Color image restoration based on reduced biquaternion matrix singular value decomposition

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-05-01 Epub Date: 2024-12-09 DOI:10.1016/j.cam.2024.116428
Xiao-Min Cai , Yi-Fen Ke , Lin-Jie Chen
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Abstract

In this paper, the singular value decomposition of reduced biquaternion matrix is studied and its expression is obtained based on the complex representation of reduced biquaternion matrix. In addition, the expression of the minimal norm least squares solution for the reduced biquaternion matrix equation is derived by the generalized inverse. The proposed algorithms are very simple and convenient, because they only involve operations on the field of complex numbers. Finally, in order to prove the authenticity of our algorithms, some numerical examples are presented including color image restoration and comparison with existing results.
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基于简化四元数矩阵奇异值分解的彩色图像恢复
本文研究了约简四元数矩阵的奇异值分解,并基于约简四元数矩阵的复表示得到了其奇异值分解的表达式。此外,利用广义逆导出了简化双四元数矩阵方程的最小范数最小二乘解的表达式。所提出的算法只涉及复数域的运算,因此非常简单方便。最后,为了证明算法的真实性,给出了一些数值例子,包括彩色图像的恢复以及与已有结果的比较。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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