Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Self-optimizing ghost imaging with a genetic algorithm

Not Accessible

Your library or personal account may give you access

Abstract

To simplify the reconstruction algorithms in ghost imaging, we present a feedback-based approach to reduce reconstruction times. We introduce a genetic algorithm to optimize the illumination patterns in real-time to match with the object’s shape.

© 2020 The Author(s)

PDF Article
More Like This
Klyshko efficiency optimization using a genetic algorithm

Javier Sabines-Chesterking, Paul-Antoine Moreau, Alex McMillan, Robert Fickler, John Rarity, and Jonathan Matthews
JTh2A.30 CLEO: Applications and Technology (CLEO_AT) 2020

Self-Optimizing Mode-Locked Laser using a Genetic Algorithm

R. I. Woodward and E. J. R. Kelleher
STu3P.6 CLEO: Science and Innovations (CLEO_SI) 2016

Optimization of Simulated Coherent Combination System Using Fourier Optics Based Genetic Algorithm

Randy Lemons and Sergio Carbajo
JTh2C.3 CLEO: Applications and Technology (CLEO_AT) 2020

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved