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20202023
most citedHyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation

68 citations · 73 across the 8 of their papers we have counts for

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eess.IV2021

Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising

Xiaozhen Xie, Sheng Liu

Low-rankness is important in the hyperspectral image (HSI) denoising tasks. The tensor nuclear norm (TNN), defined based on the tensor singular value decomposition, is a state-of-t…

eess.IV2020★ 68 cited

Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation

Haijin Zeng, Xiaozhen Xie, Jifeng Ning

Hyperspectral image (HSI) denoising aims to restore clean HSI from the noise-contaminated one. Noise contamination can often be caused during data acquisition and conversion. In th…