Principled MAP estimation for inverse problems: bridging the gap between convergence and performance
Pretrained denoisers provide a powerful way to incorporate image priors into restoration algorithms. Plug-and-Play and RED approaches exploit fixed-noise-level denoisers within first-order optimization schemes, with convergence guarantees, but often struggle to achieve high-quality reconstruction on severely ill-posed...
Alexandre Lagier, Valentine Tosel, Anne Gagneux et al.
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