A convergent blind deconvolution method for post-adaptive-optics astronomical imaging

DOI10.1088/0266-5611/29/6/065017zbMath1286.68477arXiv1305.0421OpenAlexW3098414497MaRDI QIDQ2852296

Silvia Bonettini, Marco Prato, Andrea La Camera, Mario Bertero

Publication date: 8 October 2013

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.0421

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Neural blind deconvolution with Poisson data ⋮ A convergent least-squares regularized blind deconvolution approach ⋮ A new steplength selection for scaled gradient methods with application to image deblurring ⋮ Convergence of Inexact Forward--Backward Algorithms Using the Forward--Backward Envelope ⋮ Multichannel blind deconvolution via maximum likelihood estimator: application in neural recordings ⋮ A cyclic block coordinate descent method with generalized gradient projections ⋮ Starlet Transform in Astronomical Data Processing ⋮ A block coordinate variable metric linesearch based proximal gradient method ⋮ Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization ⋮ Scaling Techniques for $\epsilon$-Subgradient Methods

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