Object-independent image-based wavefront sensing approach using phase diversity images and deep learning

doi:10.1364/oe.27.026102

CIOMP OpenIR

	Object-independent image-based wavefront sensing approach using phase diversity images and deep learning
	Q.Xin; G.H.Ju; C.Y.Zhang; S.Y.Xu
	2019
发表期刊	Optics Express
ISSN	1094-4087
卷号	27 期号:18 页码:26102-26119
摘要	This paper proposes an image-based wavefront sensing approach using deep learning, which is applicable to both point source and any extended scenes at the same time, while the training process is performed without any simulated or real ex tended scenes. Rather than directly recovering phase information from image plane intensities, we first extract a special feature in the frequency domain that is independent of the original objects but only determined by phase aberrations (a pair of phase diversity images is needed in this process). Then the deep long short-term memory (LSTM) network (a variant of recurrent neural network) is introduced to establish the accurate non-linear mapping between the extracted feature image and phase aberrations. Simulations and an experiment are performed to demonstrate the effectiveness and accuracy of the proposed approach. Some other discussions are further presented for demonstrating the superior non-linear fitting capacity of deep LSTM compared to Resnet 18 (a variant of convolutional neural network) specifically for the problem encountered in this paper. The effect of the incoherency of light on the accuracy of the recovered wavefront phase is also quantitatively discussed. This work will contribute to the application of deep learning to image-based wavefront sensing and high-resolution image reconstruction. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
关键词	retrieval,algorithm,optics
DOI	10.1364/oe.27.026102
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/62925
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	Q.Xin,G.H.Ju,C.Y.Zhang,et al. Object-independent image-based wavefront sensing approach using phase diversity images and deep learning[J]. Optics Express,2019,27(18):26102-26119.
APA	Q.Xin,G.H.Ju,C.Y.Zhang,&S.Y.Xu.(2019).Object-independent image-based wavefront sensing approach using phase diversity images and deep learning.Optics Express,27(18),26102-26119.
MLA	Q.Xin,et al."Object-independent image-based wavefront sensing approach using phase diversity images and deep learning".Optics Express 27.18(2019):26102-26119.

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