11-13 févr. 2014 Paris (France)

Par auteur > Dabbech Arwa

Restoration of radio astronomical images: an Analysis by Synthesis Approach
Arwa Dabbech  1@  , Chiara Ferrari  2@  , David Mary  3@  , Eric Slezak  4@  
1 : Laboratoire Lagrange  -  Site web
CNRS : UMR7293, Observatoire de la Cote d'Azur, Université Nice Sophia Antipolis (UNS)
CS 34229 06304 Nice Cedex 4 -  France
2 : Laboratoire Lagrange  -  Site web
Observatoire de la Cote d'Azur, CNRS : UMR7293, Université Nice Sophia Antipolis (UNS)
Boulevard de l'Observatoire CD 34229 F-06304 NICE Cedex 4 -  France
3 : Laboratoire J.-L. Lagrange, UMR7293
Université de Nice Sophia Antipolis - CNRS - OCA
Campus Valrose, 06108 Nice Cedex 02 -  France
4 : Laboratoire Lagrange
UNS / CNRS / OCA

The SKA with its bandwidth and its instantaneous field of view will be able to survey the sky at unprecedented sensitivity and resolution in a wide region of the radio band, thanks to the exploitation of massive computing, dedicated signal processing and innovative antenna design. Yet it will give rise to new challenges in data processing, in particular the ability of image restoration algorithms to recover faint and diffuse radio sources. In radio interferometric images, such sources are buried in the PSF sidelobes of surrounding bright compact sources, and the noise . We propose a sparsity promoting restoration model which is based on highly redundant, shift invariant dictionaries, and hybrid in its sparsity priors.


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