Abstract : This work proposes two methods for MRI denoising that exploit both the sparseness and self-similarity properties of the image. The proposed methods are based on 1) an overcomplete non-local patch grouping PCA hard thresholding and 2) a rotationally invariant nonlocal means filter that uses the output of first filter as a guide image to filter the image.
Type de document :
Communication dans un congrès
Organization for Human Brain Mapping 2014 Annual Meeting, Jun 2014, Hamburg, Germany. 2014
https://hal.archives-ouvertes.fr/hal-00961154
Contributeur : Pierrick Coupé
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Soumis le : mercredi 19 mars 2014 - 15:18:56
Dernière modification le : jeudi 31 mai 2018 - 09:12:02
Jose Vicente Manjon, Pierrick Coupé, Antoni Buades. Non-local PCA-based MRI denoising. Organization for Human Brain Mapping 2014 Annual Meeting, Jun 2014, Hamburg, Germany. 2014. 〈hal-00961154〉
