Regular Article

Binary detection in ghost imaging with preserved grayscale

College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, P.R. China

^a e-mail: fuxq@hnu.edu.cn

Received: 26 October 2018
Received in final form: 20 February 2019
Published online: 14 May 2019

Abstract

Traditional imaging of grayscale object generally demands multiple bits detection, in this paper, ghost imaging for grayscale object based on binary detection is investigated, and our results demonstrate that binary ghost imaging is enough to reconstruct the grayscale objects. With only binary signals, a little difference between binary and ordinary ghost imaging can be found when reconstructing the object with lower grayscale value, however, for the grayscale object with higher value, binary ghost imaging almostly achieves the same results to ordinary ghost imaging. Under extreme cases, the image of a grayscale object can be obtained by using the binary detector according to the characteristics of ghost imaging.