无人机外挂红外镜头的图像清晰化算法

Image Clarity Algorithm for Drone-equipped Infrared Lens

以红外成像研究为出发点,根据红外图像背景、数据集和算法模型的发展方向,对红外图像增强技术展开研究,以可见光去雾模型为参照,提出了一种新的红外图像清晰化算法,并进行了具体实验。经图像清晰度评价指标的计算与评估,表明该算法有不错的去雾效果,在一定程度上解决了无人机在雨雾天气下因镜头积水积雾导致的图像数据采集效果不佳的问题,有较强的实用意义。

This paper studies the enhancement technology for infrared images by taking infrared imaging research as the starting point,and based on development direction of infrared image background,dataset,and algorithm models.By referring to visible light defogging model,a new infrared image clarity algorithm is proposed,and specific experiments are conducted.The algorithm has been verified by image clarity evaluation indicators to have a satisfactory defogging effect and to some extent help in solving the problem of poor image data collection performance caused by fog and water deposition on surface of lens equipped on drones,exhibiting strong practical significance.