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. 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 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.
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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 Vector Quantization Differential Encoding Transforms, Subbands, and Wavelets Transform Coding Subband Coding Wavelet-Based Compression Audio Coding Video Compression. 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. 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. His research interests include data compression, joint source channel coding, and bioinformatics.
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Skip to content. Search for books, journals or webpages All Pages Books Journals. However, due to transit disruptions in some geographies, deliveries may be delayed. View on ScienceDirect. Author: Khalid Sayood. Paperback ISBN: Imprint: Morgan Kaufmann. Published Date: 23rd October Page Count: For regional delivery times, please check When will I receive my book? Sorry, this product is currently out of stock. Flexible - Read on multiple operating systems and devices.
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A AndyNarsesian Verified Buyer. Covers a lot of ground but weak on the maths. Review by AndyNarsesian on 29 Dec review stating 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! Was this review helpful? If you wish to place a tax exempt order please contact us.
Introduction to Data Compression
Introduction to Data Compression, Third Edition, is a concise and comprehensive guide to data compression. This book introduces the reader 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, it covers lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. It includes all the cutting edge updates the reader will need during the work day and in class. This edition adds new content on the topic of audio compression including a description of the mp3 algorithm, along with a new video coding standard and new facsimile standard explained.