Digital Pictures: Representation, Compression and Standards / Edition 2

by Arun N. Netravali, Barry G. Haskell

Overview

The Second Edition details the established international standards for digital imagery. Chapters discuss standards for the digitalization of bilevel images, color pictures, video conferencing, and television.

Product Details

ISBN-13:	9780306449178
Publisher:	Springer US
Publication date:	01/31/1995
Series:	Applications of Communications Theory
Edition description:	2nd ed. 1995
Pages:	706
Product dimensions:	0.00(w) x 0.00(h) x 0.07(d)

Table of Contents

Numerical Representation of Visual Information. Common Picture Communication Systems. Redundancy-Statistics Models. Visual Psychophysics. Basic Compression Techniques. Examples of Codec Designs. Still Image Coding Standards-ISO JBIG and JPEG. CCITT H.261 (P*64) Videoconferencing Standards. Coding for Entertainment Video-ISO MPEG. High Definition Television. Postscript. Index.

Editorial Reviews

‘Well written, well illustrated, and with numerous references, this book is recommended for libraries serving academic programs in engineering and computer science.'
Choice
‘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.'
Nature
‘This will no doubt be the authoritative reference on these matters for some time to come.'
Ultramicroscopy

From the Publisher

Since the first edition of 1988, several international standards have been established for digitization of bilevel images, color pictures, videoconferencing, and television. The authors address these 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. They also cover the fundamentals and practical algorithms of image digitization and compression. They conclude with a review of source encoding limitations and brief descriptions of two approaches to model-based coding of video. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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