Chinese Optics Letters, 2021, 19 (2): 021102, Published Online: Jan. 4, 2021  

Color ghost imaging via sparsity constraint and non-local self-similarity Download: 793次

Author Affiliations
1 Key Laboratory of Quantum Optics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
2 Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
3 Wuhan Optics Valley Aerospace Sanjiang Laser Industrial Technology Research Institute Co., Ltd., Wuhan 430075, China
4 Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
Abstract
We propose a color ghost imaging approach where the object is illuminated by three-color non-orthogonal random patterns. The object’s reflection/transmission information is received by only one single-pixel detector, and both the sparsity constraint and non-local self-similarity of the object are utilized in the image reconstruction process. Numerical simulation results demonstrate that the imaging quality can be obviously enhanced by ghost imaging via sparsity constraint and non-local self-similarity (GISCNL), compared with the reconstruction methods where only the object’s sparsity is used. Factors affecting the quality of GISCNL, such as the measurement number and the detection signal-to-noise ratio, are also studied.

Pengwei Wang, Chenglong Wang, Cuiping Yu, Shuai Yue, Wenlin Gong, Shensheng Han. Color ghost imaging via sparsity constraint and non-local self-similarity[J]. Chinese Optics Letters, 2021, 19(2): 021102.

引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!