压缩超快成像系统空间分辨特性  

Spatial Resolution of Compressed Ultrafast Photography System

作　　者：向利娟 姚方鼎 叶增 刘进元[1] 蔡厚智[1] XIANG Lijuan;YAO Fangding;YE Zeng;LIU Jinyuan;CAI Houzhi(Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education,Shenzhen Key Laboratory of Photonics and Biophotonics,College of Physics and Optoelectronic Engineering,Shenzhen University and Guangdong Province,Shenzhen 518060,China)

机构地区：[1]深圳大学物理与光电工程学院光电子器件与系统教育部/广东省重点实验室深圳市光子学与生物光子学重点实验室,深圳518060

出　　处：《光子学报》2024年第12期115-125,共11页Acta Photonica Sinica

基　　金：国家自然科学基金(No.62001301);广东省基础与应用基础研究基金(No.2024A1515011832);深圳市科技计划项目(Nos.JCYJ20230808105019039,JCYJ20220814133504001,JCYJ20210324095007020);深圳市光子学与生物光子学重点实验室(No.ZDSYS20210623092006020);深圳大学2035追求卓越研究计划项目(No.2023C007);深圳大学高层次人才引育项目(No.000001032080)。

摘　　要：根据压缩超快成像的工作原理,建立了基于条纹相机的压缩超快成像系统模型,并基于MATLAB对其空间分辨特性进行了模拟仿真。通过模拟实验测量了系统的空间分辨率,模拟结果表明重建图像可获得10 lp/mm的动态空间分辨率。通过用多种数据进行模拟成像,研究了不同帧数下编码采样率与成像质量的关系:在高帧数的条件下,较低的编码采样率获得的成像质量更优。对重建图像的平均峰值信噪比最大值的分布进行拟合分析,获得了不同帧数下成像质量的最佳编码采样率曲线。使用曲线给定的编码采样率能明显提高成像质量。Ultrafast optical imaging technology can acquire image signals of ultrafast scenes in the picosecond or even femtosecond scale.As one of the major devices for ultrafast imaging,streak camera with picosecond-scale time resolution and one-dimensional spatial resolution is commonly used for ultrafast diagnosis of Inertial Confinement Fusion(ICF).Combining streak camera with compressed sensing theory,compressed ultrafast photography has been proposed,which is capable of two-dimensional imaging of ultrafast dynamic scenes at 100 billion frames per second.It can achieve up to hundreds of frames per acquisition without specialized modulated illumination,which has a performance far beyond traditional imaging technologies.The main components of compressed ultrafast photography system include streak camera,Digital Micromirror Device(DMD),and optical path system.The DMD is employed to encode the two-dimensional image signal,whereafter the encoded signal passes through the photocathode,scanning electric field and fluorescent screen of the streak camera successively,and finally arrives at the CCD.Deflected by the scanning electric field in the perpendicular direction,the encoded images of different moments shift and overlap on the fluorescent screen,forming the sampled signal captured by the CCD.Utilizing the reconstruction algorithm,frames of two-dimensional image signals can be reconstructed from the sampled signal.In this paper,a Generalized Alternating Projection(GAP)algorithm based on the PnP framework is used to reconstruct the original images.Based on the image prior of gradient sparsity,the Total Variation(TV)denoise operator is combined with the GAP algorithm for image denoising and meanwhile remaining image detail.The algorithm decomposes the solving operation of the reconstructed images into two sub-processes of alternating projection,and continuously approaches the solution that satisfies all the constraints in the alternating iteration operation.In order to analyze the spatial resolution and imaging quality of th

关 键 词：超快诊断 压缩超快成像 压缩感知 空间分辨率 条纹相机 

分 类 号：TB972[一般工业技术—计量学] TN143[机械工程—测试计量技术及仪器]