Multi-resolution progressive computational ghost imaging
文献类型:期刊论文
作者 | C.Zhou; T.Tian; C.Gao; W.Gong; L.Song |
刊名 | Journal of Optics (United Kingdom)
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出版日期 | 2019 |
卷号 | 21期号:5 |
关键词 | Imaging techniques,Image enhancement,Target tracking |
ISSN号 | 20408978 |
DOI | 10.1088/2040-8986/ab1471 |
英文摘要 | Most studies on ghost imaging focus on high-quality and high-resolution imaging with a few measurements. However, as far as we know, continuous multi-resolution imaging is rarely mentioned. In this work, we both theoretically and experimentally demonstrate a method that uses the Hadamard derived pattern to realize continuous multi-resolution imaging simply and quickly, which we call multi-resolution progressive computational ghost imaging, whereby both the reconstruction time and measurements required for multi-resolution images can be significantly reduced. This approach improves the flexibility of ghost imaging, and can be extended to multi-resolution image-dependent practical applications, such as target tracking and recognition. 2019 IOP Publishing Ltd. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.ciomp.ac.cn/handle/181722/62739] ![]() |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | C.Zhou,T.Tian,C.Gao,et al. Multi-resolution progressive computational ghost imaging[J]. Journal of Optics (United Kingdom),2019,21(5). |
APA | C.Zhou,T.Tian,C.Gao,W.Gong,&L.Song.(2019).Multi-resolution progressive computational ghost imaging.Journal of Optics (United Kingdom),21(5). |
MLA | C.Zhou,et al."Multi-resolution progressive computational ghost imaging".Journal of Optics (United Kingdom) 21.5(2019). |
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