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