Adaptive Multiresolution Denoising Filter for 3D MR Images

Abstract : In MR imaging, denoising is an important issue in some clinical uses. Recently a new filter has been introduced by Buades: the Non-Local (NL-) means filter. Based on the natural redundancy of the images, this filter uses comparison of image patches in order to achieve the denoising. Due to its simplicity and high denoising performance, this filter is one of the best state-of-the-art methods. Nevertheless, according to the nature of the underlying structures the filtering parameters should be adapted. To implicitly optimize the amount of denoising according to the underlying structure, an adaptive multiresolution framework is proposed.
Type de document :
Communication dans un congrès
Organization for Human Brain Mapping 2009 Annual Meeting, Jun 2009, United States. 47, pp.S50, 2009, 〈10.1016/S1053-8119(09)70119-3〉
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https://hal.archives-ouvertes.fr/hal-00645467
Contributeur : Pierrick Coupé <>
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Dernière modification le : vendredi 13 avril 2018 - 19:54:13
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Pierrick Coupé, José Manjón, Montserrat Robles, Louis Collins. Adaptive Multiresolution Denoising Filter for 3D MR Images. Organization for Human Brain Mapping 2009 Annual Meeting, Jun 2009, United States. 47, pp.S50, 2009, 〈10.1016/S1053-8119(09)70119-3〉. 〈hal-00645467〉

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