Research on Ghost Imaging Method Based on Binocular Vision Matching Fusion

Abstract

In order to meet the visual characteristics of human eyes, in this paper, we propose a ghost imaging method based on binocular vision matching fusion. The imaging process of the left-eye camera and the right-eye camera in binocular vision system is realized, using ghost imaging algorithm, and its weak signal imaging characteristics can effectively compensate the parallax between the left-eye camera and the right-eye camera. The Speeded Up Robust Features algorithm is used to match the feature points of the two sub-images. Combined with the fusion algorithm of New Sum of Modified Laplacian, the two sub-images after registration are fused to obtain a clearer image. Whether from the visual perception (human vision) or objective analysis (CC, SSIM, IE, RMSE, PSNR, and BER), it can be proved that the proposed scheme has better image quality, better fidelity and robustness, and is closer to the ideal image, which provides a new method for binocular vision imaging technology.