期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2011
卷号：2
期号：2
页码：322-326
出版社：Technopark Publications
摘要：Image fusion is the process of combining images taken from different sources to obtain better situational awareness. In fusing source images the objective is to combine the most relevant information from source images into composite image. Genetic algorithm is used for solving optimization problems. Genetic algorithm can be employed to image fusion where some kind of parameter optimization is required. In this paper we proposed genetic algorithm based schemes for image fusion and proved that these schemes perform better than the conventional methods through comparison of parameters namely image quality index, mutual information, root mean square error and peak signal to noise ratio
关键词：Genetic Algorithm; Image quality Index; Mutual Information
