MRI Denoising Using Low Rank Prior and Sparse Gradient Prior

MRI Denoising Using Low Rank Prior and Sparse Gradient Prior

Image priors have been successfully introduced to solve ill-posed problems, such as image denoising. In this paper, we propose a new denoising model for magnetic resonance images (MRIs) which employs the image low-rank and sparse gradient priors. First, we use a Gaussian mixture model (GMM) to guide...

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Bibliographic Details
Main Authors: Yuhan Zhang, Zhipeng Yang, Jinrong Hu, Shurong Zou, Ying Fu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
MRI denoising
Rician noise
patch self-similarity
gradient sparsity
Online Access:https://ieeexplore.ieee.org/document/8686326/

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