Comptes Rendus
Mathematical Analysis
Curvelets and Fourier Integral Operators
[Curvelets et Opérateurs Intégraux de Fourier]
Comptes Rendus. Mathématique, Volume 336 (2003) no. 5, pp. 395-398.

Une série de récents articles ont introduit l'analyse en curvelets E. Candès, D. Donoho, in : (i) Curvelets – a surprisingly effective nonadaptive representation for objects with edges (A. Cohen, C. Rabut, L. Schumaker (Eds.)), Vanderbilt University Press, Nashville, 2000, pp. 105–120 ; (ii) http://www.acm.caltech.edu/~emmanuel/publications.html, 2002 : les curvelets offrent une représentation multi-échelle qui ouvre de nouvelles perspectives pour l'analyse de problèmes importants en théorie de l'approximation et en traitement de l'image. Cet article montre que les curvelets permettent une représentation optimale de la classe des opérateurs intégraux de Fourier. Par « optimale », nous entendons par exemple, la plus économe.

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) http://www.acm.caltech.edu/~emmanuel/publications.html, 2002 to address key problems in approximation theory and image processing. This paper shows that curvelets essentially provide optimally sparse representations of Fourier Integral Operators.

Reçu le :
Accepté le :
Publié le :
DOI : 10.1016/S1631-073X(03)00095-5
Emmanuel Candès 1 ; Laurent Demanet 1

1 Applied and Computational Mathematics, California Institute of Technology, Mail Code 217-50, Pasadena, CA 91125, USA
@article{CRMATH_2003__336_5_395_0,
     author = {Emmanuel Cand\`es and Laurent Demanet},
     title = {Curvelets and {Fourier} {Integral} {Operators}},
     journal = {Comptes Rendus. Math\'ematique},
     pages = {395--398},
     publisher = {Elsevier},
     volume = {336},
     number = {5},
     year = {2003},
     doi = {10.1016/S1631-073X(03)00095-5},
     language = {en},
}
TY  - JOUR
AU  - Emmanuel Candès
AU  - Laurent Demanet
TI  - Curvelets and Fourier Integral Operators
JO  - Comptes Rendus. Mathématique
PY  - 2003
SP  - 395
EP  - 398
VL  - 336
IS  - 5
PB  - Elsevier
DO  - 10.1016/S1631-073X(03)00095-5
LA  - en
ID  - CRMATH_2003__336_5_395_0
ER  - 
%0 Journal Article
%A Emmanuel Candès
%A Laurent Demanet
%T Curvelets and Fourier Integral Operators
%J Comptes Rendus. Mathématique
%D 2003
%P 395-398
%V 336
%N 5
%I Elsevier
%R 10.1016/S1631-073X(03)00095-5
%G en
%F CRMATH_2003__336_5_395_0
Emmanuel Candès; Laurent Demanet. Curvelets and Fourier Integral Operators. Comptes Rendus. Mathématique, Volume 336 (2003) no. 5, pp. 395-398. doi : 10.1016/S1631-073X(03)00095-5. https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.1016/S1631-073X(03)00095-5/

[1] G. Beylkin; R. Coifman; V. Rokhlin Fast wavelet transforms and numerical algorithms, Comm. Pure Appl. Math., Volume 44 (1991), pp. 141-183

[2] E. Candès, L. Demanet, Curvelets, warpings and optimally sparse representations of Fourier Integral Operators, Manuscript, 2002

[3] E. Candès; D. Donoho Curvelets – a suprisingly effective nonadaptive representation for objects with edges (A. Cohen; C. Rabut; L. Schumaker, eds.), Curves and Surface Fitting: Saint-Malo 1999, Vanderbilt University Press, Nashville, 2000, pp. 105-120

[4] E. Candès, D. Donoho, New tight Frames of curvelets and optimal representations of objects with C2 singularities, submitted, http://www.acm.caltech.edu/~emmanuel/publications.html, 2002

[5] E. Candès; F. Guo New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction, Signal Processing, Volume 82 (2002), pp. 1519-1543

[6] C. Fefferman A note on spherical summation multipliers, Israel J. Math., Volume 15 (1973), pp. 44-52

[7] H. Smith A Hardy space for Fourier integral operators, J. Geom. Anal., Volume 7 (1997)

[8] H. Smith A parametrix construction for wave equations with C1,1 coefficients, Ann. Inst. Fourier (Grenoble), Volume 48 (1998) no. 3, pp. 797-835

Cité par Sources :

Commentaires - Politique


Ces articles pourraient vous intéresser

Towards improving ambient noise tomography using simultaneously curvelet denoising filters and SEM simulations of seismic ambient noise

Laurent Stehly; Paul Cupillard; Barbara Romanowicz

C. R. Géos (2011)


Smoothness characterization and stability for nonlinear multiscale representations

Basarab Matei

C. R. Math (2004)


Denoising using nonlinear multiscale representations

Basarab Matei

C. R. Math (2004)