Introduction to data dompression

This important new multimedia book concentrates on the significance of data compression for storing and transmitting large masses of information for all media types. Algorithms, examples, and discussions of official data compression standards for each medium allow practicing engineers and computer scientists to efficiently manipulate these growing masses of information. 1. Introduction -- 2. Mathematical Preliminaries -- 3. Huffman Coding -- 4. Arithmetic Coding -- 5. Dictionary Techniques -- 6. Lossless Image Compression -- 7. Mathematical Preliminaries -- 8. Scalar Quantization -- 9. Vector Quantization -- 10. Differential Encoding -- 11. Subband Coding -- 12. Transform Coding -- 13. Analysis/synthesis Schemes -- 14. Video Compression -- A Probability And Random Processes -- B A Brief Review Of Matrix Concepts -- C Codes For Facsimile Encoding -- D The Root Lattices. Khalid Sayood. Includes Bibliographical References And Index. This book explains the fundamental theories and techniques of data compression, with coverage of both lossy and lossless methods. 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.