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Adaptive compressive ghost imaging based on wavelet trees and sparse representation
Yu, Wen-Kai; Li, Ming-Fei; Yao, Xu-Ri; Liu, Xue-Feng; Wu, Ling-An; Zhai, Guang-Jie; Zhai, GJ (reprint author), Chinese Acad Sci, Key Lab Elect & Informat Technol Space Syst, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China.
Department空间技术部
Source PublicationOPTICS EXPRESS
2014
Volume22Issue:6Pages:7133-7144
ISSN1094-4087
Language英语
AbstractCompressed 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
Indexed BySCI ; EI
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/2722
Collection空间技术部
Corresponding AuthorZhai, GJ (reprint author), Chinese Acad Sci, Key Lab Elect & Informat Technol Space Syst, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Yu, Wen-Kai,Li, Ming-Fei,Yao, Xu-Ri,et al. Adaptive compressive ghost imaging based on wavelet trees and sparse representation[J]. OPTICS EXPRESS,2014,22(6):7133-7144.
APA Yu, Wen-Kai.,Li, Ming-Fei.,Yao, Xu-Ri.,Liu, Xue-Feng.,Wu, Ling-An.,...&Zhai, GJ .(2014).Adaptive compressive ghost imaging based on wavelet trees and sparse representation.OPTICS EXPRESS,22(6),7133-7144.
MLA Yu, Wen-Kai,et al."Adaptive compressive ghost imaging based on wavelet trees and sparse representation".OPTICS EXPRESS 22.6(2014):7133-7144.
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