Carrillo, RE;
McEwen, JD;
Wiaux, Y;
(2015)
Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging.
In:
Proceedings of the International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop.
(pp. p. 32).
Biomedical and Astronomical Signal Processing (BASP) Frontiers: Villars-sur-Ollon, Switzerland.
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Abstract
In recent works, sparse models and convex optimization techniques have been applied to radio-interferometric (RI) imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. In this talk, I will review our latest contributions in RI imaging, which leverage the versatility of convex optimization to both handle realistic continuous visibilities and offer a highly parallelizable structure paving the way to high-dimensional data scalability. Firstly, I will review our recently proposed average sparsity approach, SARA, which relies on the observation that natural images exhibit strong average sparsity over multiple coherent bases. Secondly, I will discuss efficient implementations of SARA, and sparse regularization problems in general, for large-scale imaging problems in a new toolbox dubbed PURIFY
| Type: | Proceedings paper |
|---|---|
| Title: | Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging |
| Event: | International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.baspfrontiers.org/archive/2015/proceedi... |
| Language: | English |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1496837 |
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