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Compressive imaging super-resolution based on scrambled block Hadamard ensemble
Sun Yicheng,Sui Xiubao * #,Gu Guohua,Liu Yuan
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nan Jing, 210094
*Correspondence author
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Funding: Specialized Research Fund for the Doctoral Program of Higher Education of China （No.20113219120017）, National Natural Science Foundation of China （No.11503010）
Opened online: 4 December 2015
Accepted by: none
Citation: Sun Yicheng,Sui Xiubao,Gu Guohua.Compressive imaging super-resolution based on scrambled block Hadamard ensemble[OL]. [ 4 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4665671
 
 
Recent advances in the field of compressive sensing indicate that it is possible to robustly reconstruct super-resolution images from judicious compressive samplings. However, the design of simple and effective random optical sensing architecture is still a huge challenge. In this paper we propose a novel model to achieve compressive imaging super-resolution based on an optical realization of scrambled block Hadamard ensemble sensing operation. We further demonstrate that the proposed model can achieve a 4-times higher spatial resolution imaging with little number of measurements in a single-shot acquisition process.
Keywords:Superresolution; Computational imaging; Hadamard ensemble; Compressive sensing
 
 
 

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