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Introduction to Data Compression

Introduction to Data Compression Author Khalid Sayood
ISBN-10 9780128097052
Release 2017-10-31
Pages 790
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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



Introduction to Data Compression

Introduction to Data Compression Author Khalid Sayood
ISBN-10 9780124160002
Release 2012-10-04
Pages 768
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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. It 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, 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 2000 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. 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



Introduction to Data Compression

Introduction to Data Compression Author Khalid Sayood
ISBN-10 9780124157965
Release 2012
Pages 740
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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



Introduction to Information Theory and Data Compression Second Edition

Introduction to Information Theory and Data Compression  Second Edition Author Peter D. Johnson, Jr.
ISBN-10 1420035274
Release 2003-02-26
Pages 384
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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



Handbook of Data Compression

Handbook of Data Compression Author David Salomon
ISBN-10 1848829035
Release 2010-01-18
Pages 1361
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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 Data Compression Book

The Data Compression Book Author Mark Nelson
ISBN-10 1558514341
Release 1995-12-14
Pages 576
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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



Data Compression

Data Compression Author David Salomon
ISBN-10 9783642860928
Release 2012-12-06
Pages 823
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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.



Fundamental Data Compression

Fundamental Data Compression Author Ida Mengyi Pu
ISBN-10 9780080530260
Release 2005-11-03
Pages 256
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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



Digital Compression for Multimedia

Digital Compression for Multimedia Author Jerry D. Gibson
ISBN-10 1558603697
Release 1998
Pages 476
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"Digital Compression for Multimedia" captures in a single reference the current standards for speech, audio, video, image, fax and file compression. It is intended for engineers and computer scientists designing and implementing compression techniques, system integrators, technical managers, and researchers. The essential ideas and motivation behind the various compression methods are presented and insight is provided into the evolution of the standards.



Lossless Compression Handbook

Lossless Compression Handbook Author Khalid Sayood
ISBN-10 0080510493
Release 2002-12-18
Pages 454
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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



A Guide to Data Compression Methods

A Guide to Data Compression Methods Author David Salomon
ISBN-10 0387952608
Release 2002-02-08
Pages 295
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CD-ROM contains: Computer code from text -- Public-domain compression utility programs.



Understanding Compression

Understanding Compression Author Colt McAnlis
ISBN-10 9781491961506
Release 2016-07-13
Pages 242
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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



JPEG2000 Standard for Image Compression

JPEG2000 Standard for Image Compression Author Tinku Acharya
ISBN-10 9780471653752
Release 2005-01-21
Pages 296
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JPEG2000 Standard for Image Compression presents readers with the basic background to this multimedia compression technique and prepares the reader for a detailed understanding of the JPEG2000 standard, using both the underlying theory and the principles behind the algorithms of the JPEG2000 standard for scalable image compression. It introduces the VLSI architectures and algorithms for implementation of the JPEG2000 standard in hardware (not available in the current literature), an important technology for a number of image processing applications and devices such as digital camera, color fax, printer, and scanners.



An Introduction to Digital Video Data Compression in Java

An Introduction to Digital Video Data Compression in Java Author Fore June
ISBN-10 1456570870
Release 2011-01-22
Pages 310
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Not long after the birth of the Web, multimedia has become an inseparable part of it. As the growth of the Web accelerates, the demand of multimedia applications and the knowledge of this field explodes. Data compression is the soul of the engine that drives the rapid development of these applications. Audio and image data can be effectively transmitted across the Web or saved in a digital storage medium (DSM) only after they have been compressed. The success of the java-based Android mobile OS has revived people's interest in java. This book presents to you the art of compressing digital video using the java programming language. you the art of compressing digital video using the java programming language. It covers traditional video compression topics including information fundamentals, RGB-YCbCr conversion, integer arithmetic, DCT, IDCT, quantization, run-level encoding, reorder, Huffman encoding, motion estimation and motion compensation. It also discusses the usage of graphics techniques to compress videos.



Digital Holographic Data Representation and Compression

Digital Holographic Data Representation and Compression Author Yafei Xing
ISBN-10 9780128028902
Release 2015-10-19
Pages 92
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With the increasing interest in holography for 3D imaging applications, there is a need to develop and use hologram compression techniques for the efficient storage and transmission of holographic data. This book gives a broad overview of the state-of-the-art techniques for the efficient compression and representation of digital holographic data, addressing both still and moving data sequences. An Introduction to the principles of digital holography A critical analysis of the techniques that have been developed Coverage of the most recent research results A summary of future research challenges



JPEG

JPEG Author William B. Pennebaker
ISBN-10 0442012721
Release 1992-12-31
Pages 638
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JPEG has been writing in one form or another for most of life. You can find so many inspiration from JPEG also informative, and entertaining. Click DOWNLOAD or Read Online button to get full JPEG book for free.



Vector Quantization and Signal Compression

Vector Quantization and Signal Compression Author Allen Gersho
ISBN-10 9781461536260
Release 2012-12-06
Pages 732
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Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.