Computational Ghost Imaging with Multiplexed Time-Varying Signals
Joint Authors
Gao, Yarong
Ye, Zhiyuan
Bai, Zhichen
Liu, Xin
Bo, Su
Source
International Journal of Optics
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This study proposes two methods of optical watermarking based on multiplexed time-varying signals for computational ghost imaging using the Hadamard matrices.
The proposed methods can realize image fusion and dual optical encryption.
The time-varying signal is encoded into a specific Hadamard coefficient in advance and hidden in the light source of the transmitting end as a multiplicative factor or loaded at the receiving end as an additive factor.
Theory and experiments confirm the feasibility of this scheme.
Moreover, the scheme is highly scalable and has potential applications in multispectral single-pixel imaging.
American Psychological Association (APA)
Gao, Yarong& Ye, Zhiyuan& Bai, Zhichen& Liu, Xin& Bo, Su. 2020. Computational Ghost Imaging with Multiplexed Time-Varying Signals. International Journal of Optics،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1172936
Modern Language Association (MLA)
Gao, Yarong…[et al.]. Computational Ghost Imaging with Multiplexed Time-Varying Signals. International Journal of Optics No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1172936
American Medical Association (AMA)
Gao, Yarong& Ye, Zhiyuan& Bai, Zhichen& Liu, Xin& Bo, Su. Computational Ghost Imaging with Multiplexed Time-Varying Signals. International Journal of Optics. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1172936
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172936