光电工程, 2012, 39 (12): 122, 网络出版: 2012-12-14
红外成像系统微扫描成像重建算法研究
Microscanning Reconstruction Algorithm for IR Imaging System
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 2×2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 1.82 dB,eMSE降低了 34%,表明该算法可以有效提高微扫描成像效果。
Abstract
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.
王学伟, 李珂, 王世立. 红外成像系统微扫描成像重建算法研究[J]. 光电工程, 2012, 39(12): 122. WANG Xue-wei, LI Ke, WANG Shi-li. Microscanning Reconstruction Algorithm for IR Imaging System[J]. Opto-Electronic Engineering, 2012, 39(12): 122.