
Enhancing robustness of ghost imaging against environment noise via cross-correlation in time domain
Author(s) -
Dong Liu,
Ding Yang,
Shuai Sun,
Yuegang Li,
Liang Jiang,
Huizu Lin,
Wei-Tao Liu
Publication year - 2021
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.439519
Subject(s) - ghost imaging , robustness (evolution) , optics , image quality , cross correlation , computer science , noise (video) , signal to noise ratio (imaging) , spatial frequency , physics , computer vision , mathematics , image (mathematics) , mathematical analysis , biochemistry , chemistry , gene
Research towards practical applications of ghost imaging attracts more and more attention in recent years. Signal-to-noise ratio (SNR) of bucket results thus quality of images can be greatly affected by environmental noise, such as strong background light. We introduce temporal cross-correlation into typical ghost imaging to improve SNR of bucket value, taking temporal profile of illumination pulses as a prior information. Experimental results at sunny noontime verified our method, with the imaging quality greatly improved for the object at a distance of 1.3km. We also show the possibility of 3-dimensional imaging, experimentally.