Open AccessTracking and imaging of moving objects with temporal intensity difference correlation
Author(s) -
Shuai Sun,
Huizu Lin,
Yuanxi Xu,
Junhao Gu,
Weitao Liu
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.027851
Subject(s) - ghost imaging , computer vision , artificial intelligence , computer science , tracking (education) , detector , image quality , intensity (physics) , moment (physics) , spatial frequency , optics , image (mathematics) , physics , psychology , pedagogy , classical mechanics
At present, a large number of samplings are required to reconstruct an image of the objects in ghost imaging. When imaging moving objects, it will be hard to perform enough samplings during the moment when the objects can be taken as immobile, causing the reconstructed image of the objects deteriorating. In this paper, we propose a temporal intensity difference correlation ghost imaging scheme, in which a high-quality image of the moving objects within a complex scene can be extracted with much fewer samplings. The spatial sparsity of the moving objects is utilized, while only a linear algorithm is required. This method decreases the number of required samplings, thus relaxing the requirement on high refresh frequency of illumination source and high speed detector, to obtain the information of moving objects with ghost imaging.