Hyperspectral image denoising by total variation-regularized bilinear factorization

Signal Processing ◽

10.1016/j.sigpro.2020.107645 ◽

2020 ◽

Vol 174 ◽

pp. 107645

Author(s):

Yongyong Chen ◽

Jiaxue Li ◽

Yicong Zhou

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image

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Thermal Hyperspectral Image Denoising Using Total Variation Based on Bidirectional Estimation and Brightness Temperature Smoothing

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3066627 ◽

2021 ◽

pp. 1-5

Author(s):

Xinyuan Miao ◽

Ye Zhang ◽

Junping Zhang

Keyword(s):

Brightness Temperature ◽

Image Denoising ◽

Total Variation ◽

Hyperspectral Image

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A Comparative Analysis of Total Variation and Least Square Based Hyperspectral Image Denoising Methods

2018 International Conference on Communication and Signal Processing (ICCSP) ◽

10.1109/iccsp.2018.8524265 ◽

2018 ◽

Author(s):

Naveen Varghese Jacob ◽

V Sowmya ◽

K P Soman

Keyword(s):

Comparative Analysis ◽

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

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Hyperspectral Image Denoising Using Group Low-Rank and Spatial-Spectral Total Variation

IEEE Access ◽

10.1109/access.2019.2911864 ◽

2019 ◽

Vol 7 ◽

pp. 52095-52109 ◽

Author(s):

Taner Ince

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

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Hyperspectral Image Denoising with Collaborative Total Variation and Low Rank Regularization

10.1109/igarss47720.2021.9554884 ◽

2021 ◽

Author(s):

Lu Yang ◽

Jinhuan Xu ◽

Liang Xiao

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

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Spatial–Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2833473 ◽

2018 ◽

Vol 56 (10) ◽

pp. 6196-6213 ◽

Author(s):

Haiyan Fan ◽

Chang Li ◽

Yulan Guo ◽

Gangyao Kuang ◽

Jiayi Ma

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Low Rank ◽

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Hyperspectral Image Denoising Based on Superpixel Segmentation Low-Rank Matrix Approximation and Total Variation

Circuits Systems and Signal Processing ◽

10.1007/s00034-021-01938-9 ◽

2022 ◽

Author(s):

Y. Behroozi ◽

M. Yazdi ◽

A. Zolghadr asli

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

Low Rank ◽

Matrix Approximation ◽

Superpixel Segmentation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2019.2947333 ◽

2020 ◽

Vol 58 (5) ◽

pp. 3071-3084 ◽

Author(s):

Hongyan Zhang ◽

Lu Liu ◽

Wei He ◽

Liangpei Zhang

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Low Rank ◽

Total Variation Regularization ◽

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Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximation

Signal Processing ◽

10.1016/j.sigpro.2020.107805 ◽

2021 ◽

Vol 178 ◽

pp. 107805

Author(s):

Haijin Zeng ◽

Xiaozhen Xie ◽

Jifeng Ning

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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Hyperspectral Image Denoising Using Spatio-Spectral Total Variation

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2016.2518218 ◽

2016 ◽

pp. 1-5 ◽

Author(s):

Hemant Kumar Aggarwal ◽

Angshul Majumdar

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image

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Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2012.2185054 ◽

2012 ◽

Vol 50 (10) ◽

pp. 3660-3677 ◽

Author(s):

Qiangqiang Yuan ◽

Liangpei Zhang ◽

Huanfeng Shen

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

Total Variation Model ◽

Adaptive Total Variation ◽

Variation Model

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