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 <>
Soumis le : mercredi 19 mars 2014 - 15:18:56
Dernière modification le : mardi 11 octobre 2016 - 12:03:59
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>
