NSSC OpenIR  > 空间技术部
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)
作者部门空间技术部
发表期刊Chinese Physics B
2017
卷号26期号:2
ISSN1674-1056
语种英语
关键词Image Reconstruction Optical Resolving Power
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.
收录类别SCI ; EI
文献类型期刊论文
条目标识符http://ir.nssc.ac.cn/handle/122/5746
专题空间技术部
通讯作者Yao, Xu-Ri (yaoxuri@aliyun.com)
推荐引用方式
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).
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
2017262024203.pdf(6854KB)期刊论文作者接受稿开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xue, Chang-Bin]的文章
[Yao, Xu-Ri]的文章
[Li, Long-Zhen]的文章
百度学术
百度学术中相似的文章
[Xue, Chang-Bin]的文章
[Yao, Xu-Ri]的文章
[Li, Long-Zhen]的文章
必应学术
必应学术中相似的文章
[Xue, Chang-Bin]的文章
[Yao, Xu-Ri]的文章
[Li, Long-Zhen]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。