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Super-resolution thermal ghost imaging based on deconvolution

Published online by Cambridge University Press:  17 June 2014

Zhipeng Chen ,
Jianhong Shi ,
Yuan Li ,
Qing Li  and
Guihua Zeng
Zhipeng Chen
Affiliation:
State Key Laboratory of Advanced Optical Communication Systems and Networks, Key Lab on Navigation and Location-Based Service, Department of Electronic Engineering, Shanghai Jiaotong University, 200240 Shanghai, P.R. China College of Electronics and Information, Shanghai Dianji University, 200240 Shanghai, P.R. China
Jianhong Shi*
Affiliation:
State Key Laboratory of Advanced Optical Communication Systems and Networks, Key Lab on Navigation and Location-Based Service, Department of Electronic Engineering, Shanghai Jiaotong University, 200240 Shanghai, P.R. China
Yuan Li
Affiliation:
College of Electronics and Information, Shanghai Dianji University, 200240 Shanghai, P.R. China
Qing Li
Affiliation:
College of Electronics and Information, Shanghai Dianji University, 200240 Shanghai, P.R. China
Guihua Zeng
Affiliation:
State Key Laboratory of Advanced Optical Communication Systems and Networks, Key Lab on Navigation and Location-Based Service, Department of Electronic Engineering, Shanghai Jiaotong University, 200240 Shanghai, P.R. China
*
aemail: purewater@sjtu.edu.cn
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Abstract

The resolution of classical imaging is limited by the Rayleigh diffraction limit, whereas ghost imaging can overcome this diffraction limit and enhance the resolution. In this paper, we propose a super-resolution thermal ghost imaging scheme based on deconvolution, which can further improve the imaging resolution. Because the traditional thermal ghost imaging result is the convolution between the original image of the object and the correlation function, we can use deconvolution algorithm to decrease the effect of convolution and enhance the imaging resolution. Actually, the correlation function of ghost imaging system is just the point spread function (PSF) of classical imaging system. However, PSF is hard to obtain in classical imaging system, and it is easy to obtain in ghost imaging system. So deconvolution algorithm can be easily used in the ghost imaging system, and the imaging resolution can increases 2–3 times in practice.

Type
Research Article
Information
The European Physical Journal - Applied Physics , Volume 67 , Issue 1 , July 2014 , 10501
Copyright
© EDP Sciences, 2014

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