多尺度图像增强可见光与红外图像融合  

Fusion of visible and infrared images based on multi-scale image enhancement

作　　者：孙明超[1,2] 张崇[3] 刘晶红[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,长春130033 [2]中国科学院研究生院,北京100039 [3]总装备部沈阳军事代表局驻长春地区军事代表室,长春130033

出　　处：《吉林大学学报（工学版）》2012年第3期738-742,共5页Journal of Jilin University:Engineering and Technology Edition

基　　金：“973”国家重点基础研究发展计划项目(2009CB72400105)

摘　　要：针对同一场景在可见光和红外传感器得到的图像其高频细节部分存在着较大差异这一特点,首先对已经配准的红外传感器和可见光得到的图像进行小波变换,在多尺度下对两幅图像进行边缘提取。然后以局部模方为活性测度,局部模方的比值为匹配测度,并且利用图像的边缘特征指导融合策略,经过合成模块和多尺度逆变换得到融合图像。最后对融合后的图像进行图像增强,并对其进行客观评价,证明了本文方法的有效性。Images of the same scene,respectively obtained from visible and infrared sensors,are different in the high-frequency details.Based on this character,first,wavelet transform is imposed on the infrared image and visible light image that are in register,and the edges of the two images are extracted under multi-scale.Second,local module square and its ratio are respectively considered as the activity measure and match measure,and the image edge feature is considered as fusion strategy.The fusion image is obtained through synthesis module and multi-scale inverse transform.Finally,the fusion image is enhanced and assessed.Under the wavelet domain,image edge extraction,image enhancement and image fusion are combined.Experimental results show that high quality visible and infrared images are obtained under the objective evaluation criteria in the absence of standard reference image.

关 键 词：信息处理技术 多尺度变换 图像融合 边缘检测 图像增强 

分 类 号：TN911.73[电子电信—通信与信息系统]