中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive compressive ghost imaging based on wavelet trees and sparse representation

文献类型:期刊论文

作者Yu, WK ; Li, MF ; Yao, XR ; Liu, XF ; Wu, LA ; Zhai, GJ
刊名OPTICS EXPRESS
出版日期2014
卷号22期号:6页码:7133
ISSN号1094-4087
通讯作者Zhai, GJ (reprint author), Chinese Acad Sci, Key Lab Elect & Informat Technol Space Syst, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China.
中文摘要Compressed sensing is a theory which can reconstruct an image almost perfectly with only a few measurements by finding its sparsest representation. However, the computation time consumed for large images may be a few hours or more. In this work, we both theoretically and experimentally demonstrate a method that combines the advantages of both adaptive computational ghost imaging and compressed sensing, which we call adaptive compressive ghost imaging, whereby both the reconstruction time and measurements required for any image size can be significantly reduced. The technique can be used to improve the performance of all computational ghost imaging protocols, especially when measuring ultraweak or noisy signals, and can be extended to imaging applications at any wavelength. (c) 2014 Optical Society of America
资助信息National Key Scientific Instrument and Equipment Development Project of China [2013YQ030595]; National High Technology Research and Development Program of China [2011AA120102]; State Key Development Program for Basic Research of China [2010CB922904]; National Natural Science Foundation of China [61274024, 11375224]
语种英语
公开日期2015-04-14
源URL[http://ir.iphy.ac.cn/handle/311004/59423]  
专题物理研究所_物理所公开发表论文_物理所公开发表论文_期刊论文
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GB/T 7714
Yu, WK,Li, MF,Yao, XR,et al. Adaptive compressive ghost imaging based on wavelet trees and sparse representation[J]. OPTICS EXPRESS,2014,22(6):7133.
APA Yu, WK,Li, MF,Yao, XR,Liu, XF,Wu, LA,&Zhai, GJ.(2014).Adaptive compressive ghost imaging based on wavelet trees and sparse representation.OPTICS EXPRESS,22(6),7133.
MLA Yu, WK,et al."Adaptive compressive ghost imaging based on wavelet trees and sparse representation".OPTICS EXPRESS 22.6(2014):7133.

入库方式: OAI收割

来源:物理研究所

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