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The Curvelet Transform

delete2010-03-01
delete334
PRE
AI
马
马坚伟 (Jianwei Ma)
G
Gerlind Plonka
DOI：10.1109/MSP.2009.935453delete
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Abstract

Abstract

En
Keywords:
SPARSE REPRESENTATIONS
MULTISCALE APPROACH
WAVELETS
RECOVERY
DOMAIN
EQUATIONS
RIDGELETS
IMAGES

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

T
tsinghua university
Scholars:
11.9W
Papers: 10.0W
Citations: 137
U
University of Duisburg Essen
Scholars:
2.2W
Papers: 1.7W
Citations: 22
Cited Papers

Cited Papers

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Combined curvelet shrinkage and nonlinear anisotropic diffusion
errIEEE TRANSACTIONS ON IMAGE PROCESSING
IF13.7
err2007-09-01
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Curvelet-based snake for multiscale detection and tracking of geophysical fluids
errIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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errMa, Jianwei; Antoniadis, Anestis; Le Dimet, Francois-Xavier
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The curvelet representation of wave propagators is optimally sparse
errCOMMUNICATIONS ON PURE AND APPLIED MATHEMATICS
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err2005-03-04
err208
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errCandès, EJ; Demanet, L
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Integrated volume visualization of functional image data and anatomical surfaces using normal fusion
errHuman Brain Mapping
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err2001-01-01
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errRik Stokking; Karel J. Zuiderveld; Max A. Viergever
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Platelets: A multiscale approach for recovering edges and surfaces in photon-limited medical imaging
errIEEE TRANSACTIONS ON MEDICAL IMAGING
IF9.8
err2003-03-01
err156
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errWillett, RM; Nowak, RD
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Leading-order seismic imaging using curvelets
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IF3.2
err2007-11-01
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errDouma, Huub; de Hoop, Maarten V.
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New multiscale transforms, minimum total variation synthesis:: applications to edge-preserving image reconstruction
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errCandès, EJ; Guo, F
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