Image Processing and Data Analysis: The Multiscale Approach

Image Processing and Data Analysis: The Multiscale Approach

by Jean-Luc Starck, Fionn D. Murtagh, Albert Bijaoui
     
 

ISBN-10: 0521599148

ISBN-13: 9780521599146

Pub. Date: 12/28/2004

Publisher: Cambridge University Press

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…  See more details below

Overview

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.

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Product Details

ISBN-13:
9780521599146
Publisher:
Cambridge University Press
Publication date:
12/28/2004
Pages:
300
Product dimensions:
6.85(w) x 9.72(h) x 0.63(d)

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.

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