Research on Dehazing of Cable Tunnel Image Based on Dark Channel Prior

Qian Li, Yuechao Chen, Junguo Feng, Jun Zhang, Xiaoyun Sun, Yuchao Cao
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Abstract

The cable tunnel is an architectural structure to protect the cable. The building is located underground, and the cable is not visible to the naked eye on the ground like overhead lines. In order to protect and maintain the cable, there is a cable monitoring system. Among them, the most important thing for the monitoring system is to capture the images in the cable tunnel, and the generation of fog in the tunnel is unfavorable for the monitoring images. So there is a dehazing method. The traditional dehazing method is roughly divided into a dehazing method based on a physical model and a non-physical model. This paper studies the dehazing of the cable tunnel image based on the dark channel prior algorithm of the physical model.
基于暗信道先验的电缆隧道图像去雾研究
电缆隧道是一种保护电缆的建筑结构。该建筑位于地下,电缆在地面上不像架空线路那样肉眼可见。为了保护和维护电缆,有电缆监控系统。其中,监控系统最重要的是对电缆隧道内的图像进行采集,而隧道内雾的产生对监控图像的采集是不利的。所以有一种除雾的方法。传统的除雾方法大致分为基于物理模型的除雾方法和基于非物理模型的除雾方法。本文研究了基于物理模型暗信道先验算法的电缆隧道图像去雾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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