From Rank Estimation to Rank Approximation : Rank Residual Constraint for Image Restoration
In this paper, we propose a novel approach for the rank minimization problem, termed rank residual constraint (RRC). Different from existing low-rank based approaches, such as the well-known nuclear norm minimization (NNM) and the weighted nuclear norm minimization (WNNM), which estimate the underly...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 12. Dez.
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1. Verfasser: |
Zha, Zhiyuan
(VerfasserIn) |
Weitere Verfasser: |
Yuan, Xin,
Wen, Bihan,
Zhou, Jiantao,
Zhang, Jiachao,
Zhu, Ce |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2019
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article |