Feature-based phase retrieval wavefront sensing approach using machine learning

doi:10.1364/oe.26.031767

CIOMP OpenIR

	Feature-based phase retrieval wavefront sensing approach using machine learning
	Ju, G. H.; Qi, X.; Ma, H. C.; Yan, C. X.
	2018
发表期刊	Optics Express (IF:3.669[JCR-2019],3.461[5-Year])
ISSN	1094-4087
卷号	26 期号:24 页码:31767-31783
摘要	A feature-based phase retrieval wavefront sensing approach using machine learning is proposed in contrast to the conventional intensity-based approaches. Specifically, the Tchebichef moments which are orthogonal in the discrete domain of the image coordinate space are introduced to represent the features of the point spread functions (PSFs) at the infocus and defocus image planes. The back-propagation artificial neural network, which is one of most wide applied machine learning tool, is utilized to establish the nonlinear mapping between the Tchebichef moment features and the corresponding aberration coefficients of the optical system. The Tchebichef moments can effectively characterize the intensity distribution of the PSFs. Once well trained, the neural network can directly output the aberration coefficients of the optical system to a good precision with these image features serving as the input. Adequate experiments are implemented to demonstrate the effectiveness and accuracy of proposed approach. This work presents a feasible and easy-implemented way to improve the efficiency and robustness of the phase retrieval wavefront sensing. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
关键词	neural-network adaptive optics image algorithms Optics
DOI	10.1364/oe.26.031767
收录类别	SCI ; EI
引用统计	被引频次：49[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60994
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Ju, G. H.,Qi, X.,Ma, H. C.,et al. Feature-based phase retrieval wavefront sensing approach using machine learning[J]. Optics Express,2018,26(24):31767-31783.
APA	Ju, G. H.,Qi, X.,Ma, H. C.,&Yan, C. X..(2018).Feature-based phase retrieval wavefront sensing approach using machine learning.Optics Express,26(24),31767-31783.
MLA	Ju, G. H.,et al."Feature-based phase retrieval wavefront sensing approach using machine learning".Optics Express 26.24(2018):31767-31783.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
Feature-based phase （3079KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文