An aggregator point of view on NL-Means
Joseph Salmon, Erwan Le Pennec · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Patch based methods give some of the best denoising results. Their theoretical performances are still unexplained mathematically. We propose a novel insight of NL-Means based on an aggregation point of view. More precisely, we describe the framework of PAC-Bayesian aggregation, show how it allows to derive some new patch based methods and to characterize their theoretical performances, and present some numerical experiments.