Destriping Hyperspectral Imagery By Adaptive Anisotropic Total Variation And Truncated Nuclear Norm

2021 ◽  
Author(s):  
Ting Hu ◽  
Na Liu ◽  
Wei Li ◽  
Ran Tao ◽  
Feng Zhang ◽  
...  
Keyword(s):  
Total Variation ◽  
Hyperspectral Imagery ◽  
Nuclear Norm ◽  
Anisotropic Total Variation ◽  
Truncated Nuclear Norm

Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer

2018 ◽  
Vol 35 (11) ◽  
pp. 1549-1566 ◽  
Author(s):  
Zhichao Xue ◽  
Jing Dong ◽  
Yuxin Zhao ◽  
Chang Liu ◽  
Ryad Chellali
Keyword(s):  
Sparse Matrix ◽  
Matrix Decomposition ◽  
Nuclear Norm ◽  
Low Rank ◽  
Truncated Nuclear Norm

Low rank matrix completion using truncated nuclear norm and sparse regularizer

2018 ◽  
Vol 68 ◽  
pp. 76-87 ◽  
Author(s):  
Jing Dong ◽  
Zhichao Xue ◽  
Jian Guan ◽  
Zi-Fa Han ◽  
Wenwu Wang
Keyword(s):  
Matrix Completion ◽  
Nuclear Norm ◽  
Low Rank ◽  
Rank Matrix ◽  
Low Rank Matrix Completion ◽  
Low Rank Matrix ◽  
Truncated Nuclear Norm

Anisotropic Total Variation Guided Filtering and Its Split Bregman Algorithm

2017 ◽  
Vol 54 (5) ◽  
pp. 051005
Author(s):  
芦碧波 Lu Bibo ◽  
王乐蓉 Wang Lerong ◽  
王永茂 Wang Yongmao ◽  
郑艳梅 Zheng Yanmei
Keyword(s):  
Total Variation ◽  
Split Bregman ◽  
Guided Filtering ◽  
Split Bregman Algorithm ◽  
Anisotropic Total Variation

A simple primal-dual algorithm for nuclear norm and total variation regularization

2018 ◽  
Vol 289 ◽  
pp. 1-12 ◽  
Author(s):  
Zhibin Zhu ◽  
Jiawen Yao ◽  
Zheng Xu ◽  
Junzhou Huang ◽  
Benxin Zhang
Keyword(s):  
Total Variation ◽  
Nuclear Norm ◽  
Total Variation Regularization ◽  
Dual Algorithm ◽  
Primal Dual
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