Non-Local SVD Denoising of MRI Based on Sparse Representations

Non-Local SVD Denoising of MRI Based on Sparse Representations

Magnetic Resonance (MR) Imaging is a diagnostic technique that produces noisy images, which must be filtered before processing to prevent diagnostic errors. However, filtering the noise while keeping fine details is a difficult task. This paper presents a method, based on sparse representations and...

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Bibliographic Details
Main Authors: Nallig Leal, Eduardo Zurek, Esmeide Leal
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
dictionary learning
image denoising
mr images
non-local filtering
singular value decomposition
sparse representations
Online Access:https://www.mdpi.com/1424-8220/20/5/1536

Internet

https://www.mdpi.com/1424-8220/20/5/1536

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