Generalized Singular Value Decompositions for Tensors and Their Applications

Zhuo Heng He*, Michael K. Ng, Chao Zeng

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

15 Citations (Scopus)

Abstract

In this paper, we consider the generalized singular value decompositions for two tensors via the T-product. We investigate and discuss in detail the structures of the quotient singular value decomposition (T-QSVD) and product singular value decomposition (T-PSVD) for two tensors. The algorithms are presented with numerical examples illustrating the results. For applications, we consider color image watermarking processing with T-QSVD and T-PSVD. There are two advantages to T-QSVD and T-PSVD approaches on color watermark processing: two color watermarks can be processed simultaneously and only one key needs to be saved.

Original languageEnglish
Pages (from-to)692-713
Number of pages22
JournalNumerical Mathematics
Volume14
Issue number3
DOIs
Publication statusPublished - Jun 2021

Scopus Subject Areas

  • Modelling and Simulation
  • Control and Optimization
  • Computational Mathematics
  • Applied Mathematics

User-Defined Keywords

  • Multilinear algebra
  • Singular value decomposition
  • Tensor SVD

Cite this