Far-field super-oscillation imaging based on the super-oscillation elements and PSF feature extraction algorithm | |
Xie, Qingkun1,2; Wang, Jing1,2; Jiang, Yanru1,2; Liang, Jian1; Qu, Enshi1; Ren, Liyong1![]() | |
作者部门 | 信息光子学研究室 |
2018-03-01 | |
发表期刊 | JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
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ISSN | 1084-7529 |
卷号 | 35期号:3页码:491-495 |
产权排序 | 1 |
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. |
DOI | 10.1364/JOSAA.35.000491 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000427443300016 |
EI入藏号 | 20181004854200 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30748 |
专题 | 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. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Far-field super-osci(2013KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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