Multi-resolution progressive computational ghost imaging

doi:10.1088/2040-8986/ab1471

CIOMP OpenIR

	Multi-resolution progressive computational ghost imaging
	C.Zhou; T.Tian; C.Gao; W.Gong; L.Song
	2019
发表期刊	Journal of Optics (United Kingdom)
ISSN	20408978
卷号	21 期号:5
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.
关键词	Imaging techniques,Image enhancement,Target tracking
DOI	10.1088/2040-8986/ab1471
URL	查看原文
收录类别	EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	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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