Spectral encoded computational ghost imaging

doi:10.1016/j.optcom.2020.126105

	Spectral encoded computational ghost imaging
	Huang, Jian 1,2,3; Shi, Dongfeng 1,2,3; Meng, Wenwen 1,3; Zha, Linbin 1,3; Yuan, Kee 1,2,3; Hu, Shunxing 1,2,3; Wang, Yingjian 1,2,3
刊名	OPTICS COMMUNICATIONS
	2020-11-01
卷号	474
关键词	Spectral imaging Ghost imaging Compressive sensing Evolutionary compressive sensing
ISSN号	0030-4018
DOI	10.1016/j.optcom.2020.126105
通讯作者	Huang, Jian(jhuang@aiofm.ac.cn)
英文摘要	Multispectral imaging can acquire images of a scene in multiple spectral bands and has been widely applied in many fields, such as satellite remote sensing and geological exploration. Traditional multispectral imaging employs dispersive optical devices or narrowband filters to separate different wavelengths of light and then uses an array detector or many single-pixel detectors to retrieve them separately. These techniques suffer from large data volumes and low efficiency. In this paper, a spectral encoded strategy is proposed to realize multispectral imaging with computational ghost imaging technology. The projected illumination patterns are produced by means of deterministic orthogonal Hadamard basis patterns fused with random spectral encoded matrices, which represent different spectral information. The evolutionary compressive sensing technique is employed to restore the fused multispectral image of the color object of interest, and then a compressive sensing algorithm is applied to restore the spectral channel images. The validity of the technique is verified by a numerical simulation and an experiment. The proposed method allows a multispectral image simultaneously by only one single-pixel detector, which simplifies the structure of the spectral imaging setup and reduces the amount of data acquired and reconstruction time, and thus improving multispectral imaging efficiency.
资助项目	National Natural Science Foundation of China[11404344] ; National Natural Science Foundation of China[41505019] ; National Natural Science Foundation of China[41475001] ; State Key Laboratory of Pulsed Power Laser Technology[SKL2018ZR10] ; Youth Innovation Promotion Association of CAS[2020438] ; Youth Fund of Advanced Laser Technology Laboratory of Anhui Province[20192201]
WOS关键词	MOVING-OBJECTS ; SINGLE ; TRACKING
WOS研究方向	Optics
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000579424200054
资助机构	National Natural Science Foundation of China ; State Key Laboratory of Pulsed Power Laser Technology ; Youth Innovation Promotion Association of CAS ; Youth Fund of Advanced Laser Technology Laboratory of Anhui Province
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/104663]
专题	中国科学院合肥物质科学研究院
通讯作者	Huang, Jian
作者单位	1.Univ Sci & Technol China, Hefei 230026, Peoples R China 2.Adv Laser Technol Lab Anhui Prov, Hefei 230031, Peoples R China 3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Huang, Jian,Shi, Dongfeng,Meng, Wenwen,et al. Spectral encoded computational ghost imaging[J]. OPTICS COMMUNICATIONS,2020,474.
APA	Huang, Jian.,Shi, Dongfeng.,Meng, Wenwen.,Zha, Linbin.,Yuan, Kee.,...&Wang, Yingjian.(2020).Spectral encoded computational ghost imaging.OPTICS COMMUNICATIONS,474.
MLA	Huang, Jian,et al."Spectral encoded computational ghost imaging".OPTICS COMMUNICATIONS 474(2020).