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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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 Super-Resolution via Nonlocal Low-Rank Tensor Approximation and Total Variation Regularization

Remote Sensing ◽

10.3390/rs9121286 ◽

2017 ◽

Vol 9 (12) ◽

pp. 1286 ◽

Author(s):

Yao Wang ◽

Xi’ai Chen ◽

Zhi Han ◽

Shiying He

Keyword(s):

Total Variation ◽

Hyperspectral Image ◽

Super Resolution ◽

Low Rank ◽

Total Variation Regularization ◽

Rank Tensor ◽

Tensor Approximation ◽

Image Super Resolution

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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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Total Variation Regularized Low-Rank Tensor Approximation for Color Image Denoising

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2018.00432 ◽

2018 ◽

Author(s):

Yongyong Chen ◽

Yicong Zhou

Keyword(s):

Image Denoising ◽

Total Variation ◽

Color Image ◽

Low Rank ◽

Rank Tensor ◽

Color Image Denoising ◽

Tensor Approximation

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Total Variation Regularized Low-Rank Tensor Decomposition with nonlocal for single image denoising

10.1109/rcar52367.2021.9517668 ◽

2021 ◽

Author(s):

Shengchuan Li ◽

Yanmei Wang ◽

Qiong Luo ◽

Kai Wang ◽

Zhi Han ◽

...

Keyword(s):

Image Denoising ◽

Total Variation ◽

Tensor Decomposition ◽

Low Rank ◽

Single 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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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 Restoration via Subspace-Based Nonlocal Low-Rank Tensor Approximation

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2022.3141801 ◽

2022 ◽

pp. 1-1

Author(s):

Yanhong Yang ◽

Yuan Feng ◽

Jianhua Zhang ◽

Shengyong Chen

Keyword(s):

Image Restoration ◽

Hyperspectral Image ◽

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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A patch-based low-rank tensor approximation model for multiframe image denoising

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2017.01.022 ◽

2018 ◽

Vol 329 ◽

pp. 125-133 ◽

Author(s):

Ruru Hao ◽

Zhixun Su

Keyword(s):

Image Denoising ◽

Low Rank ◽

Approximation Model ◽

Rank Tensor ◽

Tensor Approximation

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