QMGI algorithm for solving quaternion equation and its application in color image encryption

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED Numerical Algorithms Pub Date : 2024-08-29 DOI:10.1007/s11075-024-01920-x
Xinying Li, Caiqin Song, Hongjun Liu
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Abstract

In this present work, in order to solve the numerical solution of quaternion matrix equation \(EY=F\), the quaternion modified gradient-based algorithm (QMGI) is proposed by applying the real presentation of quaternion matrix. The proposed method can be applied to solve the quaternion solution, pure imaginary solution, and real solution of the studied equation \(EY=F\). If the studied equation is consistent, it is proved that the proposed algorithm converges to the exact solution for given any initial quaternion matrix under appropriate conditions. If the studied equation is not consistent, it is found that the QMGI algorithm converges to the least squares solution. And some numerical examples are examined to confirm the feasibility and efficiency of the proposed algorithms, which all indicate that the proposed QMGI algorithm is much more effective than QGI algorithm and QRGI algorithm in computational time and accuracy. Moreover, QMGl algorithm is applied to color image encryption and evaluated the encryption effectiveness from four aspects. All metrics are close to the ideal values. lt is demonstrated that the effectiveness of the encryption scheme and the accuracy of the obtained theory results in this paper.

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求解四元数方程的 QMGI 算法及其在彩色图像加密中的应用
在本研究中,为了求解四元矩阵方程(EY=F\ )的数值解,通过应用四元矩阵的实数表示,提出了基于梯度的四元修正算法(QMGI)。所提出的方法可用于求解所研究方程 \(EY=F\) 的四元数解、纯虚解和实数解。如果所研究的方程是一致的,那么在适当的条件下,对于给定的任意初始四元数矩阵,所提出的算法都能收敛到精确解。如果所研究的方程不一致,则会发现 QMGI 算法会收敛到最小二乘法解。为了证实所提算法的可行性和高效性,还通过一些数值实例进行了检验,结果表明所提 QMGI 算法在计算时间和计算精度上都远远优于 QGI 算法和 QRGI 算法。此外,还将 QMGl 算法应用于彩色图像加密,并从四个方面评估了加密效果。所有指标均接近理想值,证明了本文加密方案的有效性和理论结果的准确性。
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来源期刊
Numerical Algorithms
Numerical Algorithms 数学-应用数学
CiteScore
4.00
自引率
9.50%
发文量
201
审稿时长
9 months
期刊介绍: The journal Numerical Algorithms is devoted to numerical algorithms. It publishes original and review papers on all the aspects of numerical algorithms: new algorithms, theoretical results, implementation, numerical stability, complexity, parallel computing, subroutines, and applications. Papers on computer algebra related to obtaining numerical results will also be considered. It is intended to publish only high quality papers containing material not published elsewhere.
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