NL-Means and aggregation procedures

Authors:
J. Salmon;E. Le Pennec
Affiliations:
Laboratoire de Probabilité et Modèles Aléatoires, CNRS, UMR, Université Paris 7-Diderot, Paris;Laboratoire de Probabilité et Modèles Aléatoires, CNRS, UMR, Université Paris 7-Diderot, Paris
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Patch based denoising methods, such as the NL-Means, have emerged recently as simple and efficient denoising methods. This paper provides a new insight on those methods by showing their connection with recent statistical aggregation techniques. Within this aggregation framework, we propose some novel patch based denoising methods. We provide some theoretical justification and then explain how to implement them with a Monte Carlo based algorithm.