3-D Array Image Data Completion by Tensor Decomposition and Nonconvex Regularization Approach-Reference-Cited by-同舟云学术

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3-D Array Image Data Completion by Tensor Decomposition and Nonconvex Regularization Approach

Published:2022 Issue: Volume:70 Page:4291-4304
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Yang Ming¹,Luo Qilun²,Li Wen³^ORCID,Xiao Mingqing²^ORCID

Affiliation:

1. Department of Computer Science, Southern Illinois University-Carbondale, Carbondale, IL, USA

2. Department of Mathematics, Southern Illinois University-Carbondale, Carbondale, IL, USA

3. School of Mathematical Sciences, South China Normal University, Guangzhou, Guangdong, China

Funder

NSF-DMS of United States

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9675017/09872134.pdf?arnumber=9872134

Reference43 articles.

1. Simultaneous Tensor Decomposition and Completion Using Factor Priors

2. Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach

3. t-Schatten-$p$ Norm for Low-Rank Tensor Recovery

4. Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery

5. Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm

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