Volume 398, Number 2, February I 2003
|Page(s)||785 - 800|
|Published online||21 January 2003|
Astronomical image representation by the curvelet transform
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
Corresponding author: J. L. Starck, email@example.com
Accepted: 29 October 2002
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
© ESO, 2003
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.