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
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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 |
推荐引用方式 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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