Your definitive guide to state-of-the-art image compression

With excellent image quality at low bit rate, progressive transmission, scalability, region-of-interest coding, random access, error resilience, and many other salient features, the JPEG2000 standard for scalable image compression is rapidly becoming the cornerstone of today’s innovative multimedia industry.

Providing comprehensive and accessible coverage of the new JPEG2000 standard, this timely and authoritative text provides a clear overview of both the theory and principles behind the algorithms, and a solid foundation of multimedia compression techniques. Written by one of JPEG2000’s key developers, this crucial reference features:

* Introduction of the compression principles for different multimedia data-types
* A review of the current JPEG standard, its advantages and disadvantages
* Principles of Discrete Wavelet Transform (DWT) and its efficient implementation
* VLSI architectures for Discrete Wavelet Transform and case studies
* Details of the underlying core algorithms, code-stream organization, and formation of the compressed file for the JPEG2000 standard
* The VLSI implementation of JPEG2000 for hardware such as digital cameras, color faxes, printers, scanners, etc.
* A discussion of open issues not clearly defined by the standard

Numerous practical examples, illustrations, and related references, plus a discussion of open issues makes this text a must-have for electrical engineering and computer science students and practitioners alike.

Author Bio:TINKU ACHARYA, PhD, is Chief Science Officer and Senior Executive Vice President of Avisere, Inc., Tucson, Arizona, and an adjunct professor in the Department of Electrical Engineering at Arizona State University, Tempe, Arizona. With seventy-four U.S. patents, fourteen European patents, and more than fifty patents pending, Professor Acharya has been recognized as Intel Corporation’s "Most Prolific Inventor" in 1999 and 2001 worldwide and for five consecutive years (1997—2001) in Arizona. He has published three books and more than sixty papers in the area of multimedia computing.
PING-SING TSAI, PhD, is Assistant professor in the Department of Computer Science of the University of Texas-Pan American, in Edinburg, Texas. He has published more than twenty journal and conference papers, holds thirteen patents, and has five patents pending.