A Simultaneous Decomposition for a Quaternion Tensor Quaternity with Applications

Quaternion tensor decompositions have recently been the center of focus due to their wide potential applications in color data processing. In this paper, we establish a simultaneous decomposition for a quaternion tensor quaternity under Einstein product. The decomposition brings the quaternity of four quaternion tensors into a canonical form, which only has 0 and 1 entries. The structure of the canonical form is discussed in detail. Moreover, the proposed decomposition is applied to a new framework of color video encryption and decryption based on discrete wavelet transform. This new approach can realize simultaneous encryption and compression with high security.

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Publication Details

Journal
Mathematics
Published
2025-05-20
DOI
https://doi.org/10.3390/math13101679
Citations
1
Primary Topic
Tensor decomposition and applications
Type
article
Field-Weighted Citation Impact
1.53
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article

A Simultaneous Decomposition for a Quaternion Tensor Quaternity with Applications

Yonggang Xu, Zhuo-Heng He, Jia-Wei Huo
1 citations
Mathematics
Tensor decomposition and applications
1.53
article

A Simultaneous Decomposition for a Quaternion Tensor Quaternity with Applications

Yonggang Xu, Zhuo-Heng He, Jia-Wei Huo
article en
1 citations

Abstract

Quaternion tensor decompositions have recently been the center of focus due to their wide potential applications in color data processing. In this paper, we establish a simultaneous decomposition for a quaternion tensor quaternity under Einstein product. The decomposition brings the quaternity of four quaternion tensors into a canonical form, which only has 0 and 1 entries. The structure of the canonical form is discussed in detail. Moreover, the proposed decomposition is applied to a new framework of color video encryption and decryption based on discrete wavelet transform. This new approach can realize simultaneous encryption and compression with high security.

MathematicsVol. 13(10)
Shanghai University (CN)
Openalex Percentile: Top 20%
Tensor decomposition and applications
1.53
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