EDP Sciences
Free access
Issue
A&A
Volume 398, Number 2, February I 2003
Page(s) 785 - 800
Section Physical and chemical processes
DOI http://dx.doi.org/10.1051/0004-6361:20021571


A&A 398, 785-800 (2003)
DOI: 10.1051/0004-6361:20021571

Astronomical image representation by the curvelet transform

J. L. Starck1, D. L. Donoho2 and E. J. Candès3

1  DAPNIA/SEDI-SAP, Service d'Astrophysique, CEA-Saclay, 91191 Gif-sur-Yvette Cedex, France
2  Department of Statistics, Stanford University, Sequoia Hall, Stanford, CA 94305, USA
3  Department of Applied Mathematics, Mail Code 217-50, California Institute of Technology, Pasadena, CA 91125, USA

(Received 12 April 2002 / Accepted 29 October 2002)

Abstract
We outline digital implementations of two newly developed multiscale representation systems, namely, the ridgelet and curvelet transforms. We apply these digital transforms to the problem of restoring an image from noisy data and compare our results with those obtained via well established methods based on the thresholding of wavelet coefficients. We show that the curvelet transform allows us also to well enhance elongated features contained in the data. Finally, we describe the Morphological Component Analysis, which consists in separating features in an image which do not present the same morphological characteristics. A range of examples illustrates the results.


Key words: methods: data analysis -- techniques: image processing

Offprint request: J. L. Starck, jstarck@cea.fr

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