Tensor completion via total curvature variation and low-rank matrix factorization

Curvature-based regularization has attracted growing concern in the field of image restoration, benefiting from its favorable geometric properties, such as preserving sharp edges, corners and contrast. Total variation regularization has the ability to promote piecewise smooth property and preserve e...

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Vydáno v:	Applied mathematical modelling Ročník 150; s. 116368
Hlavní autoři:	Xu, Zhi, Yang, Jing-Hua, Zhao, Xi-Le, Yan, Xi-hong, Wang, Chuan-long
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.02.2026
Témata:	Low-rank matrix factorization Low-rank tensor completion Proximal alternating minimization algorithm Total curvature variation Low-rank matrix factorization Proximal alternating minimization algorithm Total curvature variation Low-rank tensor completion
ISSN:	0307-904X
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