Morphology separation in ghost imaging via sparsity constraint
文献类型：期刊论文
| 作者 | Xu, Xuyang; Li, Enrong; Yu, Hong; Gong, Wenlin; Han, Shensheng |
| 刊名 | opt. express
 |
| 出版日期 | 2014 |
| 卷号 | 22期号:12页码:14375 |
| 关键词 | THERMAL LIGHT SUPERRESOLUTION TRANSFORMS |
| 通讯作者 | li, er (reprint author), chinese acad sci, shanghai inst opt & fine mech, key lab quantum opt, shanghai 201800, peoples r china. |
| 英文摘要 | the separation of morphology components in ghost imaging via sparsity constraint is investigated by adapting the morphology component analysis technique based on the fact that different morphology components can be sparsely expressed in different basis. the successful separation of reconstructed image plays an important role in the ability to identify it, analyze it, enhance it and more. this approach is first studied with numerical simulations and then verified with both table-top and outdoor experimental data. results show that it can not only separate different morphology components but also improve the quality of the reconstructed image. (c) 2014 optical society of america |
| 收录类别 | SCI |
| 语种 | 英语 |
| 版本 | 出版稿 |
| 源URL | [http://ir.siom.ac.cn/handle/181231/13549]  |
| 专题 | 上海光学精密机械研究所_量子光学重点实验室 |
| 作者单位 | 1.[Li, Enrong] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Key Lab Quantum Opt, Shanghai 201800, Peoples R China 2.Chinese Acad Sci, Ctr Cold Atom Phys CAS, Shanghai Inst Opt & Fine Mech, Shanghai 201800, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Xuyang,Li, Enrong,Yu, Hong,et al. Morphology separation in ghost imaging via sparsity constraint[J]. opt. express,2014,22(12):14375. |
| APA | Xu, Xuyang,Li, Enrong,Yu, Hong,Gong, Wenlin,&Han, Shensheng.(2014).Morphology separation in ghost imaging via sparsity constraint.opt. express,22(12),14375. |
| MLA | Xu, Xuyang,et al."Morphology separation in ghost imaging via sparsity constraint".opt. express 22.12(2014):14375. |
入库方式： OAI收割
来源：上海光学精密机械研究所
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。