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Digital Pictures: Representation, Compression and Standards (Applications of Communications Theory) 2nd Edition

ISBN-13: 978-0306449178
ISBN-10: 030644917X
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Editorial Reviews


`Well written, well illustrated, and with numerous references, this book is recommended for libraries serving academic programs in engineering and computer science.'
`Few authors can have succeeded so well in practising what they preach...Netravali and Haskell have compressed a vast amount of data into a single volume and the human task of decoding it is not unduly daunting.'
`This will no doubt be the authoritative reference on these matters for some time to come.'

From the Back Cover

Since the first edition of Digital Pictures in 1988, several international standards have been established for digitization of bilevel images, color pictures, videoconferencing, and television. In Digital Pictures, Second Edition, Arun N. Netravali and Barry G. Haskell address these modern innovations and review recently established international standards for digital imagery. They discuss the current state of the art, including JBIG, JPEG, H.261, CCIR601, CCIR723, MPEG1, MPEG2, and HDTV technology. Their book also thoroughly covers the fundamentals and practical algorithms of image digitization and compression. The text's new chapters feature examples and questions designed to stimulate greater understanding of the topics which describe: basic aspects of the JBIG algorithm and different JPEG operating modes; some methodologies used for video codecs operating at subprimary bit-rates; a generic coding standard that can be used in many digital video implementations; and the main characteristics of HDTV; its current state in Europe, Japan, and the United States; and expected future developments. Digital Pictures, Second Edition, concludes with a review of source encoding limitations and brief descriptions of two approaches to model-based coding of video. Its comprehensive coverage of progress in the field will be valuable for communication systems engineers and researchers working in the areas of image compression, communication, and processing. Advanced undergraduate and graduate students will find it an essential text on image digitization, processing, coding, and compression.

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