VLSI Architecture of Block Coder in JPEG 2000: Understanding Embedded Block Coding technique of JPEG 2000: The VLSI Perspective

Sarawadekar, Kishor

ISBN 10: 3843355843 / ISBN 13: 9783843355841

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS.

Seller Inventory # ERICA77338433558436

Bibliographic Details

• Title: VLSI Architecture of Block Coder in JPEG 2000: Understanding Embedded Block Coding technique of JPEG 2000: The VLSI Perspective
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3843355843
• ISBN 13: 9783843355841
• Binding: Paperback
• Condition: Like New
• Book Type: book

About this title

Synopsis

With the growth in multimedia technology, demand for high speed real time image compression system has also increased. JPEG 2000 still image compression standard is developed to cater such application requirements. It offers numerous advantages over traditional JPEG standard. The key algorithms adopted in this standard are discrete wavelet transform (DWT) and embedded block coding with optimized truncation (EBCOT). Both the algorithms are computation intensive and when implemented on general purpose processor, they are unsuitable for real time applications. Therefore, to meet the timing constraints imposed by the real time systems dedicated VLSI implementation of these algorithms is imperative. EBCOT is a two-tier coder. Tier-1 is a context based adaptive arithmetic coder and Tier-2 performs layered bit stream formation. Tier-1 is further partitioned into block coder and MQ coder. To a novice, it is difficult to grasp the operating principle of the block coder and hence it is difficult to realize high speed JPEG 2000 architecture. The author has made an attempt to demystify these concepts and presented a simplified VLSI architecture of the block coder in this book.

About the Author

Kishor Sarawadekar received his M. Tech. degree in 2007 from Indian Institute of Technology, Kharagpur, India, where he is currently pursuing the Ph.D. degree. His research interests include algorithm and architecture for image/video signal processing, image coding system JPEG 2000, bio-medical image processing, and related VLSI designs.