Robust Tensor Factorization for Color Image and Grayscale Video Recovery
Low-rank tensor completion (LRTC) plays an important role in many fields, such as machine learning, computer vision, image processing, and mathematical theory. Since rank minimization is an NP-hard problem, one strategy is that it is converted into a convex relaxation tensor nuclear norm (TNN) that...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9200322/ |