基于频谱分析和图像融合的红外弱小目标增强  

Infrared Dim Target Enhancement Based on Spectral Analysis and Image Fusion

作　　者：王晓文[1] 赵宗贵[2] 庞秀梅[3] 陈彬[1] 汤磊 

机构地区：[1]解放军理工大学指挥信息系统学院,南京210007 [2]中国电子科技集团公司第28研究所,南京210007 [3]解放军理工大学理学院,南京210014 [4]陆军指挥学院作战实验中心,南京210045

出　　处：《中国电子科学研究院学报》2013年第3期258-265,共8页Journal of China Academy of Electronics and Information Technology

基　　金：总装十二五国防预先研究课题(513060402);军用973项目资助课题(613101)

摘　　要：利用红外弱小目标灰度的局部极大性在频域往往对应于频谱突变的特性,提出了一种基于频谱分析和图像融合的红外弱小目标增强算法。首先利用图像背景和目标具有不同频谱振幅的特点,提取红外图像的残留频谱,得到潜在目标显著图;然后利用序列图像的冗余信息,在空间域对目标和背景区域分别采用不同融合规则进行多帧融合。实验表明,该方法能够有效增强红外弱小目标的像素数和总能量,且实时性较好。With the knowledge that the locally maximum of the dim target gray value usually shows a sudden change of the spectrum in frequency domain,a two-stage infrared dim target enhancement approach based on spectral analysis and image fusion is proposed.The algorithm extractes the spectral residual according to the spectral difference between the dim target and the image background,constructed the saliency map of the potential targets,and applies different fusion rules to potential targets and background respectively with the information redundancy of continuous frames to obtain the fused image.Experimental results showe that the method can enhance the size and the total energy of the infrared dim target effectively and efficiently.

关 键 词：红外弱小目标 频谱分析 图像融合 目标增强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]