NOWNUNM: Nonlocal Weighted Nuclear Norm Minimization for Sparse-Sampling CT Reconstruction

NOWNUNM: Nonlocal Weighted Nuclear Norm Minimization for Sparse-Sampling CT Reconstruction

Computed tomography (CT) image reconstruction using classical total variation (TV)-based methods or its variations inevitably suffers from a blocky effect when the sampling number is low, because of the piecewise assumption. A low-rank based method is an effective way to circumvent this side effect....

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Bibliographic Details
Main Authors: Yi Zhang, Kang Yang, Yining Zhu, Wenjun Xia, Peng Bao, Jiliu Zhou
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Image reconstruction
computed tomography (CT)
low-rank
total variation
Online Access:https://ieeexplore.ieee.org/document/8543791/

Internet

https://ieeexplore.ieee.org/document/8543791/

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