Paper
21 June 2024 Non-invasive imaging through random media based on boundless point spread function
Quanchun Yu, Hongcheng Yin, Liangsheng Li
Author Affiliations +
Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131672I (2024) https://doi.org/10.1117/12.3029706
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China
Abstract
The scattering effect of random media such as clouds, turbid water, and biological tissue severely restricts the imaging and ranging capabilities of optical detection and ranging systems through media. The method of using precise simulation of the light transmission process to invert the target image has gradually become the mainstream method for imaging through scattering media. In the diffusion equation method commonly used for simulating light transmission in random media, it is necessary to strictly determine the boundary of the random media, which is difficult to achieve in practical applications. We propose a boundless point spread function for simulating the propagation of light in random media, which equates the diffusion of light in a finite-sized random media to that in an infinitely large random media, without obtain the boundary of the random media. Our proposed imaging method may have potential applications in fields such as medicine, rescue and relief, exploration, and autonomous driving, where obtaining information about the boundary of random media is typically difficult.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Quanchun Yu, Hongcheng Yin, and Liangsheng Li "Non-invasive imaging through random media based on boundless point spread function", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131672I (21 June 2024); https://doi.org/10.1117/12.3029706
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KEYWORDS
Point spread functions

Diffusion

Image filtering

Scattering

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