A Low-Rank Tensor Decomposition Model With Factors Prior and Total Variation for Impulsive Noise Removal
Author:
Affiliation:
1. College of Computer Science and Electronics Engineering, Hunan University, Changsha, China
2. School of Design, Hunan University, Changsha, China
Funder
National Key Research and Development Program of China
Key Research and Development Program of Hunan
Leading Plan for Scientific and Technological Innovation of High-Tech Industries of Hunan
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9626658/09765360.pdf?arnumber=9765360
Reference67 articles.
1. Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
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4. Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery
5. Hyperspectral image restoration via CNN denoiser prior regularized low-rank tensor recovery
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