The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book explains the fundamental theories and techniques of data compression, with the most complete coverage available of both lossy and lossless methods. Rather than simply describing current approaches, Sayood explains the theoretical underpinnings of the algorithms so that readers learn how to model structures in data and design compression packages of their own. Practitioners, researchers, and students will benefit from the balanced presentation of theoretical material and implementations.
Mathematical Preliminaries for Lossless Compression
Lossless Image Compression
Mathematical Preliminaries for Lossy Coding
Mathematical Preliminaries for Transforms, Subbands, and Wavelets
Wavelet-Based Image Compression
Analysis/Synthesis and Analysis by Synthesis Schemes
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