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Université d'Orléans |  |
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Université d'Orléans | |
| HAL : hal-00682783, version 1 |
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| Denoising 3D medical images using a second order variational model and wavelet shrinkage |
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| Minh Phuong Tran 1Renaud Péteri 2 |
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| (26/03/2012) |
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| 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. |
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| 1 : | Mathématiques - Analyse, Probabilités, Modélisation - Orléans (MAPMO) |
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Université d'Orléans – CNRS : UMR7349 |
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| 2 : | Mathématiques, Image et Applications (MIA) |
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Université de La Rochelle : EA3165 |
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| Domaine | : | Mathématiques/Optimisation et contrôle Sciences de l'ingénieur/Traitement du signal et de l'image Informatique/Traitement du signal et de l'image |
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| Image Decomposition – Image Denoising – Undecimated wavelet Shrinkage – Second order variational model – 3D medical image |
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| hal-00682783, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00682783 | |
| oai:hal.archives-ouvertes.fr:hal-00682783 | |
| Contributeur : Maïtine Bergounioux | |
| Soumis le : Lundi 26 Mars 2012, 18:33:33 | |
| Dernière modification le : Lundi 26 Mars 2012, 19:44:17 | |
