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Communication Dans Un Congrès Année : 2012

NON-LOCAL FILTER FOR REMOVING A MIXTURE OF GAUSSIAN AND IMPULSE NOISES

Bing Li
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Résumé

In this paper we first present two convergence theorems which give a theoretical justification of the Non-Local Means Filter. Based on these theorems, we propose a new filter, called Non-Local Mixed Filter, to remove a mixture of Gaussian and random impulse noises. This filter combines the essential ideas of the Trilateral Filter and the Non-Local Means Filter. It improves the Trilateral Filter and extends the Non-Local Means Filter. Our experiments show that the new filter generally outperforms two other recent proposed methods. A careful discussion and simple formulas are given for the choice of parameters for the proposed filter.
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Dates et versions

hal-00906531 , version 1 (20-11-2013)

Identifiants

  • HAL Id : hal-00906531 , version 1

Citer

Haijuan Hu, Bing Li, Quansheng Liu. NON-LOCAL FILTER FOR REMOVING A MIXTURE OF GAUSSIAN AND IMPULSE NOISES. International Conference on Computer Vision Theory and Application (VISAPP2012), Feb 2012, Italy. pp.145-150. ⟨hal-00906531⟩
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