Image Processing and Data Analysis
The Multiscale Approach

For graduate students and researchers already experienced in image processing and data analysis, a guide to a wide range of powerful and innovative data-analysis techniques.

Jean-Luc Starck (Author), Fionn D. Murtagh (Author), Albert Bijaoui (Author)

9780521599146, Cambridge University Press

Paperback, published 21 May 1998

300 pages, 123 b/w illus. 22 tables
24.7 x 17.4 x 1.7 cm, 0.62 kg

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

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, avante-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.

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.

Subject Areas: Physics [PH]