A neural-network inpainting variant of BUQO that turns local artefact hypothesis testing into a primal-dual optimization problem for Fourier and Radon imaging operators.
Proximal splitting methods in signal processing,
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A Plug-and-Play Method with Inpainting Network for Bayesian Uncertainty Quantification in Imaging
A neural-network inpainting variant of BUQO that turns local artefact hypothesis testing into a primal-dual optimization problem for Fourier and Radon imaging operators.