3D Wavelet Sub-Bands Mixing for Image Denoising

Pierrick Coupé 1 Pierre Hellier 1 Sylvain Prima 1 Charles Kervrann 2, 3 Christian Barillot 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
3 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : A critical issue in image restoration is the problem of noise removal while keeping the integrity of relevant image information. The method proposed in this paper is a fully automatic 3D blockwise version of the Non Local (NL) Means filter with wavelet sub-bands mixing. The proposed wavelet sub-bands mixing is based on a multi-resolution approach for improving the quality of image denoising filter. Quantitative validation was carried out on synthetic datasets generated with the BrainWeb simulator. The results show that our NL-means filter with wavelet sub-bands mixing outperforms the classical implementation of the NL-means filter in terms of denoising quality and computation time. Comparison with well- established methods, such as non linear diffusion filter and total variation minimization, shows that the proposed NL-means filter produces better denoising results. Finally, qualitative results on real data are presented.
Document type :
Journal articles
Liste complète des métadonnées

Cited literature [26 references]  Display  Hide  Download

https://hal.inria.fr/inria-00332001
Contributor : Pierre Hellier <>
Submitted on : Monday, October 20, 2008 - 11:21:31 AM
Last modification on : Monday, March 4, 2019 - 2:08:21 PM
Document(s) archivé(s) le : Monday, June 7, 2010 - 8:49:35 PM

File

Coupe08a.pdf
Files produced by the author(s)

Identifiers

Citation

Pierrick Coupé, Pierre Hellier, Sylvain Prima, Charles Kervrann, Christian Barillot. 3D Wavelet Sub-Bands Mixing for Image Denoising. International Journal of Biomedical Imaging, Hindawi Publishing Corporation, 2008, pp.590183. ⟨10.1155/2008/590183⟩. ⟨inria-00332001⟩

Share

Metrics

Record views

454

Files downloads

196