
Introduction to Data Compression
Khalid Sayood(Author)
Morgan Kaufmann (Publisher)
5th Edition
Published on 23. October 2017
Book
Paperback/Softback
790 pages
978-0-12-809474-7 (ISBN)
Description
Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression.
Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field.
Khalid Sayood 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, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization.
The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.
Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field.
Khalid Sayood 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, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization.
The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.
More details
Series
Edition
5th edition
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
College/higher education
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
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 236 mm
Width: 189 mm
Thickness: 43 mm
Weight
1591 gr
ISBN-13
978-0-12-809474-7 (9780128094747)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Khalid Sayood
Introduction to Data Compression
E-Book
10/2017
5th Edition
Morgan Kaufmann
€77.99
Available for download
Previous edition

Khalid Sayood
Introduction to Data Compression
Book
12/2012
4th Edition
Morgan Kaufmann
€76.74
Article exhausted; check for reprint
Person
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.
Author
Department of Electrical and Computer Engineering, University of Nebraska, Lincoln, Nebraska, USA
Content
1. Introduction
2. Mathematical Preliminaries for Lossless Compression
3. Huffman Coding
4. Arithmetic Coding
5. Dictionary Techniques
6. Context-Based Compression
7. Lossless Image Compression
8. Mathematical Preliminaries for Lossy Coding
9. Scalar Quantization
10. Vector Quantization
11. Differential Encoding
12. Mathematical Preliminaries for Transforms, Subbands, and Wavelets
13. Transform Coding
14. Subband Coding
15. Wavelets
16. Wavelet-Based Image Compression
17. Audio Coding
18. Analysis/Synthesis and Analysis by Synthesis Schemes
19. Video Compression
APPENDIX A: Probability and Random Processes
APPENDIX B: A Brief Review of Matrix Concepts
APPENDIX C: The Root Lattices
2. Mathematical Preliminaries for Lossless Compression
3. Huffman Coding
4. Arithmetic Coding
5. Dictionary Techniques
6. Context-Based Compression
7. Lossless Image Compression
8. Mathematical Preliminaries for Lossy Coding
9. Scalar Quantization
10. Vector Quantization
11. Differential Encoding
12. Mathematical Preliminaries for Transforms, Subbands, and Wavelets
13. Transform Coding
14. Subband Coding
15. Wavelets
16. Wavelet-Based Image Compression
17. Audio Coding
18. Analysis/Synthesis and Analysis by Synthesis Schemes
19. Video Compression
APPENDIX A: Probability and Random Processes
APPENDIX B: A Brief Review of Matrix Concepts
APPENDIX C: The Root Lattices