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Proceedings Paper

Digital curvelet transform: strategy, implementation, and experiments
Author(s): David L. Donoho; Mark R. Duncan
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Paper Abstract

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.

Paper Details

Date Published: 5 April 2000
PDF: 19 pages
Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); doi: 10.1117/12.381679
Show Author Affiliations
David L. Donoho, Stanford Univ. (United States)
Mark R. Duncan, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 4056:
Wavelet Applications VII
Harold H. Szu; Martin Vetterli; William J. Campbell; James R. Buss, Editor(s)

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