Generalized Singular Value Decompositions for Tensors and Their Applications
DOI:
https://doi.org/10.4208/nmtma.OA-2020-0132Keywords:
Multilinear algebra, singular value decomposition, tensor SVD.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.
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Published
2021-06-02
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