The Data Compression Book

Author: Mark Nelson,Jean-Loup Gailly

Publisher: Wiley

ISBN: 9781558514348

Category: Computers

Page: 576

View: 2386

The Data Compression Book Second Edition The Data Compression Book is the most authoritative guide to data compression techniques available. This second edition has been updated to include fractal compression techniques and all the latest developments in the compression field. All the code in the previous edition has been updated to run with today's compilers and has been tested on multiple platforms to ensure flawless performance. You'll learn to write C programs for nearly any environment as you explore different compression methods. Nelson and Gailly discuss the theory behind each method and apply the techniques involved to shrink data down to a minimum. Each technique is illustrated with a complete, functional C program that not only demonstrates how data compression works, but it also can be incorporated into your own data compression programs. You'll also get detailed benchmarks demonstrating the speed and compression ability of each technique. The code in this book has been tested on a variety of platforms and compilers including Microsoft Visual C++ 1.5 with MS-DOS 5.0 and 6.22; Borland C++ 4.0 and 4.5 with MS-DOS 5.0 and 6.22; Symantec C++ 6.0 and 7.0 with MS-DOS 5.0 & 6.22; Interactive Unix System 3.2 with the portable C compiler; Solaris 2.4 with the SunSoft compiler; and Linux 1.1 with the Gnu C Compiler. Topics Include: The Shannon-Fano and Huffman coding techniques Adaptive Huffman coding techniques Lossy compression The JPEG compression algorithm Fractal compression techniques Arithmetic coding Dictionary compression methods

Introduction to Data Compression

Author: Khalid Sayood

Publisher: Newnes

ISBN: 0124157963

Category: Computers

Page: 740

View: 9574

Each edition of Introduction to Data Compression has widely been considered the best introduction and reference text on the art and science of data compression, and the fourth edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. The fourth edition includes all the cutting edge updates the reader will need during the work day and in class. 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. 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

Elements of Data Compression

Author: Adam Drozdek

Publisher: Course Technology Ptr

ISBN: N.A

Category: Computers

Page: 221

View: 3236

Today's increased use of digital sound and video makes data compression crucial to computer technology because of its vast storage and transmission requirements. The question in many applications is now not whether to compress data, but what compression method should be applied. Most data compression books have been written for professionals and require a strong background in data compression techniques as well as an understanding of algorithms based on sophisticated mathematical models. This book is one of a handful of textbooks to present Data Compression for students in an academic environment. This is not a simple task since most of the widely used algorithms rely on sophisticated mathematical models. ELEMENTS OF DATA COMPRESSION addresses the needs of students who will use these techniques on a daily basis. The author accomplishes this through the use of elementary-level representative methods of text, audio, and video compression. Drozdek presents these methods with pseudocode, tables, diagrams, and many worked out examples, all the while employing commonly used techniques that build upon the mathematics students have been exposed to in earlier courses.

Introduction to Data Compression

Author: Khalid Sayood

Publisher: Morgan Kaufmann

ISBN: 9780128094747

Category: Computers

Page: 765

View: 7738

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. 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

Data Compression

The Complete Reference

Author: David Salomon

Publisher: Springer Science & Business Media

ISBN: 1846286034

Category: Computers

Page: 1092

View: 1361

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 nonspecialists. Comments and suggestions of many readers have been included as a benefit to future readers, and a website is maintained and updated by the author.

Hyperspectral Data Compression

Author: Giovanni Motta,Francesco Rizzo,James A. Storer

Publisher: Springer Science & Business Media

ISBN: 0387286004

Category: Computers

Page: 418

View: 532

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.

Die Differenzmaschine

Roman

Author: William Gibson,Bruce Sterling

Publisher: Heyne Verlag

ISBN: 3641087562

Category: Fiction

Page: 624

View: 1097

Mit diesem Roman wurde der Steampunk erfunden London 1855: Das viktorianische England schickt sich an, dank seiner dampfbetriebenen Informationstechnologie ein neues, glücklicheres Zeitalter einzuleiten. Doch in dieser Ära des Aufbruchs und des technischen Fortschritts geraten vier Menschen in einen Strudel aus Brutalität, Gewalt und Zerstörung.

A Concise Introduction to Data Compression

Author: David Salomon

Publisher: Springer Science & Business Media

ISBN: 1848000723

Category: Computers

Page: 314

View: 2942

This clearly written book offers readers a succinct foundation to the most important topics in the field of data compression. Part I presents the basic approaches to data compression and describes a few popular techniques and methods that are commonly used to compress data. The reader will discover essential concepts. Part II concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and Burrows-Wheeler transform. This book is the perfect reference for advanced undergraduates in computer science and requires a minimum of mathematics. An author-maintained website provides errata and auxiliary material.

Handbook of Data Compression

Author: David Salomon,Giovanni Motta

Publisher: Springer Science & Business Media

ISBN: 9781848829039

Category: Computers

Page: 1361

View: 9368

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.

Introduction to Information Theory and Data Compression, Second Edition

Author: Peter D. Johnson, Jr.,Greg A. Harris,D.C. Hankerson

Publisher: CRC Press

ISBN: 9781420035278

Category: Mathematics

Page: 384

View: 7731

An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no prior knowledge of information theory. The treatment of information theory, while theoretical and abstract, is quite elementary, making this text less daunting than many others. After presenting the fundamental definitions and results of the theory, the authors then apply the theory to memoryless, discrete channels with zeroth-order, one-state sources. The chapters on data compression acquaint students with a myriad of lossless compression methods and then introduce two lossy compression methods. Students emerge from this study competent in a wide range of techniques. The authors' presentation is highly practical but includes some important proofs, either in the text or in the exercises, so instructors can, if they choose, place more emphasis on the mathematics. Introduction to Information Theory and Data Compression, Second Edition is ideally suited for an upper-level or graduate course for students in mathematics, engineering, and computer science. Features: Expanded discussion of the historical and theoretical basis of information theory that builds a firm, intuitive grasp of the subject Reorganization of theoretical results along with new exercises, ranging from the routine to the more difficult, that reinforce students' ability to apply the definitions and results in specific situations. Simplified treatment of the algorithm(s) of Gallager and Knuth Discussion of the information rate of a code and the trade-off between error correction and information rate Treatment of probabilistic finite state source automata, including basic results, examples, references, and exercises Octave and MATLAB image compression codes included in an appendix for use with the exercises and projects involving transform methods Supplementary materials, including software, available for download from the authors' Web site at www.dms.auburn.edu/compression

The Transform and Data Compression Handbook

Author: Kamisetty Ramam Rao,Patrick C. Yip

Publisher: CRC Press

ISBN: 1420037382

Category: Computers

Page: 408

View: 4997

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.

Lossless Compression Handbook

Author: Khalid Sayood

Publisher: Elsevier

ISBN: 9780080510491

Category: Technology & Engineering

Page: 454

View: 603

The 21 chapters in this handbook are written by the leading experts in the world on the theory, techniques, applications, and standards surrounding lossless compression. As with most applied technologies, the standards section is of particular importance to practicing design engineers. In order to create devices and communication systems that can communicate and be compatible with other systems and devices, standards must be followed. *Clearly explains the process of compression and transmission of multimedia signals *Invaluable resource for engineers dealing with image processing, signal processing, multimedia systems, wireless technology and more

Variable-length Codes for Data Compression

Author: David Salomon

Publisher: Springer Science & Business Media

ISBN: 9781846289590

Category: Computers

Page: 196

View: 2066

Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties and these can be useful. This book brings this large set of codes to the attention of workers in the field and for students of computer science. The author’s crystal clear style of writing and presentation allows easy access to the topic.

Advances in Visual Data Compression and Communication

Meeting the Requirements of New Applications

Author: Feng Wu

Publisher: CRC Press

ISBN: 1482234157

Category: Technology & Engineering

Page: 513

View: 6330

Visual information is one of the richest and most bandwidth-consuming modes of communication. To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence of growing communication channels that offer increased bandwidth. Presenting the results of the author’s years of research on visual data compression and transmission, Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications provides a theoretical and technical basis for advanced research on visual data compression and communication. The book studies the drifting problem in scalable video coding, analyzes the reasons causing the problem, and proposes various solutions to the problem. It explores the author’s Barbell-based lifting coding scheme that has been adopted as common software by MPEG. It also proposes a unified framework for deriving a directional transform from the nondirectional counterpart. The structure of the framework and the statistic distribution of coefficients are similar to those of the nondirectional transforms, which facilitates subsequent entropy coding. Exploring the visual correlation that exists in media, the text extends the current coding framework from different aspects, including advanced image synthesis—from description and reconstruction to organizing correlated images as a pseudo sequence. It explains how to apply compressive sensing to solve the data compression problem during transmission and covers novel research on compressive sensor data gathering, random projection codes, and compressive modulation. For analog and digital transmission technologies, the book develops the pseudo-analog transmission for media and explores cutting-edge research on distributed pseudo-analog transmission, denoising in pseudo-analog transmission, and supporting MIMO. It concludes by considering emerging developments of information theory for future applications.

Introduction to Information Theory and Data Compression

Author: D.C. Hankerson,Greg A. Harris,Peter D. Johnson, Jr.

Publisher: CRC Press

ISBN: 9780849339851

Category: Mathematics

Page: 352

View: 5186

An effective blend of carefully explained theory and practical applications, this book imparts the basics of both information theory and data compression. Although the two topics are related, this unique treatment allows readers to explore either topic independent of the other. The authors' treatment of Information Theory, while theoretical and abstract, is pitched at an elementary level, less daunting than most other texts. After presenting the fundamental definitions and results of the theory, they then bring the theory to bear on noisy channels. A number of computational examples and exercises are included. The Data Compression section acquaints readers with a myriad of lossless compression methods and introduces then to the weirder world of lossy compression and how one can proceed using various transforms. This section allows readers to emerge broadly conversant with and competent in a large range of techniques. The unique, flexible presentation in Introduction to Information Theory and Data Compression provides the background needed to apply information theory to forming and answering theoretical questions in data compression. However, those curious about data compression, but with no interest in information theory and vice versa can profit equally from the book-as can those with a curiosity about the intriguing connections between the two areas.

Adaptive Data Compression

Author: Ross N. Williams

Publisher: Springer Science & Business Media

ISBN: 9780792390855

Category: Computers

Page: 382

View: 1191

Following an exchange of correspondence, I met Ross in Adelaide in June 1988. I was approached by the University of Adelaide about being an external examiner for this dissertation and willingly agreed. Upon receiving a copy of this work, what struck me most was the scholarship with which Ross approaches and advances this relatively new field of adaptive data compression. This scholarship, coupled with the ability to express himself clearly using figures, tables, and incisive prose, demanded that Ross's dissertation be given a wider audience. And so this thesis was brought to the attention of Kluwer. The modern data compression paradigm furthered by this work is based upon the separation of adaptive context modelling, adaptive statistics, and arithmetic coding. This work offers the most complete bibliography on this subject I am aware of. It provides an excellent and lucid review of the field, and should be equally as beneficial to newcomers as to those of us already in the field.