Random two-frame interferometry based on deep learning
文献类型:期刊论文
作者 | Li, Ziqiang1,2,3,4; Li, Xinyang1,2; Liang, Rongguang3 |
刊名 | Optics Express
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出版日期 | 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 |
WOS记录号 | WOS:000560936200033 |
出版者 | OPTICAL SOC AMER |
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. |
入库方式: OAI收割
来源:光电技术研究所
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