Sub-millisecond phase retrieval for phase-diversity wavefront sensor
Wu, Yu1,2,3; Guo, Youming2,3; Bao, Hua2,3; Rao, Changhui2,3
刊名Sensors
2020-09-01
卷号20期号:17页码:1-13
关键词phase diversity convolutional nerual network real time
ISSN号1424-8220
DOI10.3390/s20174877
文献子类期刊论文
英文摘要We propose a convolutional neural network (CNN) based method, namely phase diversity convolutional neural network (PD-CNN) for the speed acceleration of phase-diversity wavefront sensing. The PD-CNN has achieved a state-of-the-art result, with the inference speed about 0.5 ms, while fusing the information of the focal and defocused intensity images. When compared to the traditional phase diversity (PD) algorithms, the PD-CNN is a light-weight model without complicated iterative transformation and optimization process. Experiments have been done to demonstrate the accuracy and speed of the proposed approach. © MDPI AG. All rights reserved.
出版地BASEL
WOS关键词COMPENSATION
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
出版者MDPI
WOS记录号WOS:000569656700001
内容类型期刊论文
源URL[http://ir.ioe.ac.cn/handle/181551/10143]  
专题光电技术研究所_自适应光学技术研究室(八室)
作者单位1.University of Chinese Academy of Sciences, Beijing; 100049, China
2.The Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu; 610209, China;
3.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China;
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GB/T 7714
Wu, Yu,Guo, Youming,Bao, Hua,et al. Sub-millisecond phase retrieval for phase-diversity wavefront sensor[J]. Sensors,2020,20(17):1-13.
APA Wu, Yu,Guo, Youming,Bao, Hua,&Rao, Changhui.(2020).Sub-millisecond phase retrieval for phase-diversity wavefront sensor.Sensors,20(17),1-13.
MLA Wu, Yu,et al."Sub-millisecond phase retrieval for phase-diversity wavefront sensor".Sensors 20.17(2020):1-13.
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