Object Reconstruction Using the Binomial Theorem for Ghost Imaging

IEEE Photonics Journal

Chenglong Wang¹  Wenlin Gong¹  Fengli Gao²  Shuxu Guo²  Ping Chen²  Xiaofeng Lv²  Junfeng Song²  Cong Yue² 

[1] Key Laboratory for Quantum Optics and Center for Cold Atom Physics of CAS, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, China;State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, China;

关键词: Imaging processing;    coherence imaging;    photon statistics;    quantum optics;   

DOI  :  10.1109/JPHOT.2018.2880430

来源: DOAJ

【 摘 要 】

Noise term in the reconstruction matrix in ghost imaging is a major cause of blurring imaging results. To remedy this problem, we propose a new ghost imaging method based on the binomial theorem to reduce the level of noise. In our method, images with low-level noise can be generated by constructing a binomial formula using high-order imaging results that are acquired by reintroducing the reconstruction result back into the imaging formula repeatedly. Experimental and simulation results demonstrate that our method is effective in improving imaging quality and the anti-interference performance and reducing computing time, making it useful for practical applications.

【 授权许可】

Unknown