Introduction to Data Compression by Khalid Sayood – 3rd and 4th Eds.

Book Description
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.

Table of Contents
Introduction
Mathematical Preliminaries for Lossless Compression
Huffman Coding
Arithmetic Coding
Dictionary Techniques
Context-Based Compression
Lossless Image Compression
Mathematical Preliminaries for Lossy Coding
Scalar Quantization
Vector Quantization
Differential Encoding
Mathematical Preliminaries for Transforms, Subbands, and Wavelets
Transform Coding
Subband Coding
Wavelets
Wavelet-Based Image Compression
Audio Coding
Analysis/Synthesis and Analysis by Synthesis Schemes
Video Compression

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Download here (3rd Ed.)
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