CT Image Reconstruction via Nonlocal Low-Rank Regularization and Data-Driven Tight Frame

CT Image Reconstruction via Nonlocal Low-Rank Regularization and Data-Driven Tight Frame

X-ray computed tomography (CT) is widely used in medical applications, where many efforts have been made for decades to eliminate artifacts caused by incomplete projection. In this paper, we propose a new CT image reconstruction model based on nonlocal low-rank regularity and data-driven tight frame...

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Bibliographic Details
Main Authors: Yanfeng Shen, Shuli Sun, Fengsheng Xu, Yanqin Liu, Xiuling Yin, Xiaoshuang Zhou
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Symmetry
Subjects:
Radon transform
image inpainting
nonlocal low-rank regularity
data-driven tight frame
Online Access:https://www.mdpi.com/2073-8994/13/10/1873

Internet

https://www.mdpi.com/2073-8994/13/10/1873

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