PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images

Autor: Julie Delon, Agnès Desolneux, Thierry Guillemot
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Image Processing On Line, Vol 6, Pp 130-154 (2016)
Druh dokumentu: article
ISSN: 2105-1232
DOI: 10.5201/ipol.2016.161
Popis: In this paper, we present an implementation of the PARIGI method that addresses the problem of the restoration of images affected by impulse noise or by a mixture of Gaussian and impulse noise. The method relies on a patch-based approach, which requires careful choices for both the distance between patches and for the statistical estimator of the original patch. Experiments are performed in the case of pure impulse noise and in the case of a mixture of Gaussian and impulse noise.
Databáze: Directory of Open Access Journals