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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Bibliographic Details
Published inChinese physics B Vol. 26; no. 2; pp. 218 - 222
Main Author 薛长斌 姚旭日 李龙珍 刘雪峰 俞文凯 郭晓勇 翟光杰 赵清
Format Journal Article
LanguageEnglish
Published 01.02.2017
Subjects
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
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ISSN1674-1056
2058-3834
DOI10.1088/1674-1056/26/2/024203

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Summary: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.
Bibliography: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）
ISSN:1674-1056
2058-3834
DOI:10.1088/1674-1056/26/2/024203