Untrained Low-Rank Neural Network Prior for Multi-Dimensional Image Recovery-Reference-Cited by-同舟云学术

Untrained Low-Rank Neural Network Prior for Multi-Dimensional Image Recovery

Published:2023 Issue: Volume:30 Page:1647-1651
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Wu Wei-Hao¹^ORCID,Huang Ting-Zhu¹^ORCID,Zhang Hao¹^ORCID,Wang Jian-Li²^ORCID,Zhao Xi-Le¹^ORCID

Affiliation:

1. Research Center for Image and Vision Computing, School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China

2. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Open Research Fund Program of Data Recovery Key Laboratory of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10288186.pdf?arnumber=10288186

Reference40 articles.

1. Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion

2. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc 18th Med Image Comput Comput -Assist Interv,0

3. A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion

4. Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

5. Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train

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