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题名: Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints
作者: Xue, Chang-Bin; Yao, Xu-Ri; Li, Long-Zhen; Liu, Xue-Feng; Yu, Wen-Kai; Guo, Xiao-Yong; Zhai, Guang-Jie; Zhao, Qing
作者部门: 空间技术部
通讯作者: Yao, Xu-Ri (yaoxuri@aliyun.com)
关键词: Image reconstruction ; Optical resolving power
刊名: Chinese Physics B
ISSN号: 1674-1056
出版日期: 2017
卷号: 26, 期号:2
收录类别: EI
英文摘要: 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. © 2017 Chinese Physical Society and IOP Publishing Ltd.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.nssc.ac.cn/handle/122/5746
Appears in Collections:空间技术部_期刊论文

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