Open AccessAdaptive ghost imaging
Author(s) -
Xiao Zhang,
He Yin,
Rui Li,
Jiaying Hong,
Shengnan Ai,
Wenxin Zhang,
Chengming Wang,
J Hsieh,
Qin Li,
Ping Xue
Publication year - 2020
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.391788
Subject(s) - ghost imaging , optics , computer science , artificial intelligence , computer vision , physics , imaging science , spatial frequency , object (grammar) , optical imaging
Traditional ghost imaging applies correlated algorithms to reconstruct the image of an object. However, it fundamentally requires some spatial distributions of the correlated light beam, e.g. random illumination, which hardly exists in reality. Here, different from the localized analysis used in the traditional ghost imaging, a spatial and temporal global analysis of the whole measurements is proposed. Therefore, we demonstrate a new ghost imaging modality, called adaptive ghost imaging (AGI), that utilizes the difference of successive frames as the correlation pattern to generate the image. As a result, AGI can work with any varying illuminations including, but not limited to, random illumination. We believe that AGI will make the ghost imaging easier, more applicable and closer to reality.