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-Title: Astronomical Image and Data Analysis.
-Authors:
Jean-Luc Starck; Fionn Murtagh.
-Publisher:
Springer Verlag.
-Pages:
12 + 290
-Illustrations:
B/W and colour photos and graphics.
-Language:
English.
-Publication Date:
2002.
-ISBN: 3540428852

Front Cover

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EDITORIAL INFORMATION

Using information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis through a modern arsenal of powerful techniques. It treats those innovative methods of image, signal, and data processing that are proving to be both effective and widely relevant. The authors are leaders in this rapidly developing field, and their many decades of experience include leading roles in current international projects such as the Virtual Observatory and the Grid. The book addresses not only students and professional astronomers and astrophysicists, but also serious amateur astronomers and specialists in earth observation, medical imaging, and data mining. The coverage includes chapters or appendices on filtering, deconvolution, detection, image compression, multichannel data, catalog data analysis methods, wavelet transforms and software tools.

(Extracted from the back cover).

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GENERAL TABLE OF CONTENTS

 
-Preface.
-Contents.
-1. Introduction to Applications and Methods.
-2. Filtering.
-3. Deconvolution.
-4. Detection.
-5. Image Compression.
-6. Multichannel Data.
-7. An Entropic Tour of Astronomical Data Analysis.
-8. Astronomical Catalog Analysis.
-9. Multiple Resolution in Data Storage and Retrieval.
-10. Towards the Virtual Observatory.
-Appendix A: à Trous Wavelet Transform.
-Appendix B: Picard Iteration.
-Appendix C: Wavelet Transform Using the Fourier Transform.
-Appendix D: Derivative Needed for the Minimization.
-Appendix E: Generalization of the Derivative Needed for the Minimization.
-Appendix F: Software and Related Developments
-Bibliography.
-Index.

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