Wavelet Image and Video Compression  - Topiwala, Pankaj N.

Wavelet Image and Video Compression

Pankaj N. Topiwala

Yayınevi: Kluwer

Yayın tarihi: 01/1998

ISBN: 9780792381822

Ciltli | İngilizce | 456 Sayfa |

Tür: Fizik-Astronomi

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Desription

The technology of wavelet image compression 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 technology that is presented in this text in an accessible form. This text is divided into four parts. Part 1, 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 schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data.

Table of Contents

1 Introduction by Pankaj N. Topiwala 1
2 Preliminaries by Pankaj N. Topiwala 15
3 Time-Frequency Analysis, Wavelets And Filter Banks by Pankaj N. Topiwala 33
4 Introduction To Compression by Pankaj N. Topiwala 61
5 Symmetric Extension Transforms by Christopher M. Brislawn 83
6 Wavelet Still Image Coding: A Baseline MSE and HVS Approach by Pankaj N. Topiwala 95
7 Image Coding Using Multiplier-Free Filter Banks by Alen Docef and Faouzi Kossentini and Wilson C. Chung 111
8 Embedded Image Coding Using Zerotrees of Wavelet Coefficients by Jerome M. Shapiro 123
9 A New Fast/Efficient Image Codec Based on Set Partitioning in Hierarchical Trees by Amir Said and William A. Pearlman 157
10 Space-frequency Quantization for Wavelet Image Coding by Zixiang Xiong and Kannan Ramchandran and Michael T. Orchard 171
11 Subband Coding of Images Using Classification and Trellis Coded Quantization by Rajan Joshi and Thomas R. Fischer 199
12 Low-Complexity Compression of Run Length Coded Image Subbands by John D. Villasenor and Jiangtao Wen 221
13 Fractal Image Coding as Cross-Scale Wavelet Coefficient Prediction by Geoffrey Davis 239
14 Region of Interest Compression In Subband Coding by Pankaj N. Topiwala 253 15 Wavelet-Based Embedded Multispectral Image Compression by Pankaj N. Topiwala 261
16 The FBI Fingerprint Image Compression Specification by Christopher M. Brislawn 271
17 Embedded Image Coding Using Wavelet Difference Reduction by Jun Tian and Raymond O. Wells, Jr. 289
18 Block Transforms in Progressive Image Coding by Trac D. Tran and Truong Q. Nguyen 303
19 Brief on Video Coding Standards by Pankaj N. Topiwala 319
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