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cs.CV2021
Hyperspectral Image Denoising via Multi-modal and Double-weighted Tensor Nuclear Norm
Sheng Liu, Xiaozhen Xie, Wenfeng Kong
Hyperspectral images (HSIs) usually suffer from different types of pollution. This severely reduces the quality of HSIs and limits the accuracy of subsequent processing tasks. HSI…
cs.CV2020★ 1 cited
Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion
Haijin Zeng
Low-rank tensor completion has been widely used in computer vision and machine learning. This paper develops a novel multi-modal core tensor factorization (MCTF) method combined wi…