红外成像系统微扫描成像重建算法研究  

Microscanning Reconstruction Algorithm for IR Imaging System

作　　者：王学伟[1] 李珂[1] 王世立[1] 

机构地区：[1]海军航空工程学院,山东烟台264001

出　　处：《光电工程》2012年第12期122-126,共5页Opto-Electronic Engineering

基　　金：国家教育部新世纪优秀人才支持计划项目(NCET-08-0937)

摘　　要：微扫描成像技术作为一种有效减少图像频谱混叠、提高系统空间分辨率的有效方法,被广泛应用到红外焦平面成像系统中。在介绍红外成像系统微扫描成像技术的基础上,以22模式可控微扫描为例,分析了其成像过程和直接重建算法,提出了一种基于像素相关度的加权插值重建算法,并利用微扫描低分辨图像对插值图像进行了修正。实验仿真中新算法得到的图像RPSNR较直接重建算法提高了1.82dB,eMSE降低了34%,表明该算法可以有效提高微扫描成像效果。Microscanning is an effective method for reducing spectrum aliasing and raising spatial resolution. It is widely used in IRFPA imaging system. Based on introducing microscanning imaging technique, the imaging process and the direct reconstructed algorithm of 2×2 microscanning are analyzed. A weighted interpolated reconstruction algorithm based on pixel-correlation is proposed and the interpolated image is corrected with microscanning low-resolution images. Experiments indicate that RPSNR of new algorithm reconstructed image is 1.82 dB higher than the direct reconstructed image and eMSE is 34% lower, so it can effectively improve the microscanning imaging effects.

关 键 词：红外成像系统 微扫描 像素相关度 

分 类 号：TN21[电子电信—物理电子学]