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"Salomon’s book is the most complete and up-to-date reference on the subject. The style, rigorous yet easy to read, makes this book the preferred choice …[and] the encyclopedic nature of the text makes it an obligatory acquisition by our library." – Dr Martin Cohn, Brandeis University
Data compression is such an important tool in modern computing that some researchers even suggest that all computing is compression! This comprehensive fifth edition of David Salomon’s highly successful reference, Data Compression, now fully reconceived under its new title, Handbook of Data Compression, is thoroughly updated with the latest progress in the field. This all-inclusive and user-friendly reference work discusses the wide range of compression methods for text, graphical data (still images and movies), and audio.
Among the important features of this accessible reference are a detailed index and helpful glossary, an extensive bibliography, an appendix presenting and explaining the basic concepts and terms in information theory, liberal use of illustrations and data tables, and broad coverage discussing the use and comparative benefits of different methods. The book’s logical, clear and lively presentation is organized around the main branches of data compression, for ease in usage.
This meticulously enhanced, reliable handbook is an essential companion for all computer scientists; computer, electrical and signal/image processing engineers; and scientists needing a comprehensive compilation of compression methods. It requires only a minimum of mathematics and is well-suited to nonspecialists and general readers who need to know and use this valuable content.
David Salomon is a professor emeritus of computer science at California State University, Northridge. He has authored numerous articles and Springer books, including A Concise Introduction to Data Compression, Variable-length Codes for Data Compression, Transformations and Projections in Computer Graphics, Foundations of Computer Security, Curves and Surfaces for Computer Graphics, Coding for Data and Computer Communications, Data Privacy and Security, Guide to Data Compression Methods, and Computer Graphics and Geometric Modeling.