王俊喃 1,2陈佳萌 2,3何琪慧 2,3杨磊 1,2[ ... ]施卫 2,3
作者单位
摘要
1 西安理工大学 电气工程学院, 陕西 西安 710048
2 西安理工大学 陕西省超快光电技术与太赫兹科学重点实验室, 陕西 西安 710048
3 西安理工大学 应用物理系, 陕西 西安 710048
里德堡(Rydberg)原子具有极大的极化率和电偶极矩, 并对外电场十分敏感, 因此可利用 Rydberg原子的量子干涉效应实现微波和太赫兹场的高精确度、自校准测量, 基于 Rydberg原子对太赫兹波频率上转换效应可实现太赫兹波段的实时成像。本文回顾了利用 Rydberg原子的电磁诱导透明效应和 Autler-Townes分裂现象实现对微波和太赫兹场的高精确度探测的研究进展, 以及 Rydberg原子在快速太赫兹成像方面的研究。
Rydberg原子 电磁诱导透明 太赫兹波 微波 太赫兹成像 Rydberg atom Electromagnetically Induced Ttransparency(EIT) THz wave microwave THz imaging 
太赫兹科学与电子信息学报
2023, 21(2): 125
Author Affiliations
Abstract
1 College of Computer Science and Engineering, Changchun University of Technology, Changchun, 130012, China
2 School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, 130117, China
In this paper, we propose a point spread function (PSF) reconstruction method and joint maximum a posteriori (JMAP) estimation method for the adaptive optics image restoration. Using the JMAP method as the basic principle, we establish the joint log likelihood function of multi-frame adaptive optics (AO) images based on the image Gaussian noise models. To begin with, combining the observed conditions and AO system characteristics, a predicted PSF model for the wavefront phase effect is developed; then, we build up iterative solution formulas of the AO image based on our proposed algorithm, addressing the implementation process of multi-frame AO images joint deconvolution method. We conduct a series of experiments on simulated and real degraded AO images to evaluate our proposed algorithm. Compared with the Wiener iterative blind deconvolution (Wiener-IBD) algorithm and Richardson-Lucy IBD algorithm, our algorithm has better restoration effects including higher peak signal-to-noise ratio (PSNR) and Laplacian sum (LS) value than the others. The research results have a certain application values for actual AO image restoration.
Image restoration adaptive optics (AO) point spread function (PSF) joint maximum a posteriori (JMAP) blind deconvolution 
Photonic Sensors
2018, 8(1): 22

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