Wavelet Image and Video Compression

1. Front Matter

   Pages i-xiii

   PDF

2. Introduction

   1. Introduction

      • Pankaj N. Topiwala

      Pages 1-12

3. Preliminaries

   1. Front Matter

      Pages 13-13

      PDF

   2. Preliminaries

      • Pankaj N. Topiwala

      Pages 15-31

   3. Time-Frequency Analysis, Wavelets And Filter Banks

      • Pankaj N. Topiwala

      Pages 33-59

   4. Introduction To Compression

      • Pankaj N. Topiwala

      Pages 61-81

   5. Symmetric Extension Transforms

      • Christopher M. Brislawn

      Pages 83-91

4. Still Image Coding

   1. Front Matter

      Pages 93-93

      PDF

   2. Wavelet Still Image Coding: A Baseline MSE and HVS Approach

      • Pankaj N. Topiwala

      Pages 95-109

   3. Image Coding Using Multiplier-Free Filter Banks

      • Alen Docef, Faouzi Kossentini, Wilson C. Chung, Mark J. T. Smith

      Pages 111-122

   4. Embedded Image Coding Using Zerotrees of Wavelet Coefficients

      • Jerome M. Shapiro

      Pages 123-155

   5. A New Fast/Efficient Image Codec Based on Set Partitioning in Hierarchical Trees

      • Amir Said, William A. Pearlman

      Pages 157-170

   6. Space-frequency Quantization for Wavelet Image Coding

      • Zixiang Xiong, Kannan Ramchandran, Michael T. Orchard

      Pages 171-197

   7. Subband Coding of Images Using Classification and Trellis Coded Quantization

      • Rajan L. Joshi, Thomas R. Fischer

      Pages 199-219

   8. Low-Complexity Compression of Run Length Coded Image Subbands

      • John D. Villasenor, Jiangtao Wen

      Pages 221-235

5. Special Topics in Still Image Coding

   1. Front Matter

      Pages 237-237

      PDF

   2. Fractal Image Coding as Cross-Scale Wavelet Coefficient Prediction

      • Geoffrey M. Davis

      Pages 239-252

   3. Region of Interest Compression In Subband Coding

      • Pankaj N. Topiwala

      Pages 253-259

   4. Wavelet-Based Embedded Multispectral Image Compression

      • Pankaj N. Topiwala

      Pages 261-270

   5. The FBI Fingerprint Image Compression Specification

      • Christopher M. Brislawn

      Pages 271-288

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.

• 3D
• Performance
• Standard
• Standards
• Wave
• complexity
• filter

`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)

• Sanders, A Lockheed Martin Company, USA

  Pankaj N. Topiwala

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