A patch-based approach for removing mixed Gaussian-impulse noise

Julie Delon (1) , Agnès Desolneux (2)

1 LTCI - Laboratoire Traitement et Communication de l'Information
2 CMLA - Centre de Mathématiques et de Leurs Applications

In this paper, we address the problem of the restoration of images which have been affected by a mixture of Gaussian and impulse noise. We rely 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 led in the case of pure impulse noise and in the case of a mixture. The method proves to be particularly powerful, especially for the restoration of textured regions, and compares favorably to recent restoration methods.

Mots clés: restoration; denoising; Gaussian noise; impulse noise; non local methods; image patch; maximum likelihood estimator; order statistics

Domaines: Traitement des images [eess.IV]

Julie Delon, Agnès Desolneux. A patch-based approach for removing mixed Gaussian-impulse noise. 2012. ⟨hal-00718612v1⟩