Iterative wavelet-based denoising methods and robust outlier detection.
Fiche publication
Date publication
août 2005
Auteurs
Membres identifiés du Cancéropôle Est :
Pr WOLF Didier
Tous les auteurs :
Ranta R, Louis-Dorr V, Heinrich C, Wolf D
Lien Pubmed
Résumé
The goal of this letter is to study convergence conditions for a previously presented iterative wavelet denoising method and to shed light on its relationship with outlier rejection. This method involves a user-defined parameter, which must fulfill certain conditions in order to ensure denoising. Using generalized Gaussian modeling for the wavelet coefficients distribution, we obtain a lower bound for this parameter, and the resulting threshold, both adapted to the shape of the distribution. The properties of this threshold are examined, and the proposed method is compared with other classical rejection methods.
Référence
Ieee Signal Process Lett. 2005 Aug;12(8):557-60.