4.4 Article

Defogging lens design for infrared laser active imaging by orbital angular momentum meta-surface

期刊

AIP ADVANCES
卷 13, 期 4, 页码 -

出版社

AIP Publishing
DOI: 10.1063/5.0145386

关键词

-

向作者/读者索取更多资源

Imaging in scattering media has always been a major challenge due to the interference of background noise with the object information carried by ballistic light, resulting in poor image quality. To address this, active illumination imaging technology offers various advantages over passive imaging by introducing controllable parameters like polarization and coded aperture. In this study, we successfully introduced orbital angular momentum into scattering imaging, effectively enhancing the mid/high frequency components of the object. Furthermore, we fused the enhanced image with the low-quality image obtained from traditional imaging, leading to significant improvements in signal-to-noise ratio and image contrast. This method holds potential applications in foggy environments for autonomous driving, lidar, and machine vision.
Imaging in scattering media has been a big problem, as the ballistic light carrying object information is swamped by background noise, thus degrading the imaging quality. In addressing this issue, active illumination imaging technology has various advantages over passive imaging since it can introduce several controllable parameters, such as polarization, coded aperture, and so on. Here, we actively introduce orbital angular momentum into the scattering imaging, which can effectively enhance the mid/high frequency components of the object. Then, it is fused with the low-quality image obtained by traditional imaging, which can effectively enhance the visualization. Compared with the results of direct imaging, the signal-to-noise ratio is improved by up to 250%-300%, and the image contrast is improved by up to 300%-400%. This method may find applications in foggy environments for autonomous driving, lidar, and machine vision.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据