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Wavelet Image and Video Compression : Kluwer International Series in Engineering and Computer Science - Pankaj N. Topiwala

Wavelet Image and Video Compression

Kluwer International Series in Engineering and Computer Science

By: Pankaj N. Topiwala (Editor)

Hardcover

Published: 30th June 1998
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An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others. It is this revolutionary new technology that is presented in Wavelet Image and Video Compression, in a form that is accessible to the largest audience possible.
Wavelet Image and Video Compression is divided into four parts. Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book. It explains such topics as change of bases, scalar and vector quantization, bit allocation and rate-distortion theory, entropy coding, the discrete-cosine transform, wavelet filters and other related topics. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques. Part III, Special Topics in Still Image Coding, provides a variety of example coding schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data.
Wavelet Image and Video Compression serves as an excellent reference and may be used as a text for advanced courses covering the subject.

`This is a very well-organized and useful reference book for those who are new to wavelet image and video coding.' Journal of Electronic Imaging, 9:2 (2000)

Introduction
Preliminaries
Preliminaries
Time-Frequency Analysis, Wavelets and Filter Banks
Introduction to Compression
Symmetric Extension Transforms
Still Image Coding
Wavelet Still Image Coding: A Baseline MSE and HVS Approach
Image Coding Using Multiplier-Free Filter Banks
Embedded Image Coding Using Zerotrees of Wavelet Coefficients
A New Fast/Efficient Image Codec Based on Set Partitioning in Hierarchical Trees
Space-Frequency Quantization for Wavelet Image Coding
Suband Coding of Images Using Classification and Trellis Coded Quantization
Low-Complexity Compression of Run Length Coded Image Subbands
Special Topics in Still Image Coding
Fractal Image Coding as Cross-Scale Wavelet Coefficient Prediction
Region of Interest Compression in Subband Coding
Wavelet-Based Embedded Multispectral Image Compression
The FBI Fingerprint Image Compression Specification
Embedded Image Coding Using Wavelet Difference Reduction
Block Transforms in Progressive Image Coding
Video Coding
Brief on Video Coding Standards
Interpolative Multiresolution Coding of Advanced TV with Subchannels
Subband Video Coding for Low to High Rate Applications
Very Low Bit Rate Video Coding Based on Matching Pursuits;R. Neff
Object-Based Subband/Wavelet Video Compression
Embedded Video Subband Coding with 3D SPIHT
Wavelet Image and Video Compression endash
The Authors
Index
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780792381822
ISBN-10: 0792381823
Series: Kluwer International Series in Engineering and Computer Science
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 438
Published: 30th June 1998
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 25.4 x 17.15  x 3.18
Weight (kg): 0.89