PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images
Julie Delon, Agnès Desolneux, Thierry Guillemot
→ BibTeX
@article{ipol.2016.161,
    title   = {{PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images}},
    author  = {Delon, Julie and Desolneux, Agnès and Guillemot, Thierry},
    journal = {{Image Processing On Line}},
    volume  = {6},
    pages   = {130--154},
    year    = {2016},
    doi     = {10.5201/ipol.2016.161},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2016.161}}
published
2016-06-29
reference
Julie Delon, Agnès Desolneux, and Thierry Guillemot, PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images, Image Processing On Line, 6 (2016), pp. 130–154. https://doi.org/10.5201/ipol.2016.161

Communicated by Mauricio Delbracio, Sandra Doucet
Demo edited by Thierry Guillemot

This IPOL article is related to a companion publication in the SIAM Journal on Imaging Sciences:
J. Delon, and A. Desolneux. "A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise" SIAM Journal on Imaging Sciences 6(2):1140-1174, 2013. http://dx.doi.org/10.1137/120885000


Abstract

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.

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