Open AccessTime division ghost imaging
Author(s) -
Teruaki Torii,
Yuta Haruse,
Shintaro Sugimoto,
Yusuke Kasaba
Publication year - 2021
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.419619
Subject(s) - ghost imaging , robustness (evolution) , image quality , computer science , division (mathematics) , optics , point spread function , artificial intelligence , image processing , spatial frequency , noise (video) , image resolution , computer vision , algorithm , image (mathematics) , physics , mathematics , biochemistry , chemistry , arithmetic , gene
In the conventional ghost imaging, it requires to illuminate a large number of patterns in order to reconstruct a good quality image under a low signal-to-noise ratio. We propose a new method so called time division ghost imaging to improve the quality of the image in noisy environment. In this procedure, the total number of patterns in the calculation process of the correlation function are divided into the sub-units with fewer illuminated patterns. Then one calculates the correlation for each sub-unit, and synthesizes the intermediate images obtained at each sub-unit. The validation and effectiveness of this method are confirmed by simulation and experiment, showing the robustness to noise.