Denoising 3D medical images using a second order variational model and wavelet shrinkage
Résumé
The aim of this paper is to construct a model which decomposes a 3D image into two components: the fi rst one containing the geometrical structure of the image, the second one containing the noise. The proposed method is based on a second order variational model and an undecimated wavelet thresholding operator. The numerical implementation is described, and some experiments for denoising a 3D MRI imageare successfully performed. Future prospects are finally exposed.
Origine : Fichiers produits par l'(les) auteur(s)
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