From Event: SPIE Optical Engineering + Applications, 2017
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.
Audrey Repetti and Yves Wiaux, "A non-convex perspective on calibration and imaging in radio interferometry," Proc. SPIE 10394, Wavelets and Sparsity XVII, 103941W (Presented at SPIE Optical Engineering + Applications: August 09, 2017; Published: 24 August 2017); https://doi.org/10.1117/12.2273766.
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