中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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)
出版日期2019
卷号21期号:5
关键词Imaging techniques,Image enhancement,Target tracking
ISSN号20408978
DOI10.1088/2040-8986/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).

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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。