A non-convex perspective on calibration and imaging in radio interferometry

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3 Citations (Scopus)
1 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationWavelets and Sparsity XVII
PublisherSPIE
Number of pages13
ISBN (Electronic)9781510612464
ISBN (Print)9781510612457
DOIs
Publication statusPublished - 24 Aug 2017
EventSPIE Optical Engineering + Applications 2017 - San Diego, United States
Duration: 6 Aug 201710 Aug 2017

Publication series

NameProceedings of SPIE
Volume10394
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSPIE Optical Engineering + Applications 2017
CountryUnited States
CitySan Diego
Period6/08/1710/08/17

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    Repetti, A., & Wiaux, Y. (2017). A non-convex perspective on calibration and imaging in radio interferometry. In Wavelets and Sparsity XVII [103941W] (Proceedings of SPIE; Vol. 10394). SPIE. https://doi.org/10.1117/12.2273766