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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
35 Downloads (Pure)


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
Number of pages13
ISBN (Electronic)9781510612464
ISBN (Print)9781510612457
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
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceSPIE Optical Engineering + Applications 2017
Country/TerritoryUnited States
CitySan Diego


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