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Non Local Means on Random Anisotropic Sub-Image

Dariusz Borkowski


In this paper we explore the problem of the reconstruction of images with additive Gaussian noise. In order to solve this inverse problem we use non local means algorithm defined on not square domain. We propose to use the domain driven by stochastic process adapted to the local geometry of the image. This simple modification is fruitful, gives encouraging results and compares favourably with non local means method.


image denoising, stochastic process, non local means.

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