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http://dx.doi.org/10.14352/jkaie.2015.19.1.139

A Study of Fusion Image System and Simulation based on Mutual Information  

Kim, Yonggil (Dept. of Computer Security, Chosun College of Science & Technology)
Kim, Chul (Dept. of Computer Education, Gwangju National Univ. of Education)
Moon, Kyungil (Dept. of Computer Engineering, Honam Univ.)
Publication Information
Journal of The Korean Association of Information Education / v.19, no.1, 2015 , pp. 139-148 More about this Journal
Abstract
The purpose of image fusion is to combine the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images. Image fusion techniques can improve the quality and increase the application of these data important applications of the fusion of images include medical imaging, remote sensing, and robotics. In this paper, we suggest a new method to generate a fusion image using the close relation of image features obtained through maximum entropy threshold and mutual information. This method represents a good image registration in case of using a blurring image than other image fusion methods.
Keywords
Fusion Image; Maximum Entropy; Mutual Information; Image Information Education; Blurring Image;
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