针对人类视觉系统的双波段红外图像融合算法研究  

Study of Dual-band Infrared Image Fusion Algorithm for Human Visual Systems

作　　者：陈皓[1,2,3] 王晨[1,2,3] 蔡能斌 高思莉[2,3] 

机构地区：[1]中国科学院大学,北京100049 [2]中国科学院上海技术物理研究所,上海200083 [3]上海市现场物证重点实验室,上海200042

出　　处：《红外》2014年第6期26-29,共4页Infrared

基　　金：上海市现场物证重点实验室基金资助项目(2011xcwzk04);国家十二五国防预研项目资助(41101050501)

摘　　要：提出了一种针对人类视觉系统的双波段红外图像融合算法。首先采用非下采样Contourlet变换把源图像分解成尺多度、多方向上的子带,然后采用绝对值最大算子的方法对高频部分进行融合,采用基于区域方差的方法对低频部分进行融合,最后进行重构得到融合图像。对试验中采集的双波段红外图像进行了融合实验,并将融合效果与梯度金字塔变换方法和小波变换方法进行了比较。实验结果表明,针对人类视觉系统的双波段红外图像融合算法有效可行,可以获得比常用的算法更好的融合效果。A dual-band infrared image fusion algorithm for human visual systems is put forward. First, the source images are decomposed into the multi-scale and multidirectional subbands by using a nonsubsampled contourlet transform method. Then, the highpass subband is fused by selecting the maximum absolute operator and the lowpass subbands is fused by using a method based on region variance. Finally, the fused image is obtained through image reconfiguration. A fusion experiment is made on the dual-band infrared images collected. The method is compared with the gradient pyramid transform and the wavelet transform in fusion effectiveness. The experimental result shows that this dual-band infrared image fusion algorithm for human visual systems is effective and feasible. It can obtain better fusion effectiveness than the common algorithms.

关 键 词：图像融合 HVS NSCT变换 双波段 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]