中文摘要：

随着计算机视觉技术的发展及其在智能交通、军事以及安全监控等领域的应用需求,图像去雾处理成为计算机视觉领域中的重要问题与研究热点.在雾、霾等天气条件下,大气粒子的散射作用导致成像传感器采集的图像严重降质.图像去雾技术的任务是通过图像增强或图像复原方法去除天气因素对图像质量的影响,以改善图像的视觉效果和方便后期处理.归纳总结了单幅图像去雾方法的研究现状,重点分析了基于图像增强和复原的两大类方法,深入探讨了其中的一些经典算法并对这些算法进行了分析比较,最后针对基于图像复原方法的去雾技术指出了存在的问题并提出了未来的发展趋势.

英文摘要：

With the development of computer vision technology and its application in intelligent transportation, military and security monitoring and other fields, image dehazing processing is an important issue and research focus in the field of computer vision. Images acquired in bad weather, such as fog and haze, are seriously degraded by the scatting of the atmosphere. The task of image dehazing is to remove the influence of weather factors through image enhancement or restoration methods in order to improve the visual effect of image and convenient post-processing. This paper summarized the research status of single image dehazing, and analyzed two categories approaches, namely image enhancement and image restoration. Some of the classic algorithms of these methods are also thoroughly discussed and characteristics analyzed. Finally, further discussions are pointed out on present situation and future development.