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3D Wavelet Sub-Bands Mixing for Image Denoising
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.
Cited literature [26 references]
https://hal.inria.fr/inria-00332001
Contributor : Pierre Hellier <>
Submitted on : Monday, October 20, 2008 - 11:21:31 AM
Last modification on : Tuesday, March 17, 2020 - 2:25:32 AM
Document(s) archivé(s) le : Monday, June 7, 2010 - 8:49:35 PM
Contributor : Pierre Hellier <>
Submitted on : Monday, October 20, 2008 - 11:21:31 AM
Last modification on : Tuesday, March 17, 2020 - 2:25:32 AM
Document(s) archivé(s) le : Monday, June 7, 2010 - 8:49:35 PM
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Coupe08a.pdf
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