Research of multi-focus image fusion algorithm based on sparse representation and orthogonal matching pursuit

被引：0

作者：

Li, Xuejun ^{[1
,2
]}

Wang, Minghui ^{[1
]}

机构：

[1] Sichuan University, College of Computer Science, Chengdu

[2] Southwest University of Science and Technology, Mianyang

来源：

Communications in Computer and Information Science | 2014年 / 437卷

关键词：

Multi-focus image fusion; Orthogonal matching pursuit and performance evaluation; Sparse representation;

D O I：

10.1007/978-3-662-45498-5_7

中图分类号：

学科分类号：

摘要：

Due to the unideal effects of those common multi-source focus image fusion algorithms, in this essay we propose a multi-focus image fusion algorithm based on sparse representation and orthogonal matching pursuit (OMP), and demonstrate the results of the corresponding multi-source focus image fusion experiments by MATLAB. Compared with the fused images of the above several common algorithms by evaluating subjectively and objectively, the results suggest that the multi-focus image fusion algorithm based on sparse representation and orthogonal matching pursuit (OMP) present higher mutual information, minimum distorted values and higher Qab/f values which indicate that the fused image by this algorithm can obtain more image information with a smaller distortion from the original (image?), so as to get a better image but cost much more time. © Springer-Verlag Berlin Heidelberg 2014.

引用

页码：57 / 66

页数：9

共 26 条

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