[IPOL announce] new article: PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2016/161/

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.
http://dx.doi.org/10.5201/ipol.2016.161

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.