Astronomical image decomposition using wavelets, ridgelets, and curvelets: the combined transforms method

Details Astronomical image decomposition using wavelets, ridgelets, and curvelets: the combined transforms method Astronomical image decomposition using wavelets, ridgelets, and curvelets: the combined transforms method

Nov 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4477..131s&link_type=abstract

Proc. SPIE Vol. 4477, p. 131-141, Astronomical Data Analysis, Jean-Luc Starck; Fionn D. Murtagh; Eds.

Astronomy and Astrophysics

Astronomy

Scientific paper

Many multiscale methods have been developed during the last fifteen years, such the bi-orthogonal wavelet transform, the à trous algorithm, the ridgelet transform or the curvelet transform. Each of them is optimal to detect one kind of features. We present the Combined Transforms Method which allows us to combine several transformations in order to benefit of the advantages of each of them.

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