Singular value decompositions of third-order reduced biquaternion tensors
Numerical Analysis
2024-11-21 v2 Numerical Analysis
Abstract
In this paper, we introduce the applications of third-order reduced biquaternion tensors in color video processing. We first develop algorithms for computing the singular value decomposition (SVD) of a third-order reduced biquaternion tensor via a new Ht-product. As theoretical applications, we define the Moore-Penrose inverse of a third-order reduced biquaternion tensor and develop its characterizations. In addition, we discuss the general (or Hermitian) solutions to reduced biquaternion tensor equation as well as its least-square solution. Finally, we compress the color video by this SVD, and the experimental data shows that our method is faster than the compared scheme.
Keywords
Cite
@article{arxiv.2403.01690,
title = {Singular value decompositions of third-order reduced biquaternion tensors},
author = {Cui-E Yu and Xin Liu and Yang Zhang},
journal= {arXiv preprint arXiv:2403.01690},
year = {2024}
}