Imaging quality improvement of ghost imaging under high correlation coefficient between speckle patterns

Abstract

High correlation coefficient between speckle patterns (CCSP) results in poor imaging quality in ghost imaging (GI), especially for long-distance imaging. In this paper, we derive the analytic formula of CCSP generated by RGG and verify its effectiveness through experiments. Aiming at the degradation of imaging quality caused by high average correlation coefficient, we propose a new subset division scheme based on ordered subset expectation maximization technique to improve the quality of ghost-image. The experimental and simulation results demonstrate that our scheme can get better imaging quality under the same average correlation coefficient when compared with the commonly used GI algorithms. Even when these algorithms fail to reconstruct the target due to high average correlation coefficient, our scheme still obtains good imaging results.