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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Veröffentlicht in:	Applied mathematical modelling Jg. 150; S. 116368
Hauptverfasser:	Xu, Zhi, Yang, Jing-Hua, Zhao, Xi-Le, Yan, Xi-hong, Wang, Chuan-long
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.02.2026
Schlagworte:	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
Online-Zugang:	Volltext
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