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.
Original language | English |
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Title of host publication | Proceedings of the 18th IEEE International Conference on Image Processing |
Pages | 1313-1316 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-4577-1302-6 |
DOIs | |
Publication status | Published - 2011 |
Event | 18th IEEE International Conference on Image Processing 2011 - Brussels, Belgium Duration: 11 Sept 2011 → 14 Sept 2011 |
Conference
Conference | 18th IEEE International Conference on Image Processing 2011 |
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Abbreviated title | ICIP 2011 |
Country/Territory | Belgium |
City | Brussels |
Period | 11/09/11 → 14/09/11 |
Keywords
- Compressed sensing
- interferometric imaging
- radio interferometry
- sparsity
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing