© 2001

Wavelets in Signal and Image Analysis

From Theory to Practice

  • Arthur A. Petrosian
  • François G. Meyer

Part of the Computational Imaging and Vision book series (CIVI, volume 19)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Wavelet Design

    1. Front Matter
      Pages 1-1
    2. Miloš Doroslovački
      Pages 3-38
    3. Ivan W. Selesnick
      Pages 39-66
  3. Multiscale Analysis, Estimation and Filtering

    1. Front Matter
      Pages 67-67
    2. Sridhar Ungarala, Bhavik R. Bakshi
      Pages 69-110
    3. Roland Wilson
      Pages 141-168
    4. Yufang Bao, Hamid Krim
      Pages 169-192
    5. Stavri Nikolov, Paul Hill, David Bull, Nishan Canagarajah
      Pages 213-241
  4. Signal and Image Compression

    1. Front Matter
      Pages 243-243
    2. Francois G. Meyer, Amir Z. Averbuch, Ronald R. Coifman
      Pages 281-304
    3. Amir Z. Averbuch, Valery A. Zheludev
      Pages 341-376
  5. Applications in Biomedicine and other Fields

    1. Front Matter
      Pages 377-377
    2. Robi Polikar, Fritz Keinert, Mary Helen Greer
      Pages 453-478

About this book


Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis. Because of their powerful underlying mathematical theory, they offer exciting opportunities for the design of new multi-resolution processing algorithms and effective pattern recognition systems.
This book provides a much-needed overview of current trends in the practical application of wavelet theory. It combines cutting edge research in the rapidly developing wavelet theory with ideas from practical signal and image analysis fields. Subjects dealt with include balanced discussions on wavelet theory and its specific application in diverse fields, ranging from data compression to seismic equipment. In addition, the book offers insights into recent advances in emerging topics such as double density DWT, multiscale Bayesian estimation, symmetry and locality in image representation, and image fusion.
Audience: This volume will be of interest to graduate students and researchers whose work involves acoustics, speech, signal and image processing, approximations and expansions, Fourier analysis, and medical imaging.


Textur Wave classification data compression diagnosis image analysis image processing ultrasound

Editors and affiliations

  • Arthur A. Petrosian
    • 1
  • François G. Meyer
    • 2
  1. 1.Texas Tech UniversityLubbockUSA
  2. 2.University of ColoradoBoulderUSA

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