Random two-frame interferometry based on deep learning

doi:10.1364/OE.397904

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 自适应光学技术研究室（八室）

	Random two-frame interferometry based on deep learning
	Li, Ziqiang 1,2,3,4; Li, Xinyang 1,2; Liang, Rongguang 3
刊名	Optics Express
	2020-08-17
卷号	28 期号:17 页码:24747-24760
ISSN号	1094-4087
DOI	10.1364/OE.397904
文献子类	期刊论文
英文摘要	A two-frame phase-shifting interferometric wavefront reconstruction method based on deep learning is proposed. By learning from a large number of simulation data based on a physical model, the wrapped phase can be calculated accurately from two interferograms with an unknown phase step. The phase step can be any value excluding the integral multiples of π and the size of interferograms can be flexible. This method does not need a pre-filtering to subtract the direct-current term, but only needs a simple normalization. Comparing with other two-frame methods in both simulations and experiments, the proposed method can achieve better performance. © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
出版地	WASHINGTON
WOS研究方向	Optics
语种	英语
出版者	OPTICAL SOC AMER
WOS记录号	WOS:000560936200033
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/10111]
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.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan; 610209, China; 2.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan; 610209, China; 3.College of Optical Sciences, University of Arizona, Tucson; AZ; 85721, United States 4.University of Chinese Academy of Sciences, Beijing; 100049, China;
推荐引用方式 GB/T 7714	Li, Ziqiang,Li, Xinyang,Liang, Rongguang. Random two-frame interferometry based on deep learning[J]. Optics Express,2020,28(17):24747-24760.
APA	Li, Ziqiang,Li, Xinyang,&Liang, Rongguang.(2020).Random two-frame interferometry based on deep learning.Optics Express,28(17),24747-24760.
MLA	Li, Ziqiang,et al."Random two-frame interferometry based on deep learning".Optics Express 28.17(2020):24747-24760.