Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3110769 ◽

2021 ◽

pp. 1-16

Author(s):

Yong Chen ◽

Ting-Zhu Huang ◽

Wei He ◽

Xi-Le Zhao ◽

Hongyan Zhang ◽

...

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Factor Group ◽

Low Rank ◽

Group Sparsity ◽

Low Rank Approximation ◽

Rank Approximation

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Hyperspectral image denoising via spectral and spatial low-rank approximation

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127926 ◽

2017 ◽

Author(s):

Yi Chang ◽

Luxin Yan ◽

Sheng Zhong

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation

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Improved MR image denoising via low- rank approximation and Laplacian-of-Gaussian edge detector

IET Image Processing ◽

10.1049/iet-ipr.2019.1648 ◽

2020 ◽

Vol 14 (12) ◽

pp. 2791-2798

Author(s):

Xiaoqun Qiu ◽

Zhen Chen ◽

Saifullah Adnan ◽

Hongwei He

Keyword(s):

Image Denoising ◽

Low Rank ◽

Edge Detector ◽

Low Rank Approximation ◽

Mr Image ◽

Rank Approximation

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Non-Convex Low-Rank Approximation for Hyperspectral Image Recovery with Weighted Total Varaition Regularization

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8517993 ◽

2018 ◽

Author(s):

Hanyang Li ◽

Peipei Sun ◽

Hongyi Liu ◽

Zebin Wu ◽

Zhihui Wei

Keyword(s):

Hyperspectral Image ◽

Low Rank ◽

Image Recovery ◽

Low Rank Approximation ◽

Rank Approximation

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Medical Image Denoising Based on Biquadratic Polynomial With Minimum Error Constraints and Low-Rank Approximation

IEEE Access ◽

10.1109/access.2020.2990463 ◽

2020 ◽

Vol 8 ◽

pp. 84950-84960

Author(s):

Linlin Ji ◽

Qiang Guo ◽

Mingli Zhang

Keyword(s):

Image Denoising ◽

Medical Image ◽

Low Rank ◽

Low Rank Approximation ◽

Minimum Error ◽

Rank Approximation

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Image denoising by low-rank approximation with estimation of noise energy distribution in SVD domain

IET Image Processing ◽

10.1049/iet-ipr.2018.6357 ◽

2019 ◽

Vol 13 (4) ◽

pp. 680-691 ◽

Author(s):

Linwei Fan ◽

Ran Meng ◽

Qiang Guo ◽

Miaowen Shi ◽

Caiming Zhang

Keyword(s):

Energy Distribution ◽

Image Denoising ◽

Low Rank ◽

Low Rank Approximation ◽

Noise Energy ◽

Rank Approximation

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Image Denoising via Nonlocal Low Rank Approximation With Local Structure Preserving

IEEE Access ◽

10.1109/access.2018.2890417 ◽

2019 ◽

Vol 7 ◽

pp. 7117-7132 ◽

Author(s):

Zhou Liu ◽

Lei Yu ◽

Hong Sun

Keyword(s):

Image Denoising ◽

Local Structure ◽

Low Rank ◽

Low Rank Approximation ◽

Structure Preserving ◽

Rank Approximation

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An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2012.00819 ◽

2014 ◽

Vol 35 (1) ◽

pp. 99-105

Author(s):

Liang Luo ◽

Xiang-chu Feng ◽

Xuan-de Zhang ◽

Xiao-ping Li

Keyword(s):

Image Denoising ◽

Random Projection ◽

Low Rank ◽

Low Rank Approximation ◽

Denoising Method ◽

Non Local ◽

Rank Approximation

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Real-World Image Denoising via Weighted Low Rank Approximation

2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) ◽

10.1109/icmew.2019.00050 ◽

2019 ◽

Author(s):

Yuenan Guo ◽

Ying Fu ◽

Hua Huang

Keyword(s):

Image Denoising ◽

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation ◽

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Enhanced residual noise estimation of low rank approximation for image denoising

Neurocomputing ◽

10.1016/j.neucom.2018.02.063 ◽

2018 ◽

Vol 293 ◽

pp. 1-11 ◽

Author(s):

Dai-Gyoung Kim ◽

Zahid Hussain Shamsi

Keyword(s):

Image Denoising ◽

Noise Estimation ◽

Low Rank ◽

Low Rank Approximation ◽

Residual Noise ◽

Rank Approximation

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Adaptive regularizer learning for low rank approximation with application to image denoising

2016 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2016.7532929 ◽

2016 ◽

Author(s):

Xixi Jia ◽

Xiangchu Feng ◽

Weiwei Wang

Keyword(s):

Image Denoising ◽

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation

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