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
Link To Document :
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