A New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy

DOI10.1137/120873169zbMath1282.94010OpenAlexW2039091494WikidataQ113079375 ScholiaQ113079375MaRDI QIDQ2873261

Marco Prato, Silvia Bonettini, Anastasia Cornelio

Publication date: 23 January 2014

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11380/950091

zbMATH Keywords

Fourier transformgradient methodsblind deconvolutionremote sensingastronomical imagingsolar flares

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Computational methods for problems pertaining to astronomy and astrophysics (85-08) Numerical methods for inverse problems for integral equations (65R32)

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A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau ⋮ A convergent least-squares regularized blind deconvolution approach ⋮ Linearly Constrained Non-Lipschitz Optimization for Image Restoration ⋮ Numerical methods for parameter estimation in Poisson data inversion ⋮ A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring ⋮ A cyclic block coordinate descent method with generalized gradient projections ⋮ Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau ⋮ A block coordinate variable metric linesearch based proximal gradient method ⋮ Feature augmentation for the inversion of the Fourier transform with limited data ⋮ A denoising model adapted for impulse and Gaussian noises using a constrained-PDE ⋮ Sparse Bayesian Imaging of Solar Flares ⋮ A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems ⋮ Maximum-a-Posteriori Estimation with Bayesian Confidence Regions

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