Ghost imaging for an occluded object

摘要

Imaging for an occluded object is usually a significant problem. In this letter, we introduce an imaging scheme based on computational ghost imaging, which can obtain the image of a target object behind an obstacle. According to our theory, the distance between the object and the obstacle and the wavelength of the light source will affect the quality of the reconstructed image. In addition, if the bucket detector is placed far away from the obstacle, a tiny point-like detector without collecting lens can be applied to realize the imaging. The theoretical results above have been verified with our numerical simulations.