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06/23/2021
Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising
Low-rankness is important in the hyperspectral image (HSI) denoising tas...
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01/19/2021
Hyperspectral Image Restoration via Multi-mode and Double-weighted Tensor Nuclear Norm Minimization
Tensor nuclear norm (TNN) induced by tensor singular value decomposition...
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05/30/2020
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
Hyperspectral image (HSI) denoising aims to restore clean HSI from the n...
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05/28/2020
Enhanced nonconvex low-rank representation for tensor completion
Higher-order low-rank tensor arises in many data processing applications...
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05/08/2020
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation
Several bandwise total variation (TV) regularized low-rank (LR)-based mo...
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04/19/2020