Data compression: The complete reference (4^th Ed.)

Data compression is one of the most important tools in modern computing, and there has been tremendous progress in all areas of the field. This fourth edition of Data Compression provides an all-inclusive, thoroughly updated, and user-friendly reference for the many different types and methods of compression (especially audio compression, an area in which many new topics covered in this revised edition appear). Among the important features of the book are a detailed and helpful taxonomy, a detailed description of the most common methods, and discussions on 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. Topics and features: highly inclusive, yet well-balanced coverage for specialists and nonspecialists, thorough coverage of wavelets methods, including SPIHT, EZW, DjVu, WSQ, and JPEG 2000, comprehensive updates on all material from previous editions. New topics: RAR, a proprietary algorithm. FLAC, a free, lossless audio compression method. WavPack, an open, multiplatform audio-compression algorithm. LZMA, a sophisticated dictionary-based compression method. Differential compression. ALS, the audio lossless coding algorithm used in MPEG-4. H.264, an advanced video codec, part of the huge MPEG-4 project. AC-3, Dolby's third-generation audio codec. Hyperspectral compression of 3D data sets. This meticulously enhanced reference is an essential resource and 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.

Prefaces.- Introduction - Basic Techniques.- Statistical Methods.- Dictionary Methods.- Image Compression.- Wavelet Methods.- Video Compression.- Audio Compression.- Other Methods.- Answers to Exercises.- Bibliography.- Glossary.- Joining the Data Compression Community.- Index.