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Wavelet Image and Video Compression

  • Pankaj N. Topiwala

Part of the The International Series in Engineering and Computer Science book series (SECS, volume 450)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Introduction

    1. Pankaj N. Topiwala
      Pages 1-12
  3. Preliminaries

    1. Front Matter
      Pages 13-13
    2. Pankaj N. Topiwala
      Pages 15-31
    3. Pankaj N. Topiwala
      Pages 61-81
    4. Christopher M. Brislawn
      Pages 83-91
  4. Still Image Coding

    1. Front Matter
      Pages 93-93
    2. Alen Docef, Faouzi Kossentini, Wilson C. Chung, Mark J. T. Smith
      Pages 111-122
    3. Zixiang Xiong, Kannan Ramchandran, Michael T. Orchard
      Pages 171-197
    4. John D. Villasenor, Jiangtao Wen
      Pages 221-235
  5. Special Topics in Still Image Coding

    1. Front Matter
      Pages 237-237
    2. Pankaj N. Topiwala
      Pages 253-259
    3. Christopher M. Brislawn
      Pages 271-288
    4. Jun Tian, Raymond O. Wells Jr.
      Pages 289-301
    5. Trac D. Tran, Truong Q. Nguyen
      Pages 303-315
  6. Video Coding

    1. Front Matter
      Pages 317-317
    2. Pankaj N. Topiwala
      Pages 319-322
    3. K. Metin Uz, Martin Vetterli, Didier J. LeGall
      Pages 323-347
    4. Wilson C. Chung, Faouzi Kossentini, Mark J. T. Smith
      Pages 349-359
    5. Ralph Neff, Avideh Zakhor
      Pages 361-382
    6. Soo-Chul Han, John W. Woods
      Pages 383-396
    7. William A. Pearlman, Beong-Jo Kim, Zixiang Xiong
      Pages 397-432
  7. Back Matter
    Pages 433-438

About this book

Introduction

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.

Keywords

3D Performance Standard Standards Wave complexity filter

Editors and affiliations

  • Pankaj N. Topiwala
    • 1
  1. 1.Sanders, A Lockheed Martin CompanyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b117069
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-8182-2
  • Online ISBN 978-0-306-47043-1
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site