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Quaternion tensor singular value decomposition using a flexible transform-based approach
Miao, Jifei1; Kou, Kit Ian2
2023-05-01
Source PublicationSignal Processing
ISSN0165-1684
Volume206
AbstractA flexible transform-based tensor product named ★-product for Lth-order (L≥3) quaternion tensors is proposed. Based on the ★-product, we define the corresponding singular value decomposition named TQt-SVD and the rank named TQt-rank of the Lth-order (L≥3) quaternion tensor. Furthermore, with orthogonal quaternion transformations, the TQt-SVD can provide the best TQt-rank-s approximation of any Lth-order (L≥3) quaternion tensor. On the other side, since a color pixel with RGB channels can be well encoded as a pure quaternion, the proposed TQt-SVD, therefore, becomes a new mathematical tool for many color image processing tasks. In the experiments, we have verified the effectiveness of the proposed TQt-SVD in the application of the best TQt-rank-s approximation for color videos represented by third-order quaternion tensors.
KeywordColor Image Color Video Low-rank Approximation Quaternion Tensor Singular Value Decomposition
DOI10.1016/j.sigpro.2022.108910
URLView the original
Indexed BySCIE
Language英語English
Scopus ID2-s2.0-85145202690
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Document TypeJournal article
CollectionDEPARTMENT OF MATHEMATICS
Corresponding AuthorKou, Kit Ian
Affiliation1.School of Mathematics and Statistics, Yunnan University, Kunming, Yunnan, 650091, China
2.Department of Mathematics, Faculty of Science and Technology, University of Macau, Macau 999078, China
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Miao, Jifei,Kou, Kit Ian. Quaternion tensor singular value decomposition using a flexible transform-based approach[J]. Signal Processing, 2023, 206.
APA Miao, Jifei., & Kou, Kit Ian (2023). Quaternion tensor singular value decomposition using a flexible transform-based approach. Signal Processing, 206.
MLA Miao, Jifei,et al."Quaternion tensor singular value decomposition using a flexible transform-based approach".Signal Processing 206(2023).
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