Astronomical image and data analysis /

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Bibliographic Details
Author / Creator:	Starck, J.-L (Jean-Luc), 1965-
Edition:	2nd ed.
Imprint:	Berlin : Springer, 2006.
Description:	1 online resource (xiv, 335 p.) : ill. (some col.)
Language:	English
Series:	Astronomy and astrophysics library, 0941-7834 Astronomy and astrophysics library.
Subject:	Imaging systems in astronomy -- Data processing. Imaging systems in astronomy -- Data processing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8879860

Hidden Bibliographic Details
Other authors / contributors:	Murtagh, Fionn.
ISBN:	9783540330257 3540330259 3540330240 9783540330240 6611350942 9786611350949
Notes:	Includes bibliographical references (p. [311]-329) and index. Description based on print version record.
Summary:	"With information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis using 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 draw upon decades of experience. They have been playing leading roles in 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."--Jacket.
Other form:	Print version: Starck, J.-L (Jean-Luc), 1965- Astronomical image and data analysis. 2nd ed. Berlin : Springer, 2006 3540330240 9783540330240

Table of Contents:

Preliminaries; Preface to the Second Edition; Preface to the First Edition; Table of 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.A Trous Wavelet Transform; B. Picard Iteration; C. Wavelet Transform Using the Fourier Transform; D. Derivative Needed for the Minimization.

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