Anti-noise computational ghost imaging based on wavelet threshold denoising

Abstract

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.