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Conference Papers Year : 2014

Non-local PCA-based MRI denoising

Jose Vicente Manjon
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Antoni Buades
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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.


Medical Imaging
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Dates and versions

hal-00961154 , version 1 (19-03-2014)


  • 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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