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A numerical investigation on the convergence issues for ghost imaging

2014/06/29 by Minghui Zhang, Zhang, Minghui
Computer Science · Engineering · Physics and Astronomy · #Advanced Optical Imaging Technologies #Computer Graphics and Visualization Techniques #FOS: Physical sciences #Optics (physics.optics) #Quantum Physics (quant-ph) #Random lasers and scattering media

paper · pdf · doi:10.48550/arxiv.1406.7512

openalex publication_date 2014/06/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The long time consumption is a bottleneck for the applicability of the ghost imaging (GI). By introducing a criterion for the convergence of GI, we investigate a factor that impacts on the convergence speed of it. Based on computer experiments, we demonstrate that the object's feature size relative to the spatial coherent length of the illuminating light impacts on the necessary number of uncorrelated data being acquired for the correlation computation. It may motivate people to seek ways towards real-time practical applications of GI and its analogues. In addition, the method to simulate the uncorrelated sequence of a complex ensemble for thermal light is valuable in applications where actively controlling the light fields is needed.

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