Least-squares solutions of the reduced biquaternion matrix equation AX=B and their applications in colour image restoration

被引:25
|
作者
Kosal, Hidayet Huda [1 ]
机构
[1] Sakarya Univ, Fac Arts & Sci, Dept Math, TR-54187 Sakarya, Turkey
关键词
Reduced biquaternion; least-squares solution; complex representation; image restoration;
D O I
10.1080/09500340.2019.1676474
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this study, we derive the expressions of the minimal norm least-squares solution for the reduced biquaternion (RB) matrix equation AX=B by using the form of RB matrices, and the Moore?Penrose generalized inverse. Moreover, we investigate their applications in colour image restoration. Therefore, many useful image restoration methods can be extended to reduced biquaternion algebra without separating the colour image into three channels. To prove the authenticity of our results and to distinguish them from existing ones, some illustrative examples are also given.
引用
收藏
页码:1802 / 1810
页数:9
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