Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform

This paper addresses the tensor completion problem, which aims to recover missing information of multi-dimensional images. How to represent a low-rank structure embedded in the underlying data is the key issue in tensor completion. In this work, we suggest a novel low-rank tensor representation base...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 08., Seite 3581-3596
1. Verfasser:	Wang, Jian-Li (VerfasserIn)
Weitere Verfasser:	Huang, Ting-Zhu, Zhao, Xi-Le, Jiang, Tai-Xiang, Ng, Michael K
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2021
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article