一种新的红外与可见光图像融合评价方法

doi:10.3969/j.issn.1001-506X.2012.05.03

Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (5): 871-875.doi: 10.3969/j.issn.1001-506X.2012.05.03

一种新的红外与可见光图像融合评价方法

王晓文1，赵宗贵2，汤磊3

1. 中国人民解放军理工大学指挥自动化学院，江苏南京 210007；
2. 中国电子科技集团公司第28研究所，江苏南京 210007；
3. 陆军指挥学院作战实验中心，江苏南京 210045

出版日期:2012-05-23 发布日期:2010-01-03

Novel quality metric for infrared and visible image fusion

WANG Xiao-wen1, ZHAO Zong-gui2, TANG Lei3

1. Institute of Command and Automation, PLA University of Science and Technology, Nanjing 210007, China；
2. The 28th Institute, China Electronics Technology Group Corporation, Nanjing 210007, China；
3. Operation Research Center, Nanjing Army Command College, Nanjing 210045, China

Online:2012-05-23 Published:2010-01-03

摘要/Abstract

摘要：

在对源图像进行区域划分与关联的基础上，结合红外与可见光图像的成像特点和图像融合任务需求，定义了两个图像区域特征，基于该特征和融合图像与源图像的信息熵及互信息（mutual information, MI），构造了融合图像区域相似度评价指标，提出了一种新的无参红外与可见光融合图像质量评价方法。实验表明，本文所建立的融合图像质量评价指标，比目前常用的几种评价指标更接近人的视觉观感。

Abstract:

Based on the region partition and association of source images, two regional features of source images are defined according to the imaging characteristics of infrared and visible images and the requirements of fusion tasks. A regional similarity assessment index with the regional features and the information entropy and mutual information of fused images and source images is constructed. A novel nonreference quality evaluation metric for infrared and visible image fusion is proposed. Experimental results show that this metric fits the results of human visual inspection better than the recent state of the art image fusion evaluation metrics.

王晓文，赵宗贵，汤磊. 一种新的红外与可见光图像融合评价方法[J]. Journal of Systems Engineering and Electronics, 2012, 34(5): 871-875.

WANG Xiaowen, ZHAO Zonggui, TANG Lei. Novel quality metric for infrared and visible image fusion[J]. Journal of Systems Engineering and Electronics, 2012, 34(5): 871-875.

一种新的红外与可见光图像融合评价方法

Novel quality metric for infrared and visible image fusion

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