光学
散射
计算机科学
干扰(通信)
降噪
光散射
计算机视觉
人工智能
物理
电信
频道(广播)
作者
Yaoming Bian,Fei Wang,Yuanzhe Wang,Zhenfeng Fu,Haishan Liu,Hang Yuan,Guohai Situ
出处
期刊:Photonics Research
[The Optical Society]
日期:2023-12-22
卷期号:12 (1): 134-134
摘要
Imaging through non-static and optically thick scattering media such as dense fog, heavy smoke, and turbid water is crucial in various applications. However, most existing methods rely on either active and coherent light illumination, or image priors, preventing their application in situations where only passive illumination is possible. In this study we present a universal passive method for imaging through dense scattering media that does not depend on any prior information. Combining the selection of small-angle components out of the incoming information-carrying scattering light and image enhancement algorithm that incorporates time-domain minimum filtering and denoising, we show that the proposed method can dramatically improve the signal-to-interference ratio and contrast of the raw camera image in outfield experiments.
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