Introduction to Data Compression (The Morgan Kaufmann Series in Multimedia Information and Systems)

Sayood Ph.D., Khalid

ISBN 10: 0124157963 / ISBN 13: 9780124157965

Published by Morgan Kaufmann, 2012

About this Item

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Bibliographic Details

• Title: Introduction to Data Compression (The Morgan Kaufmann Series in Multimedia Information and Systems)
• Publisher: Morgan Kaufmann
• Publication Date: 2012
• Language: English
• ISBN 10: 0124157963
• ISBN 13: 9780124157965
• Binding: Hardcover
• Edition: 4th Edition
• Condition: Good

About this title

Synopsis

Introduction to Data Compression, Fourth Edition, is a concise and comprehensive guide to the art and science of data compression. This new edition includes all the cutting edge updates the reader will need during the work day and in class. It provides an extensive introduction to the theory underlying today’s compression techniques with detailed instruction for their applications using several examples to explain the concepts.Encompassing the entire field of data compression, this book covers lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. New to this fourth edition is a more detailed description of the JPEG 2000 standard as well as speech coding for internet applications. A source code is also provided via a companion web site that gives readers the opportunity to build their own algorithms, choose and implement techniques in their own applications.This text will appeal to professionals, software and hardware engineers, students, and anyone interested in digital libraries and multimedia.

• New content added to include a more detailed description of the JPEG 2000 standard
• New content includes speech coding for internet applications
• Explains established and emerging standards in depth including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, and iLBC
• Source code provided via companion web site that gives readers the opportunity to build their own algorithms, choose and implement techniques in their own applications

About the Author

Khalid Sayood received his BS and MS in Electrical Engineering from the University of Rochester in 1977 and 1979, respectively, and his Ph.D. in Electrical Engineering from Texas A&M University in 1982. In 1982, he joined the University of Nebraska, where he is the Heins Professor of Engineering. His research interests include data compression, joint source channel coding, and bioinformatics.