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Communication Dans Un Congrès Année : 2012

A New Approach for Denoising Images Based on Weights Optimization

Résumé

We propose a new algorithm to restore an image contaminated by the Gaussian white noise. Our approach is based on the weighted average of the observations in a neighborhood as in the case of the Non-Local Means Filter. But in contrast to the Non-Local Means Filter, we choose the weights by minimizing a tight upper bound of the Mean Square Error. Our theoretical results show that some ”oracle” weights defined by a triangular kernel are optimal. To construct a computable filter the ”oracle” weights are replaced by some estimates. The implementation of the proposed algorithm is straightforward. The simulations show that our approach is very competitive.
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Dates et versions

hal-01270185 , version 1 (29-01-2017)

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  • HAL Id : hal-01270185 , version 1

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Qiuy Jin, Ion Grama, Quansheng Liu. A New Approach for Denoising Images Based on Weights Optimization. International Conference on Computer Vision Theory and Applications (VISAPP 2012), Feb 2012, Rome, Italy. ⟨hal-01270185⟩
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