Paper
7 November 2018 Research on ghost image reconstruction algorithm based on photons simulation with doubly Poisson stochastic process
Author Affiliations +
Proceedings Volume 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications; 108321I (2018) https://doi.org/10.1117/12.2511627
Event: Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 2018, Changchun, China
Abstract
In this paper, we propose a photon counting ghost imaging scheme based on time-correlated single photon counting, and based on this scheme, Monte Carlo simulation is conduct with doubly Poisson stochastic process model ,the feasibility of traditional ghost imaging and corresponding ghost imaging is verified in this simulation, the influencing factors such as the number of frame M and the number of pulse within a single digital micro-mirror device(DMD) period D is also analyzed in the simulation. The results shows that the corresponding ghost imaging algorithm can effectively reduce the calculation amount when the imaging quality is close between the two algorithms, and the number of frames M has a greater influence on image quality. The model can effectively verify the feasibility of system design and improve the efficiency of the experiment, saving experiment time and costs.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yibing Yang, Qiurong Yan, Yifan Wang, Dan Li, and Ling Tao "Research on ghost image reconstruction algorithm based on photons simulation with doubly Poisson stochastic process", Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 108321I (7 November 2018); https://doi.org/10.1117/12.2511627
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Photons

Reconstruction algorithms

Image quality

Computer simulations

Stochastic processes

Digital micromirror devices

Imaging systems

Back to Top