Anti-noise computational ghost imaging based on wavelet threshold denoising

被引：0

作者：

Fan, Yiran ^{[1
]}

Bai, Yanfeng ^{[1
]}

Fu, Qin ^{[2
]}

Zhang, Rong ^{[1
]}

Zhou, Liyu ^{[1
]}

Zhu, Xiaohui ^{[1
]}

Zou, Xuanpengfan ^{[1
]}

Fu, Xiquan ^{[1
]}

机构：

[1] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China

[2] Hubei Univ Technol, Sch Comp Sci, Wuhan 430068, Hubei, Peoples R China

来源：

OPTICS COMMUNICATIONS | 2024年 / 566卷

基金：

中国国家自然科学基金;

关键词：

Computational ghost imaging; Wavelet threshold denoising; Anti-noise;

D O I：

10.1016/j.optcom.2024.130684

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Noise can inevitably affect imaging quality of optical imaging system. In this paper, a method of computational ghost imaging (CGI) with better anti-noise performance is proposed by using wavelet threshold denoising (WTD). The simulation and experimental results show that this method exhibits better robustness against both the light source noise and the path noise. To explain this phenomenon, the decline rate of the correlation coefficients between speckle patterns (CCSP) under different noise levels are analyzed. As a post-processing method, our method is simple to implement and is applicable to both random speckle CGI and orthogonal modulated CGI, potentially broadening application prospects in practical applications of ghost imaging.

引用

页数：6

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