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Proceedings Paper

A non-convex perspective on calibration and imaging in radio interferometry
Author(s): Audrey Repetti; Yves Wiaux
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Paper Abstract

New generations of imaging devices aim to produce high resolution and high dynamic range images. In this context, the associated high dimensional inverse problems can become extremely challenging from an algorithmic view point. Moreover, the imaging procedure can be affected by unknown calibration kernels. This leads to the need of performing joint image reconstruction and calibration, and thus of solving non-convex blind deconvolution problems. In this work, we focus on the case where the observed object is affected by smooth calibration kernels in the context of radio astronomy, and we leverage a block-coordinate forward-backward algorithm, specifically designed to minimize non-smooth non-convex and high dimensional objective functions.

Paper Details

Date Published: 24 August 2017
PDF: 13 pages
Proc. SPIE 10394, Wavelets and Sparsity XVII, 103941W (24 August 2017); doi: 10.1117/12.2273766
Show Author Affiliations
Audrey Repetti, Heriot-Watt Univ. (United Kingdom)
Yves Wiaux, Heriot-Watt Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 10394:
Wavelets and Sparsity XVII
Yue M. Lu; Dimitri Van De Ville; Manos Papadakis, Editor(s)

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