Data Compression

Data Compression

Author: David Salomon

Publisher: Springer Science & Business Media

Published: 2006-05-09

Total Pages: 912

ISBN-13: 0387218327

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A comprehensive reference for the many different types and methods of compression, including a detailed and helpful taxonomy, an analysis of the most common methods, and discussions on their use and comparative benefits. The presentation is organized into the main branches of the field: run length encoding, statistical methods, dictionary-based methods, image compression, audio compression, and video compression. Detailed descriptions and explanations of the most well- known and frequently used methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists. In short, the book provides an invaluable reference and guide for all computer scientists, computer engineers, electrical engineers, signal/image processing engineers and other scientists needing a comprehensive compilation for a broad range of compression methods.


Introduction to Data Compression

Introduction to Data Compression

Author: Khalid Sayood

Publisher: Elsevier

Published: 2006

Total Pages: 704

ISBN-13: 012620862X

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"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 Introduction to Data Compression, includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of his book."--BOOK JACKET.


Information Systems and Data Compression

Information Systems and Data Compression

Author: Jerzy A. Seidler

Publisher: Springer

Published: 2007-08-19

Total Pages: 488

ISBN-13: 0585279993

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Information Systems and Data Compression presents a uniform approach and methodology for designing intelligent information systems. A framework for information concepts is introduced for various types of information systems such as communication systems, information storage systems and systems for simplifying structured information. The book introduces several new concepts and presents a novel interpretation of a wide range of topics in communications, information storage, and information compression. Numerous illustrations for designing information systems for compression of digital data and images are used throughout the book.


Introduction to Data Compression

Introduction to Data Compression

Author: Khalid Sayood

Publisher: Newnes

Published: 2012-10-16

Total Pages: 766

ISBN-13: 0124157963

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Mathematical preliminaries for lossless compression -- Huffman coding -- Arithmetic coding -- Dictionary techniques -- Context-based compression -- Lossless image compression -- Mathematical preliminaries for lossy coding -- Scalar quantization -- Vector quantization -- Differential encoding -- Mathematical preliminaries for transforms, subbands, and wavelets -- Transform coding -- Subband coding -- Wavelets -- Wavelet-based image compression -- Audio coding -- Analysis/synthesis and analysis by synthesis schemes -- Video compression -- Probability and random processes -- A brief review of matrix concepts --The root lattices.


Handbook of Data Compression

Handbook of Data Compression

Author: David Salomon

Publisher: Springer Science & Business Media

Published: 2010-01-18

Total Pages: 1370

ISBN-13: 1848829035

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Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon data compression. This book provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of "how to" use them. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and non-specialists.


The Transform and Data Compression Handbook

The Transform and Data Compression Handbook

Author: Kamisetty Ramam Rao

Publisher: CRC Press

Published: 2018-10-03

Total Pages: 410

ISBN-13: 1420037382

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Data compression is one of the main contributing factors in the explosive growth in information technology. Without it, a number of consumer and commercial products, such as DVD, videophone, digital camera, MP3, video-streaming and wireless PCS, would have been virtually impossible. Transforming the data to a frequency or other domain enables even more efficient compression. By illustrating this intimate link, The Transform and Data Compression Handbook serves as a much-needed handbook for a wide range of researchers and engineers. The authors describe various discrete transforms and their applications in different disciplines. They cover techniques, such as adaptive quantization and entropy coding, that result in significant reduction in bit rates when applied to the transform coefficients. With clear and concise presentations of the ideas and concepts, as well as detailed descriptions of the algorithms, the authors provide important insight into the applications and their limitations. Data compression is an essential step towards the efficient storage and transmission of information. The Transform and Data Compression Handbook provides a wealth of information regarding different discrete transforms and demonstrates their power and practicality in data compression.


Hyperspectral Data Compression

Hyperspectral Data Compression

Author: Giovanni Motta

Publisher: Springer Science & Business Media

Published: 2006-06-03

Total Pages: 422

ISBN-13: 0387286004

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Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original). Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification. Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image. Chapter 13 examines artifacts that can arise from lossy compression.


Satellite Data Compression

Satellite Data Compression

Author: Bormin Huang

Publisher: Springer Science & Business Media

Published: 2011-11-25

Total Pages: 312

ISBN-13: 1461411831

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Satellite Data Compression covers recent progress in compression techniques for multispectral, hyperspectral and ultra spectral data. A survey of recent advances in the fields of satellite communications, remote sensing and geographical information systems is included. Satellite Data Compression, contributed by leaders in this field, is the first book available on satellite data compression. It covers onboard compression methodology and hardware developments in several space agencies. Case studies are presented on recent advances in satellite data compression techniques via various prediction-based, lookup-table-based, transform-based, clustering-based, and projection-based approaches. This book provides valuable information on state-of-the-art satellite data compression technologies for professionals and students who are interested in this topic. Satellite Data Compression is designed for a professional audience comprised of computer scientists working in satellite communications, sensor system design, remote sensing, data receiving, airborne imaging and geographical information systems (GIS). Advanced-level students and academic researchers will also benefit from this book.