Vision Algorithms in Java: Techniques and Implementation
Authors: Paul F. Whelan and Derek Molloy
ISBN: 1852332182
Provides a comprehensive introduction to the algorithms and techniques associated with machine vision systems. The Java programming language is also introduced, with particular reference to its imaging capabilities including the Java 2D imaging and Java Advanced Imaging (JAI) APIs. The book contains explanations of key machine vision techniques and algorithms, along with the associated Java source code.
You can order this book from the publisher.
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