基于小波变换的中波红外偏振图像融合  

Polarization image fusion based on wavelet transform

作　　者：张雨晨 李江勇[1] ZHANG Yu-chen;LI Jiang-yong(North China Research Institute of Electro-Optics,Beijing 100015,China)

机构地区：[1]华北光电技术研究所,北京100015

出　　处：《激光与红外》2020年第5期578-582,共5页Laser & Infrared

摘　　要：针对中波红外偏振图像的特征,给出了一种基于小波变换的融合新方法。根据中波红外偏振图像高低频图像特点选择不同的融合规则,针对低频图像采用偏振融合的方法来抑制背景信息,针对高频图像采用超分辨率重建算法来提升细节信息。实验结果显示,证融合后的红外图像比原始图像更加清晰,相较于仅偏振处理图像获得了更高的分辨率,相较于传统小波融合算法增加了偏振方面细节。Aiming at the characteristics of medium-wave infrared polarization image,a new fusion method based on wavelet transform is presented.According to the high-low frequency image characteristics of the mid-wave infrared polarization image,different fusion rules are selected.The experimental results show that both the subjective evaluation and the objective evaluation criteria of the image are better than Stokes algorithm and the method based on wavelet fusion.

关 键 词：小波融合 超分辨率重建 偏振 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]