微偏振片阵列红外成像非均匀性产生机理及其校正  

Mechanism and calibration of non-uniformity for IR polarization imagery obtained with integrated micro-polarizer array

作　　者：刘海峥[1,2,3] 史泽林 冯斌[1,2] LIU Hai-zheng;SHI Ze-lin;FENG Bin(Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;Key Laboratory of Optical-Electronics Information Processing,CAS,Shenyang 110016,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院沈阳自动化研究所,辽宁沈阳110016 [2]中国科学院光电信息处理重点实验室,辽宁沈阳110016 [3]中国科学院大学,北京100049

出　　处：《光学精密工程》2018年第2期480-491,共12页Optics and Precision Engineering

基　　金：中国科学院创新基金(No.CXJJ-16S027)

摘　　要：集成微偏振片阵列红外成像系统的偏振度图像对非均匀性高度敏感,不经非均匀校正的偏振度图像存在较大误差。为了校正微偏振片阵列红外成像的非均匀性,以入射光Stokes矢量形式,建立了光电转换基本过程的偏振像素模型,基于入射激励和辐射响应数据,分析了微偏振阵列与红外焦面联合作用下非均匀性产生机理。提出一种基于多次辐射测量的矩阵形式的非均匀性校正方法,该方法通过构造多组测量方程,求解偏振像元的增益矢量,由相邻四像元增益矢量组成超级像元的增益矩阵,结合Stokes矢量提取矩阵,逆向求解重构点的校正矩阵。实验数据表明:该方法比两点法降低非均匀性约5%~20%,有效改善红外偏振度图像质量。For an infrared imaging system integrated with a micro-polarizer array(MPA),DoLP(degree of linear polarization)images are extremely sensitive to non-uniformity.Therefore,large error will occur when the non-uniformity is not calibrated.In order to calibrate the non-uniformity,a polarized-pixel model for optoelectronic conversion process was constructed by taking the incident light as a Stokes vector,and the non-uniformity generation mechanism under the combined effect of a micro-polarizer array(MPA)and an infrared FPA was analyzed based on incident stimulation and radiation response data.A non-uniformity calibration(NUC)method was presented to solve the gain vectors of each polarized pixel by constructing multiple groups of measurement equations.The method constructed a gain matrix of a super pixel by using gain vectors from neighboring polarized pixels and joint Stokes extraction matrix to solve the NUC matrix inversely.The experimental results prove that the calibration method proposed reduces non-uniformity by 5-20%,and improves the quality of DoLP images effectively.

关 键 词：红外偏振成像 微偏振片阵列 非均匀性校正 

分 类 号：TP394.1[自动化与计算机技术—计算机应用技术] TH691.9[自动化与计算机技术—计算机科学与技术]