Image Restoration Using Anisotropic Stochastic Diffusion Collaborated with Non Local Means

Abstract : 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 stochastic differential equations with reflecting boundary and famous non local means algorithm. Expressing anisotropic diffusion in terms of stochastic equations allows us to adapt the concept of similarity patches used in non local means. This novel look on the reconstruction problem is fruitful, gives encouraging results and compares favourably with other image denoising filters.
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Communication dans un congrès
Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.177-189, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_18〉
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Dariusz Borkowski, Katarzyna Jańczak-Borkowska. Image Restoration Using Anisotropic Stochastic Diffusion Collaborated with Non Local Means. Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.177-189, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_18〉. 〈hal-01496064〉

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