Digital curvelet transform: strategy, implementation, and experiments

Details Digital curvelet transform: strategy, implementation, and experiments Digital curvelet transform: strategy, implementation, and experiments

Apr 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4056...12d&link_type=abstract

Proc. SPIE Vol. 4056, p. 12-30, Wavelet Applications VII, Harold H. Szu; Martin Vetterli; William J. Campbell; James R. Buss; Ed

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Scientific paper

Recently, Candes and Donoho introduced the curvelet transform, a new multiscale representation suited for objects which are smooth away from discontinuities across curves. Their proposal was intended for functions f defined on the continuum plane R2. In this paper, we consider the problem of realizing this transform for digital data. We describe a strategy for computing a digital curvelet transform, we describe a software environment, Curvelet 256, implementing this strategy in the case of 256 X 256 images, and we describe some experiments we have conducted using it. Examples are available for viewing by web browser.

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