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Conference papers

Non-local PCA-based MRI denoising

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.
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Conference papers
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Contributor : Pierrick Coupé Connect in order to contact the contributor
Submitted on : Wednesday, March 19, 2014 - 3:18:56 PM
Last modification on : Monday, December 20, 2021 - 4:50:11 PM


  • HAL Id : hal-00961154, version 1


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. ⟨hal-00961154⟩



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