DocumentCode
2816494
Title
Compressed sensing for radio interferometric imaging: Review and future direction
Author
McEwen, Jason D. ; Wiaux, Yves
Author_Institution
Inst. of Electr. Eng., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
1313
Lastpage
1316
Abstract
Radio interferometry is a powerful technique for astronomical imaging. The theory of compressed sensing (CS) has been applied recently to the ill-posed inverse problem of recovering images from the measurements taken by radio interferometric telescopes. We review novel CS radio interferometric imaging techniques, both at the level of acquisition and reconstruction, and discuss their superior performance relative to traditional approaches. In order to remain as close to the theory of CS as possible, these techniques necessarily consider idealised interferometric configurations. To realise the enhancement in quality provided by these novel techniques on real radio interferometric observations, their extension to realistic interferometric configurations is now of considerable importance. We also chart the future direction of research required to achieve this goal.
Keywords
astronomical image processing; cognitive radio; CS; astronomical imaging; compressed sensing; ill-posed inverse problem; radio interferometric imaging; Compressed sensing; Image reconstruction; Imaging; Radio interferometry; TV; Telescopes; Vectors; Compressed sensing; interferometric imaging; radio interferometry; sparsity;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6115677
Filename
6115677
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