Introduction to Data Compression
Resources
Description
Key Features
- Explains established and emerging standards in- depth, including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, iLBC and the new HEVC standard
- Includes more coverage of lattices in vector quantization
- Contains improved and expanded end-of-chapter problems
- Source code is provided via a companion website that gives readers the opportunity to build their own algorithms and choose and implement techniques in their own applications
Readership
Graduate students in data compression, multimedia, and info theory courses at CS/ECE programs; software and hardware engineers; networking and database professionals working with data and file compression
Table of Contents
1. Introduction
2. Lossless Compression
3. Huffman Coding
4. Arithmetic Coding
5. Dictionary Techniques
6. Context Based Compression
7. Lossless Image Compression
8. Lossy Coding
9. Scalar Quantization
10. Vector Quantization
11. Differential Encoding
12. Transforms, Subbands, and Wavelets
13. Transform Coding
14. Subband Coding
15. Wavelet-Based Compression
16. Audio Coding
17. Analysis/Synthesis and Analysis by Synthesis Schemes
18. Video CompressionAppendix A: Probability and Random Processes
Appendix B: A Brief Review of Matrix Concepts
Appendix C: The Root Lattices
Product details
- No. of pages: 790
- Language: English
- Copyright: © Morgan Kaufmann 2017
- Published: October 23, 2017
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780128094747
- eBook ISBN: 9780128097052
About the Author
Khalid Sayood
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.
Affiliations and Expertise
Latest reviews
(Total rating for all reviews)
AndyNarsesian Sun Dec 29 2019
Covers a lot of ground but weak on the maths
I found this book extremely helpful and easy to read. You can cover a great deal of ground in a limited time and I feel that all the mainstream methods are covered. The book is effectively divided between the first few chapters on lossless compression and a larger number of chapters on lossy compression. My main issue with it is that the exposition of the maths involved is weak. Key theorems are included and, to be fair, much of the maths is not actually needed to understand the book - my feeling is that one needs it mainly to be able to further develop some of the ideas or to tailor them to one's needs more effectively. There are also some algorithms which are incompletely described (you can work out the details on your own, but given how chatty it is elsewhere, consistency would have been good here). For example, in the floating point version of the arithmetic coding, there are some details missing. On balance, though, this is an important book for those who would like an overview of the subject and all-in-all well-written!