Object Reconstruction Using the Binomial Theorem for Ghost Imaging
文献类型：期刊论文
| 作者 | Yue, Cong; Chen, Ping; Lv, Xiaofeng; Wang, Chenglong; Guo, Shuxu; Song, Junfeng; Gong, Wenlin; Gao, Fengli |
| 刊名 | Ieee Photonics Journal
 |
| 出版日期 | 2018 |
| 卷号 | 10期号:6 |
| 关键词 | Image reconstruction Algebra Computation theory Imaging techniques Laser beams Quantum optics Speckle |
| ISSN号 | 19430655 |
| DOI | 10.1109/JPHOT.2018.2880430 |
| 英文摘要 | 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. 2009-2012 IEEE. |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/60742]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | Yue, Cong,Chen, Ping,Lv, Xiaofeng,et al. Object Reconstruction Using the Binomial Theorem for Ghost Imaging[J]. Ieee Photonics Journal,2018,10(6). |
| APA | Yue, Cong.,Chen, Ping.,Lv, Xiaofeng.,Wang, Chenglong.,Guo, Shuxu.,...&Gao, Fengli.(2018).Object Reconstruction Using the Binomial Theorem for Ghost Imaging.Ieee Photonics Journal,10(6). |
| MLA | Yue, Cong,et al."Object Reconstruction Using the Binomial Theorem for Ghost Imaging".Ieee Photonics Journal 10.6(2018). |
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