Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints
文献类型：期刊论文
| 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 |
| 刊名 | Chinese Physics B
 |
| 出版日期 | 2017 |
| 卷号 | 26期号:2 |
| 关键词 | Image reconstruction Optical resolving power |
| ISSN号 | 1674-1056 |
| 通讯作者 | Yao, Xu-Ri (yaoxuri@aliyun.com) |
| 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. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/5746]  |
| 专题 | 国家空间科学中心_空间技术部 |
| 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.,...&Zhao, Qing.(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). |
入库方式： OAI收割
来源：国家空间科学中心
浏览0
下载0
收藏0
其他版本
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。