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Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints
Xue, Chang-Bin; Yao, Xu-Ri; Li, Long-Zhen; Liu, Xue-Feng; Yu, Wen-Kai; Guo, Xiao-Yong; Zhai, Guang-Jie; Zhao, Qing; Yao, Xu-Ri (yaoxuri@aliyun.com)
Department空间技术部
Source PublicationChinese Physics B
2017
Volume26Issue:2
ISSN1674-1056
Language英语
KeywordImage Reconstruction Optical Resolving Power
AbstractWe 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. © 2017 Chinese Physical Society and IOP Publishing Ltd.
Indexed BySCI ; EI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/5746
Collection空间技术部
Corresponding AuthorYao, Xu-Ri (yaoxuri@aliyun.com)
Recommended Citation
GB/T 7714
Xue, Chang-Bin,Yao, Xu-Ri,Li, Long-Zhen,et al. Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints[J]. Chinese Physics B,2017,26(2).
APA Xue, Chang-Bin.,Yao, Xu-Ri.,Li, Long-Zhen.,Liu, Xue-Feng.,Yu, Wen-Kai.,...&Yao, Xu-Ri .(2017).Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints.Chinese Physics B,26(2).
MLA Xue, Chang-Bin,et al."Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints".Chinese Physics B 26.2(2017).
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