The Data Compression Book

Author: Mark Nelson,Jean-Loup Gailly

Publisher: Wiley

ISBN: 9781558514348

Category: Computers

Page: 576

View: 5626

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: Morgan Kaufmann

ISBN: 0128097051

Category: Computers

Page: 790

View: 7851

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

ISBN: 3642860923

Category: Computers

Page: 823

View: 2801

viii • The second new chapter, Chapter 6, discusses video compression. The chapter opens with a general description of CRT operation and basic analog and digital video concepts. It continues with a general discussion of video compression, and it concludes with a description of MPEG-1 and H.261. • Audio compression is the topic of the third new chapter, Chapter 7. The first topic in this chapter is the properties of the human audible system and how they can be exploited to achieve lossy audio compression. A discussion of a few simple audio compression methods follows, and the chapter concludes with a description of the three audio layers of MPEG-1, including the very popular mp3 format. Other new material consists of the following: • Conditional image RLE (Section 1.4.2). • Scalar quantization (Section 1.6). • The QM coder used in JPEG, JPEG 2000, and JBIG is now included in Sec tion 2.16. • Context-tree weighting is discussed in Section 2.19. Its extension to lossless image compression is the topic of Section 4.24. • Section 3.4 discusses a sliding buffer method called repetition times. • The troublesome issue of patents is now also included (Section 3.25). • The relatively unknown Gray codes are discussed in Section 4.2.1, in connection with image compression. • Section 4.3 discusses intuitive methods for image compression, such as subs- pling and vector quantization.

Elements of Data Compression

Author: Adam Drozdek

Publisher: Course Technology Ptr


Category: Computers

Page: 221

View: 4787

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.

Die Differenzmaschine


Author: William Gibson,Bruce Sterling

Publisher: Heyne Verlag

ISBN: 3641087562

Category: Fiction

Page: 624

View: 3751

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.

Handbook of Data Compression

Author: David Salomon,Giovanni Motta

Publisher: Springer Science & Business Media

ISBN: 9781848829039

Category: Computers

Page: 1361

View: 9959

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.

Hyperspectral Data Compression

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

Publisher: Springer Science & Business Media

ISBN: 0387286004

Category: Computers

Page: 418

View: 1829

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.

A Concise Introduction to Data Compression

Author: David Salomon

Publisher: Springer Science & Business Media

ISBN: 1848000723

Category: Computers

Page: 314

View: 2971

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.


Grundlagen und Anwendungen

Author: Thom Frühwirth,Slim Abdennadher

Publisher: Springer-Verlag

ISBN: 3642591159

Category: Mathematics

Page: 165

View: 5249

Das Buch gibt einen kompakten, aber umfassenden Überblick über das Problemlösen und Programmieren mit "Constraints" (Randbedingungen). Diese aktuelle Programmiermethodik ermöglicht es, Aufgaben direkt zu formulieren und effizient zu lösen. Sie gewinnt zusehends Bedeutung in Anwendungsbereichen wie Kombinatorische Suchprobleme (z.B. Zeitplanen, Layout-Optimierung), Berechnungen (Finanzanalyse), Simulation (Hardware-Verifikation) oder allgemein Schließen und Rechnen mit ungenauer oder unvollständiger Information (z.B. Kostenschätzung). Die theoretisch fundierte Darstellung mit Aufgaben und Anwendungsbeispielen aus der Praxis ist in der Lehre erprobt, aber auch für Forscher und Praktiker von Nutzen.

Fundamental Data Compression

Author: Ida Mengyi Pu

Publisher: Butterworth-Heinemann

ISBN: 0080530265

Category: Computers

Page: 256

View: 7924

Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers. A huge, active research field, and a part of many people's everyday lives, compression technology is an essential part of today's Computer Science and Electronic Engineering courses. With the help of this book, students can gain a thorough understanding of the underlying theory and algorithms, as well as specific techniques used in a range of scenarios, including the application of compression techniques to text, still images, video and audio. Practical exercises, projects and exam questions reinforce learning, along with suggestions for further reading. * Dedicated data compression textbook for use on undergraduate courses * Provides essential knowledge for today's web/multimedia applications * Accessible, well structured text backed up by extensive exercises and sample exam questions

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: 5826

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

The Transform and Data Compression Handbook

Author: Kamisetty Ramam Rao,Patrick C. Yip

Publisher: CRC Press

ISBN: 1420037382

Category: Computers

Page: 408

View: 8802

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.

Data Compression in Digital Systems

Author: Roy Hoffman

Publisher: Springer Science & Business Media

ISBN: 1461560314

Category: Computers

Page: 415

View: 1101

Data compression is now indispensable to products and services of many industries including computers, communications, healthcare, publishing and entertainment. This invaluable resource introduces this area to information system managers and others who need to understand how it is changing the world of digital systems. For those who know the technology well, it reveals what happens when data compression is used in real-world applications and provides guidance for future technology development.

Lossless Compression Handbook

Author: Khalid Sayood

Publisher: Elsevier

ISBN: 9780080510491

Category: Technology & Engineering

Page: 454

View: 517

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: 3110

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.

Image data compression

block truncation coding

Author: Belur V. Dasarathy

Publisher: IEEE Computer Society


Category: Computers

Page: 284

View: 6384

Presenting a comprehensive tutorial on block truncation coding (BTC), a specialized area within the data compression domain, this text provides a detailed study and relative assessment of its techniques.

Understanding Compression

Data Compression for Modern Developers

Author: Colt McAnlis,Aleks Haecky

Publisher: "O'Reilly Media, Inc."

ISBN: 1491961481

Category: Computers

Page: 242

View: 5457

If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won’t churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand how data compression algorithms work—in theory and practice—so you can choose the best solution among all the available compression tools. With tables, diagrams, games, and as little math as possible, authors Colt McAnlis and Aleks Haecky neatly explain the fundamentals. Learn how compressed files are better, cheaper, and faster to distribute and consume, and how they’ll give you a competitive edge. Learn why compression has become crucial as data production continues to skyrocket Know your data, circumstances, and algorithm options when choosing compression tools Explore variable-length codes, statistical compression, arithmetic numerical coding, dictionary encodings, and context modeling Examine tradeoffs between file size and quality when choosing image compressors Learn ways to compress client- and server-generated data objects Meet the inventors and visionaries who created data compression algorithms