Far-field super-oscillation imaging based on the super-oscillation elements and PSF feature extraction algorithm
文献类型:期刊论文
作者 | Xie, Qingkun1,2; Wang, Jing1,2; Jiang, Yanru1,2; Liang, Jian1; Qu, Enshi1; Ren, Liyong1![]() |
刊名 | JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
![]() |
出版日期 | 2018-03-01 |
卷号 | 35期号:3页码:491-495 |
ISSN号 | 1084-7529 |
DOI | 10.1364/JOSAA.35.000491 |
产权排序 | 1 |
英文摘要 | Suffering from the limited number aperture, a resolution higher than 0.5. cannot be obtained in conventional far-field optical imaging systems. Recently, research of the optical super-oscillation lens (SOL) has been demonstrated to realize sub-diffractive focusing in both theory and practice successfully. Nevertheless, these systems usually have characteristics of a localized field of view and low-intensity focal spot surrounded by huge sidelobes, which profoundly restricts their application for super-resolution imaging. In this paper, we artificially segment the SOL into two simple-fabrication portions to generate the super-oscillation optical field and realize off-axis far-field imaging. Meanwhile, the point spread function (PSF) feature extraction algorithm is proposed to break the limitation of low core intensity of the PSF and then effectively extract the sub-diffractive structure annihilated by huge sidelobes. Simulations demonstrate its feasibility and reliability in sub-diffraction information recovery, and targets with a resolution of 250 nm are well recovered in the super-oscillation area. (C) 2018 Optical Society of America. |
语种 | 英语 |
WOS记录号 | WOS:000427443300016 |
源URL | [http://ir.opt.ac.cn/handle/181661/30748] ![]() |
专题 | 西安光学精密机械研究所_信息光子学研究室 |
通讯作者 | Ren, Liyong |
作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Res Dept Informat Photon, Xian 710119, Shaanxi, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Xie, Qingkun,Wang, Jing,Jiang, Yanru,et al. Far-field super-oscillation imaging based on the super-oscillation elements and PSF feature extraction algorithm[J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION,2018,35(3):491-495. |
APA | Xie, Qingkun,Wang, Jing,Jiang, Yanru,Liang, Jian,Qu, Enshi,&Ren, Liyong.(2018).Far-field super-oscillation imaging based on the super-oscillation elements and PSF feature extraction algorithm.JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION,35(3),491-495. |
MLA | Xie, Qingkun,et al."Far-field super-oscillation imaging based on the super-oscillation elements and PSF feature extraction algorithm".JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION 35.3(2018):491-495. |
入库方式: OAI收割
来源:西安光学精密机械研究所
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。