Multi-resolution progressive computational ghost imaging

Abstract

Ghost imaging needs massive measurements to obtain an image with good\nvisibility and the imaging speed is usually very low. In order to realize\nreal-time high-resolution ghost imaging of a target which is located in a\nscenario with a large field of view (FOV), we propose a high-speed\nmulti-resolution progressive computational ghost imaging approach. The target\narea is firstly locked by a low-resolution image with a small number of\nmeasurements, then high-resolution imaging of the target can be obtained by\nonly modulating the light fields corresponding to the target area. The\nexperiments verify the feasibility of the approach. The influence of detection\nsignal-to-noise ratio on the quality of multi-resolution progressive\ncomputational ghost imaging is also investigated experimentally. This approach\nmay be applied to some practical application scenarios such as ground-to-air or\nair-to-air imaging with a large FOV.\n