Phase diversity algorithm with high noise robust based on deep denoising convolutional neural network

doi:10.1364/oe.27.022846

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	Phase diversity algorithm with high noise robust based on deep denoising convolutional neural network
	D.Q.Li; S.Y.Xu; D.Wang; D.J.Yan
	2019
发表期刊	Optics Express
ISSN	1094-4087
卷号	27 期号:16 页码:22846-22854
摘要	The wave-front phase expanded on the Zernike polynomials is estimated from a pair of images by the use of a maximum-likelihood approach, the in-focus image and the defocus image, which contaminated by noise, will greatly reduce the solution accuracy of the phase diversity (PD) algorithm. In the study, we introduce the deep denoising convolutional neural networks (DnCNNs) into the image preprocessing of PD to denoise the in-focus image and defocus the image containing gaussian white noise to improve the robustness of PD to noise. The simulation results show that the composite PD algorithm with DnCNNs is better than the traditional PD algorithm in both RMSE of phase estimation and SSIM, and the mean of the RMSE of the phase estimation of the improved PD algorithm is reduced by 78.48%, 82.35%, 71.09% and 73.67% compared with the mean of the RMSE of the phase estimation of the traditional PD algorithm. The well-trained DnCNNs runs fast, which does not increase the running time of traditional PD algorithms, and the compound approach may be widely used in various domains, such as the measurements of intrinsic aberrations in optical systems and compensations for atmospheric turbulence. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
关键词	Optics
DOI	10.1364/oe.27.022846
URL	查看原文
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/181722/63274
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	D.Q.Li,S.Y.Xu,D.Wang,et al. Phase diversity algorithm with high noise robust based on deep denoising convolutional neural network[J]. Optics Express,2019,27(16):22846-22854.
APA	D.Q.Li,S.Y.Xu,D.Wang,&D.J.Yan.(2019).Phase diversity algorithm with high noise robust based on deep denoising convolutional neural network.Optics Express,27(16),22846-22854.
MLA	D.Q.Li,et al."Phase diversity algorithm with high noise robust based on deep denoising convolutional neural network".Optics Express 27.16(2019):22846-22854.

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