Target-independent dynamic wavefront sensing method based on distorted grating and deep learning  

作　　者：葛欣兰 朱里程 高泽宇 王宁 赵旺 叶红卫 王帅 杨平 Xinlan Ge;Licheng Zhu;Zeyu Gao;Ning Wang;Wang Zhao;Hongwei Ye;Shuai Wang;Ping Yang(Key Laboratory on Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China;Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]Key Laboratory on Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China [2]Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China [3]School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Chinese Optics Letters》2023年第6期1-5,共5页中国光学快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.62105336);Sichuan Science and Technology Program(No.2022JDRC0095)。

摘　　要：A real-time wavefront sensing method for arbitrary targets is proposed,which provides an effective way for diversified wavefront sensing application scenarios.By using a distorted grating,the positive and negative defocus images are simultaneously acquired on a single detector.A fine feature,which is independent of the target itself but corresponding to the wavefront aberration,is defined.A lightweight and efficient network combined with an attention mechanism[AM-EffNet]is proposed to establish an accurate mapping between the features and the incident wavefronts.Comparison results show that the proposed method has superior performance compared to other methods and can achieve high-accuracy wavefront sensing in varied target scenes only by using the point target dataset to train the network well.

关 键 词：wavefront sensing distorted grating fine feature 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术] TP212