基于谱分析的红外成像模糊去除算法研究  

Research on infrared imaging deblurring algorithm based on spectrum analysis

作　　者：徐祖新 王霄[1,2,3,4] 李鹏[1,2,3,4] 乔俊 XU Zuxin;WANG Xiao;LI Peng;QIAO Jun(Key Laboratory of Opto-Electronic Information Processing,Chinese Academy of Sciences,Shenyang 110016,China;Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;University of Chinese Academy of Sciences,Beijing 100049,China;Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China)

机构地区：[1]中国科学院光电信息处理重点实验室,辽宁沈阳110016 [2]中国科学院沈阳自动化研究所,辽宁沈阳110016 [3]中国科学院大学,北京100049 [4]中国科学院机器人与智能制造创新研究院,辽宁沈阳110169

出　　处：《应用光学》2024年第4期751-758,共8页Journal of Applied Optics

基　　金：中科院重点实验室基金(红外高灵敏探测器电子学创新设计,E2290403G1)。

摘　　要：针对红外成像中出现的像差和运动模糊问题,提出了一种基于谱分析的红外成像模糊去除算法。该方法通过对模糊问题的分析,利用红外图像频谱信息构建了模糊函数估计方法,通过数据拟合项和正则项的优化,实现红外图像的模糊去除。实验在运动模糊图像数据集和静态像差图像上进行测试,结果表明:在数据集模糊去除实验上,相比之前的方法,本文方法峰值信噪比(PSNR,peak signal-to-noise ratio)提升了2.01 dB,结果相似性(SSIM,structural similarity index)提升了0.06;静态像差图像在实验室条件下通过短波红外探测器采集,算法在主观上有较明显的复原效果,且针对高通量光学系统成像复原效果更为显著。To solve the problems of aberrations and motion blur encountered in infrared imaging,an algorithm for infrared imaging deblurring based on spectrum analysis was proposed.By analyzing the blur problems,a blur function estimation approach was constructed by using the spectral information of infrared images,and the deblurring of infrared images was achieved by optimizing the data fitting terms and regularization terms.The experiments were conducted on datasets containing motion-blurred images and static aberration images.The results show that in the experiments of datasets deblurring,in comparison to previous methods,the peak signal-to-noise ratio(PSNR)of proposed algorithm is improved by 2.01 dB,and the structural similarity index(SSIM)is improved by 0.06.The static aberration images are acquired using a short-wave infrared detector under laboratory conditions,and the restored images show the significant improvement subjectively,particularly in high-throughput optical system imaging scenarios.

关 键 词：图像复原 像差校正 红外图像 相对孔径 点扩散函数 

分 类 号：TN211[电子电信—物理电子学] TP391.4[自动化与计算机技术—计算机应用技术]