Robustness to periodic noise in ghost imaging using random and inverse patterns

Abstract

The image quality of ghost imaging (“GI”) is degraded by noise such as ambient light. In this experiment, we evaluated the robustness to periodic noise of normal GI using random patterns and that of GI using inverse patterns (“IPGI”) by simulation and experiment. The results confirmed that increasing the number of illuminated patterns per noise period improved the robustness of IPGI to periodic noise. On the other hand, with a high signal-to-noise ratio, the GI system reconstructed better images than IPGI.