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Optical Engineering • Open Access

Image contrast model of non-line-of-sight imaging based on laser range-gated imaging
Author(s): Kaida Xu; Weiqi Jin; Shenyou Zhao; Jing Liu; Hui Guo; Su Qiu; Dongsheng Wu

Paper Abstract

Laser range-gated imaging systems can obtain images of targets hidden around the corner, with an intermediary reflective surface with certain specular reflection characteristics. This imaging mode is called non-line-of-sight imaging. This paper describes a simulation of the target signal illuminance and disturbance radiation on the photosensitive surface of a non-line-of-sight imaging system based on modeling of an intermediary reflective surface. Meanwhile, an image contrast model of a non-line-of-sight imaging system is constructed. Simulation of the image contrast for a laser range-gated imaging system as a non-line-of-sight imaging equipment was carried out by analyzing the effects of varying the target signal illuminance and intermediary reflective surface reflection. Our simulation results show that the reflection characteristics of the intermediary reflective surface have a significant effect on the non-line-of-sight imaging. Although ordinary active laser imaging can realize non-line-of-sight imaging for an intermediary reflective surface with significant specular reflection characteristics, a laser range-gated imaging system is indispensable for non-line-of-sight imaging with commonly used intermediary reflective surfaces without significant specular reflection characteristics. The image contrast model of non-line-of-sight imaging constructed in this paper provides insights into the theoretical analysis and system design, as well as practical application of non-line-of-sight imaging.

Paper Details

Date Published: 16 December 2013
PDF: 10 pages
Opt. Eng. 53(6) 061610 doi: 10.1117/1.OE.53.6.061610
Published in: Optical Engineering Volume 53, Issue 6
Show Author Affiliations
Kaida Xu, Beijing Institute of Technology (China)
Weiqi Jin, Beijing Institute of Technology (China)
Shenyou Zhao, Beijing Institute of Technology (China)
Jing Liu, Beijing Institute of Technology (China)
Hui Guo, Beijing Institute of Technology (China)
Su Qiu, Beijing Institute of Technology (China)
Dongsheng Wu, Beijing Institute of Technology (China)


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