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Proceedings Paper

Intelligent ghost imaging (Conference Presentation)
Author(s): Valeria Rodríguez-Fajardo; Jonathan Pinell; Christopher Ayala; Andrew Forbes

Paper Abstract

Ghost imaging gives the possibility of imaging objects with extremely low levels of light, which could be particularly useful for light-sensitive objects. In this study, we varied different important experimental parameters of our all-digital set-up, that condition both the acquisition time and quality of the reconstructed image, with the idea of finding the optimal ones. In addition to this, we introduced machine-learning techniques to include a recognition algorithm that further reduces the time necessary to identify the imaged object. This improvement in efficiency paves the way to use ghost imaging for living specimens.

Paper Details

Date Published: 10 September 2019
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Proc. SPIE 11134, Quantum Communications and Quantum Imaging XVII, 111340Q (10 September 2019);
Show Author Affiliations
Valeria Rodríguez-Fajardo, Univ. of the Witwatersrand, Johannesburg (South Africa)
Jonathan Pinell, Univ. of the Witwatersrand (South Africa)
Christopher Ayala, Univ. of the Witwatersrand, Johannesburg (South Africa)
Andrew Forbes, Univ. of the Witwatersrand, Johannesburg (South Africa)


Published in SPIE Proceedings Vol. 11134:
Quantum Communications and Quantum Imaging XVII
Keith S. Deacon, Editor(s)

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