| Περίληψη: | 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. Data Compression 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. The presentation is organized into the main branches of the field of data compression: 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 compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists. Topics and features: coverage of video compression, including MPEG-1 and H.261; thorough coverage of wavelets methods, including CWT, DWT, EZW and the new Lifting Scheme technique; complete audio compression; QM coder used in JPEG and JBIG, including new JPEG 200 standard; image transformations and detailed coverage of discrete cosine transform and Haar transform; coverage of EIDAC method for compressing simple images; prefix image compression; ACB and FHM curve compression; geometric compression and edgebreaker technique. Data Compression 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.
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