Digital curvelet transform: strategy, implementation, and experiments

By David L. Donoho, Mark R. Duncan. SPIE Defense + Commercial Sensing, 2000

462 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/eff3afd242a3574f3f0470201cee070ebb871cae

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In Computational Mechanics

In Computer Vision and Pattern Recognition

Citations in the corpus

Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach (2010, methodology): “The first generation of the discrete curvelet transform (Donoho and Duncan, 1999; Starck et al., 2002) is 2-”
Fast Discrete Curvelet Transforms (2006, background): “Section 3 introduces the main ideas underlying the USFFT-based and the wrapping-based digital implementations which are then detailed in sections 4 and 6, respectively.”
The curvelet transform for image denoising (2001, methodology): “In addition to work mentioned in the body of the article, we would like to point out the work of Do and Vetterli [13], Donoho and Duncan [18].”
Deconvolution in Astronomy: A Review (2002, methodology): “Other multiscale methods, such as the ridgelet or the curvelet transform (Cande`s & Donoho 1999, 2000; Donoho & Duncan 2000; Starck, Cande`s, & Donoho 2001a) will certainly play a role in the future.”
Directional multiresolution image representations (2002, methodology): “In fact, in [64], one of the fundamental research challenges for curvelets stated as: “is there a spatial domain scheme for refinement which, at each generation doubles the spatial resolution as well as the angular resolution?”.”
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal (2008, background): “The curvelet transform [49], [50] opens the possibility to analyze an image with different block sizes, but with a single transform.”
Contourlets: a directional multiresolution image representation (2002, methodology): “In [2, 3], different interpolation approaches were proposed to solve the polar versus rectangular coordinate transform problem, all requiring overcomplete systems.”