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Image Processing and Data Analysis

Image Processing and Data Analysis
The Multiscale Approach

$57.00 (C)

  • Date Published: July 1998
  • availability: Available
  • format: Paperback
  • isbn: 9780521599146

$ 57.00 (C)
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About the Authors
  • Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avant-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.

    • Provides a rigorous mathematical background, and then develops the reader's understanding through practical examples
    • Illustrated throughout with real-world examples from astronomy, electrical engineering, physics, remote sensing and medical imaging
    • Shows how many traditional techniques can be improved by incorporating the new wavelet and multiscale methods
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    Reviews & endorsements

    'Undoubtedly, this book will be a welcome reference for anyone interested in using various image-processing methods.' Andre Csillaghy, Scientific Computing World

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    Product details

    • Date Published: July 1998
    • format: Paperback
    • isbn: 9780521599146
    • length: 300 pages
    • dimensions: 247 x 174 x 17 mm
    • weight: 0.62kg
    • contains: 123 b/w illus. 22 tables
    • availability: Available
  • Table of Contents

    Foreword
    1. The wavelet transform
    2. Multiresolution support and filtering
    3. Deconvolution
    4. 1-D signals and Euclidean-based data analysis
    5. Geometric registration
    6. Disparity analysis and applications in remote sensing
    7. Image compression
    8. Object detection and point pattern clustering
    9. Multiscale vision models
    Appendix I. Variance stabilisation
    Appendix II. Software information
    Acronyms
    References
    Index.

  • Authors

    Jean-Luc Starck, Centre Commissariat à l'Energie Atomique (CEA), Saclay

    Fionn D. Murtagh, University of Ulster

    Albert Bijaoui

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