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Research Article | Open Access

A new method based on semi-tensor product of matrices for solving reduced biquaternion matrix equation p = 1 l A p X B p = C and its application in color image restoration

Jianhua Sun1,2Ying Li1,2( )Mingcui Zhang1,2Zhihong Liu1,2Anli Wei1,2
College of Mathematical Sciences, Liaocheng University, Liaocheng, 252000, China
Research Center of Semi-tensor Product of Matrices: Theory and Applications, Liaocheng, 252000, China
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Abstract

In this paper, semi-tensor product of real matrices is extended to reduced biquaternion matrices, and then some new conclusions of the reduced biquaternion matrices under the vector operator are proposed using semi-tensor product of reduced biquaternion matrices, so that the reduced biquaternion matrix equation p = 1 l A p X B p = C can be transformed into a reduced biquaternion linear equations, then the expression of the least squares solution of the equation is obtained using the L C -representation and Moore-Penrose inverse. The necessary and sufficient conditions for the compatibility and the expression of general solutions of the equation are obtained, and the minimal norm solutions are also given. Finally, our proposed method of solving the reduced biquaternion matrix equation is applied to color image restoration.

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Mathematical Modelling and Control
Pages 218-232

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Cite this article:
Sun J, Li Y, Zhang M, et al. A new method based on semi-tensor product of matrices for solving reduced biquaternion matrix equation p = 1 l A p X B p = C and its application in color image restoration. Mathematical Modelling and Control, 2023, 3(3): 218-232. https://doi.org/10.3934/mmc.2023019

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Received: 30 August 2022
Revised: 13 February 2023
Accepted: 13 March 2023
Published: 15 September 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)