3D Wavelet Subbands Mixing for Image Denoising
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 nonlocal (NL) means filter with wavelet subbands mixing. The proposed wavelet subbands m...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2008/590183 |
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| _version_ | 1832561187679633408 |
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| author | Pierrick Coupé Pierre Hellier Sylvain Prima Charles Kervrann Christian Barillot |
| author_facet | Pierrick Coupé Pierre Hellier Sylvain Prima Charles Kervrann Christian Barillot |
| author_sort | Pierrick Coupé |
| collection | DOAJ |
| description | 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
nonlocal (NL) means filter with wavelet subbands mixing. The proposed
wavelet subbands mixing is based on a multiresolution 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 subbands
mixing outperforms the classical implementation of the NL-means filter in
terms of denoising quality and computation time. Comparison with wellestablished
methods, such as nonlinear 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. |
| format | Article |
| id | doaj-art-f1720f1c0d044246a8b795e46a20b350 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-f1720f1c0d044246a8b795e46a20b3502025-02-03T01:25:51ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962008-01-01200810.1155/2008/5901835901833D Wavelet Subbands Mixing for Image DenoisingPierrick Coupé0Pierre Hellier1Sylvain Prima2Charles Kervrann3Christian Barillot4University of Rennes I, CNRS UMR 6074, IRISA, F-35042 Rennes, FranceUniversity of Rennes I, CNRS UMR 6074, IRISA, F-35042 Rennes, FranceUniversity of Rennes I, CNRS UMR 6074, IRISA, F-35042 Rennes, FranceUR341 Mathematiques et Informatique Appliquées, INRA, F-78352 Jouy en Josas Cedex, FranceUniversity of Rennes I, CNRS UMR 6074, IRISA, F-35042 Rennes, FranceA 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 nonlocal (NL) means filter with wavelet subbands mixing. The proposed wavelet subbands mixing is based on a multiresolution 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 subbands mixing outperforms the classical implementation of the NL-means filter in terms of denoising quality and computation time. Comparison with wellestablished methods, such as nonlinear 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.http://dx.doi.org/10.1155/2008/590183 |
| spellingShingle | Pierrick Coupé Pierre Hellier Sylvain Prima Charles Kervrann Christian Barillot 3D Wavelet Subbands Mixing for Image Denoising International Journal of Biomedical Imaging |
| title | 3D Wavelet Subbands Mixing for Image Denoising |
| title_full | 3D Wavelet Subbands Mixing for Image Denoising |
| title_fullStr | 3D Wavelet Subbands Mixing for Image Denoising |
| title_full_unstemmed | 3D Wavelet Subbands Mixing for Image Denoising |
| title_short | 3D Wavelet Subbands Mixing for Image Denoising |
| title_sort | 3d wavelet subbands mixing for image denoising |
| url | http://dx.doi.org/10.1155/2008/590183 |
| work_keys_str_mv | AT pierrickcoupe 3dwaveletsubbandsmixingforimagedenoising AT pierrehellier 3dwaveletsubbandsmixingforimagedenoising AT sylvainprima 3dwaveletsubbandsmixingforimagedenoising AT charleskervrann 3dwaveletsubbandsmixingforimagedenoising AT christianbarillot 3dwaveletsubbandsmixingforimagedenoising |