Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective

31 Aug 2018 Stanley H. Chan

The Plug-and-Play (PnP) ADMM algorithm is a powerful image restoration framework that allows advanced image denoising priors to be integrated into physical forward models to generate high quality image restoration results. However, despite the enormous number of applications and several theoretical studies trying to prove the convergence by leveraging tools in convex analysis, very little is known about why the algorithm is doing so well... (read more)

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