Spectral Camera based on Ghost Imaging via Sparsity Constraints
Liu, Zhentao; Wu, Jianrong; Li, Enrong; Han, Shensheng; Shen, Xia; Tan, Shiyu
刊名Sci Rep
2016
卷号6
通讯作者sshan@mail.shcnc.ac.cn
英文摘要The image information acquisition ability of a conventional camera is usually much lower than the Shannon Limit since it does not make use of the correlation between pixels of image data. Applying a random phase modulator to code the spectral images and combining with compressive sensing (CS) theory, a spectral camera based on true thermal light ghost imaging via sparsity constraints (GISC spectral camera) is proposed and demonstrated experimentally. GISC spectral camera can acquire the information at a rate significantly below the Nyquist rate, and the resolution of the cells in the three-dimensional (3D) spectral images data-cube can be achieved with a two-dimensional (2D) detector in a single exposure. For the first time, GISC spectral camera opens the way of approaching the Shannon Limit determined by Information Theory in optical imaging instruments.
收录类别SCI
WOS记录号WOS:000375898200001
内容类型期刊论文
源URL[http://ir.siom.ac.cn/handle/181231/27824]  
专题上海光学精密机械研究所_量子光学重点实验室
作者单位中国科学院上海光学精密机械研究所
推荐引用方式
GB/T 7714
Liu, Zhentao,Wu, Jianrong,Li, Enrong,et al. Spectral Camera based on Ghost Imaging via Sparsity Constraints[J]. Sci Rep,2016,6.
APA Liu, Zhentao,Wu, Jianrong,Li, Enrong,Han, Shensheng,Shen, Xia,&Tan, Shiyu.(2016).Spectral Camera based on Ghost Imaging via Sparsity Constraints.Sci Rep,6.
MLA Liu, Zhentao,et al."Spectral Camera based on Ghost Imaging via Sparsity Constraints".Sci Rep 6(2016).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace