图像去雾算法研究综述

Review of Image Dehazing Algorithms

随着人工智能技术的不断发展,计算机视觉在各个领域有着广泛的应用。然而这些应用作用在有雾图像上,其性能将受到严重的影响。为解决此类问题,图像去雾算法研究已受到较多研究者的关注。图像去雾算法是为了处理有雾受损场景、获取细节增强的图像预处理结果图的处理方法。为了研究图像去雾算法的发展现状,将对传统图像处理去雾算法和深度学习去雾算法进行分类。在此基础上,介绍不同算法的优缺点,并总结图像去雾算法的发展展望。

With the continuous development of AI,computer vision is widely used in various fields.However,when these applica-tions work on haze images,their performance will be seriously affected.To address this problem,the research on image dehazing al-gorithm has attracted researchers'attention.Image dehazing algorithm is a processing method to deal with haze damaged scenes and obtain the image preprocessing result map of detail enhancement.In order to research the development status of image dehazing al-gorithm,this paper will classify the traditional image processing dehazing algorithm and deep learning dehazing algorithm.On this basis,the advantages and disadvantages of different algorithms are introduced,and the development and prospect of image dehazing algorithms are summarized.