Research on a big data information optical double encryption algorithm based on compressive ghost imaging

Abstract

Ghost imaging (GI) has the characteristics of nonlocality and high resolution, which makes it different from traditional optical imaging. Therefore, GI has great development prospects in image information encryption. Due to the characteristics of GI, images with a large amount of information require a large amount of correlation calculation and reconstruction time during imaging. In this paper, a big data information optical double encryption algorithm based on compressive GI is proposed. The combination of Arnold mapping, QR codes and compressive ghost images can reduce the amount of information transmission and improve the resolution of the reconstructed image. It can not only break the limitation of the image information in traditional GI, but also enhance the security of the encryption image algorithm.