摘要
分焦平面偏振探测系统受其探测器结构的影响,成像分辨率低于探测器实际分辨率,本文在不改变光学系统结构下使用微扫描获取亚像元微位移帧序列,提出一种改进的凸集投影(Projection On Convex Sets,POCS)算法用于提升偏振成像系统的成像分辨率。该算法首先对获取到的偏振微扫描图像序列进行检偏角分离,将同组检偏角图像序列作为输入,其次进行位移匹配与凸集投影迭代初步重建高分辨率图像,然后将图像分组进行滑动窗口非邻域聚类,利用主成分分析将聚类后的图像进行降维,最后将每一维信息视为时间采样函数,在小波域进行软阈值降噪。实验表明,本算法可以有效的提高传统POCS算法的抗噪性能,提高分焦平面偏振探测系统的成像分辨率,和同类算法相比结构相似性系数提升0.02,峰值信噪比提升约1 dB,并且拥有更高的噪声鲁棒性。
The imaging resolution of a polarization detection system in the focal plane is lower than the ac⁃tual resolution of the detector owing to the influence of the detector structure.In this study,micro-scan⁃ning is used to obtain the micro-displacement frame sequence without changing the optical system struc⁃ture,and an improved convex set projection(POCS)algorithm is proposed to improve the imaging resolu⁃tion of the polarization imaging system.In the algorithm,the obtained polarization microscan image se⁃quences were first separated through angle detection,and the same group of angle detection image se⁃quences were used as the input.Second,displacement matching and convex set projection iteration were conducted to initially reconstruct high-resolution images.Thereafter,the images were grouped into sliding window non-neighborhood clustering,and the dimensionality of the clustered images was reduced through principal component analysis.Finally,each one-dimensional information was regarded as a time sampling function,and soft threshold denoising was conducted in the wavelet domain.Experiments demonstrate that this algorithm can effectively improve the anti-noise performance of the conventional POCS algo⁃rithm,improve the imaging resolution of the high-resolution focal plane polarization detection system,in⁃crease the structural similarity coefficient by 0.02,increase the peak signal-to-noise ratio by 1 dB com⁃pared with similar algorithms,and achieve higher noise robustness.
作者
马一哲
王世勇
雷腾
李博翰
李范鸣
MA Yizhe;WANG Shiyong;LEI Teng;LI Bohan;LI Fanming(Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China;University of Chinese Academy of Sciences,Beijing 100049,China;Laboratory of Infrared Detection and Imaging Technology,Chinese Academy of Sciences,Shanghai 20083,China)
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2023年第16期2418-2429,共12页
Optics and Precision Engineering
基金
国家十四五预研基金资助项目(No.514010405)。
关键词
偏振
图像超分辨率重建
凸集投影
微扫描
polarization
super-resolution image reconstruction
POCS
micro-scanning
