Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints
We demonstrate that, by undersampling scanning object with a reconstruction algorithm related to compressed sensing, an image with the resolution exceeding the finest resolution defined by the numerical aperture of the system can be obtained. Experimental results show that the measurements needed to...
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| Published in | Chinese physics B Vol. 26; no. 2; pp. 218 - 222 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.02.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-1056 2058-3834 |
| DOI | 10.1088/1674-1056/26/2/024203 |
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| Abstract | We demonstrate that, by undersampling scanning object with a reconstruction algorithm related to compressed sensing, an image with the resolution exceeding the finest resolution defined by the numerical aperture of the system can be obtained. Experimental results show that the measurements needed to achieve sub-Rayleigh resolution enhancement can be less than 10% of the pixels of the object. This method offers a general approach applicable to point-by-point illumination super-resolution techniques. |
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| AbstractList | We demonstrate that, by undersampling scanning object with a reconstruction algorithm related to compressed sensing, an image with the resolution exceeding the finest resolution defined by the numerical aperture of the system can be obtained. Experimental results show that the measurements needed to achieve sub-Rayleigh resolution enhancement can be less than 10% of the pixels of the object. This method offers a general approach applicable to point-by-point illumination super-resolution techniques. |
| Author | 薛长斌 姚旭日 李龙珍 刘雪峰 俞文凯 郭晓勇 翟光杰 赵清 |
| AuthorAffiliation | School of Physics, Beijing Institute of Technology, Beijing 100081, China Key Laboratory of Electronics and Information Technology for Space System, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China |
| Author_xml | – sequence: 1 fullname: 薛长斌 姚旭日 李龙珍 刘雪峰 俞文凯 郭晓勇 翟光杰 赵清 |
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| Cites_doi | 10.1109/TIT.2006.871582 10.1073/pnas.1119511109 10.1364/OL.35.001148 10.1109/MSP.2007.914730 10.1364/AO.50.000405 10.1073/pnas.0437847100 10.1080/713819421 10.1364/AO.52.007882 10.1038/237510a0 10.1016/j.physleta.2012.03.027 10.1038/nmat3289 10.1364/OE.19.005480 10.1109/TIT.2005.862083 10.1063/1.3238296 |
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| Notes | super-resolution image reconstruction techniques We demonstrate that, by undersampling scanning object with a reconstruction algorithm related to compressed sensing, an image with the resolution exceeding the finest resolution defined by the numerical aperture of the system can be obtained. Experimental results show that the measurements needed to achieve sub-Rayleigh resolution enhancement can be less than 10% of the pixels of the object. This method offers a general approach applicable to point-by-point illumination super-resolution techniques. 11-5639/O4 Chang-Bin Xue1,2, Xu-Ri Yao2, Wen-Kai Yu1, Xiao-Yong Guo2, Long-Zhen Li2, Xue-Feng Liu2, Guang-Jie Zhai2, Qing Zhao1 （1. School of Physics, Beijing Institute of Technology, Beijing 100081, China; 2. Key Laboratory of Electronics and Information Technology for Space System, National Space Science Center Chinese Academy of Sciences, Beijing 100190, China） |
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| References | Yao X R (12) 2015; 24 Ash E A (1) 1972; 237 Candés E J (4) 2006; 52 Szameit A (10) 2012; 11 Gong W L (13) 2012; 376 Magalhães F (16) 2011; 50 Katz O (7) 2009; 95 Li C B (15) 2010 Yu W K (8) 2013; 52 Shechtman Y (9) 2010; 35 Studer V (14) 2012; 109 Donoho D L (17) 2003; 100 Li L J (11) 2014; 63 Donoho D (5) 2006; 52 Mouradian S (3) 2011; 19 Sheppard C J R (2) 1977; 24 Duarte M F (6) 2008; 25 |
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| SubjectTerms | 分辨率增强 成像 扫描 欠采样 瑞利 相关算法 稀疏性 超分辨率技术 |
| Title | Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints |
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