Astronomy and Astrophysics – Astrophysics
Scientific paper
Feb 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003a%26a...398..785s&link_type=abstract
Astronomy and Astrophysics, v.398, p.785-800 (2003)
Astronomy and Astrophysics
Astrophysics
31
Methods: Data Analysis, Techniques: Image Processing
Scientific paper
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.
Candes Emmanuel J.
Donoho David L.
Starck Jean-Luc
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