众所周知,在生活中语音、文字、符号以及图像等是人类获取信息的主要来源,而图像信息占60％以上。随着科技的不断发展,为获得有效的、精准的图像信息,这对我们来说是一项艰巨的任务与挑战。而在恶劣的天气条件里,其中雾天出现的频率最高,这对获取精准的图像信息造成很大影响。 户外的视觉场景要求图像的去雾算法具有鲁棒性、自动性、实时性以及有效性等性质，现如今已经有相关的图像去雾算法的应用了，但还没能达到成熟阶段，因此，在这方面的研究仍存在极大的发展空间。鉴于有雾图像的去雾算法在很多视觉系统中有着广泛的应用，也是计算机视觉领域和数字图像处理的热门研究之一。因此在有雾等天气状况条件下对获取的退化图像如何分析、处理，对有雾的退化图像进行去雾和对景物的细节信息如何提高有着重要的现实意义。本课题是研究有雾天气状况条件下的单幅图像去雾技术，并通过Android平台上的应用软件来实现图像去雾。其研究目的是通过对现有的图像去雾算法进行研究和分析，并在暗通道先

验图像去雾算法的基础之上，研究一种速度较快、图像复原效果较好的算法,最后借助eclipse实验平台设计一款图像去雾的手机A- As we all know, voice, text, symbols, and other image is the main source of human access to information, and the image information of more than 60 in　our life,. With the continuous development of technology, in order to obtain valid, accurate image information, which for us is a daunting task and challenges. And in bad weather conditions, the highest frequency in which fog occurs, which obtain accurate information on the image information of great impact. Outdoor visual scene requires image defogging algorithm is robust, automatic nature, the nature and effectiveness of real-time, etc., now have the associated image defogging algorithm is applied, but have not been able to reach maturity, therefore, Research in this area there is still great room for development. Given the foggy image of defogging algorithm has been widely used in many visual system is one of the hot research field of visual and digital image processing computer. Therefore, in foggy weather conditions and other condi