Results 1 to 10 of about 258 (126)
Curvelets and Fourier Integral Operators
Comptes Rendus Mathematique, 2003 A recent body of work introduced new tight-frames of curvelets E. Candès, D. Donoho, in: (i) Curvelets – a suprisingly effective nonadaptive representation for objects with edges (A. Cohen, C. Rabut, L. Schumaker (Eds.)), Vanderbilt University Press, Nashville, 2000, pp. 105–120; (ii)
Emmanuel Candes, Laurent Demanet
exaly +2 more sources
Wavelets, ridgelets and curvelets on the sphere [PDF]
Astronomy and Astrophysics, 2006 Accepted for publication in A&A.
Jean-Luc Starck, Y Moudden
exaly +4 more sources
Some of the next articles are maybe not open access.
Guided waves filtering with warped curvelets
Proceedings of SPIE, 2011Lamb wave testing for SHM is complicated by multimodal propagation and by reflections. In this paper, the effectiveness of the decomposition inWarped Curvelet Frames for the analysis of guided ultrasonic waves is studied. The transformation acts by expanding the analyzed signal into a tight frame of basis functions named Curvelets.
Luca De Marchi +2 more
exaly +3 more sources
Seismic denoising with nonuniformly sampled curvelets
Computing in Science and Engineering, 2006The authors present an extension of the fast discrete curvelet transform (FDCT) to nonuniformly sampled data. This extension not only restores curvelet compression rates for nonuniformly sampled data but also removes noise and maps the data to a regular ...
F J Herrmann
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Curvelets and wave atoms for mirror-extended images
Proceedings of SPIE, 2007Laurent Demanet, Lexing Ying
exaly
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal
IEEE Transactions on Image Processing, 2008Jean-Luc Starck, Jalāl M Fadili
exaly
Unsupervised texture segmentation using monogenic curvelets and the Potts model
2014Martin Storath +2 more
exaly
Curvelets based feature extraction of handwritten shapes for ancient manuscripts classification
2007Véronique Eglin +2 more
exaly
Wavelets and curvelets in denoising and pattern detection tasks crucial for homeland security
2004Scott E Bisson, Jean-Luc Starck
exaly