电气工程及其自动化
学生姓名 海外卖松花蛋被查杨超程 指导教师 李国辉
摘要 雾霭等天气条件下获得的图像，具有图像不清晰，颜失真等等一些图像退化的现象，直接影响了视觉系统的发挥。因此，为了有效的改善雾化图像的质量，降低雾霭等天气条件下造成户外系统成像的影响，对雾霭图像进行有效的去雾处理显得十分必要。 本设计提出了三种图像去雾算法，一种是基于光照分离模型的图像去雾算法；一种是基于直方图均衡化的图像去雾算法；还有一种是基于暗原先验的图像去雾算法。并在MATLAB的基础上对现实生活的图像进行了去雾处理，最后对不同的方法的处理结果进行了简要的分析。
关键词：图像去雾浙江天台中学 光照分离三峡船闸 直方图均衡化 暗原先验
Algorithm and its implementation of image dehazing
目诊Major Electrical engineering and automation
Student Yang Chaocheng Supervisor Li Guohui
Abstract Haze weather conditions so as to obtain the image, the image is not clear, the phenomenon of color distortion and so on some image degradation, directly influence the exertion of the visual system. Therefore, in order to effectively improve the atomization quality of the image, reduce the haze caused by outdoor weather conditions such as imaging system, the influence of the haze image effectively it is necessary to deal with the fog.
This design introduced three kinds of algorithms of image to fog, a model is based on the separation of light image to fog algorithm; One is the image to fog algorithm based on histogram equalization; Another is based on the dark grey apriori algorithms of image to fog. And on the basis of MATLAB to the real life to deal with the fog, the image of the processing results of different methods are briefly analyzed.
的名字Key words: Image to fog Light separation histogram Dark grey
目 录
摘要 I
Abstract. II
目录
1绪论图像去雾霭算法及其实现 1
1.1研究背景及意义 1
老师的味道1.2当前图像去雾霭技术发展现状及其趋势 2
1.3 本文的章节安排 2
1.4小结 3
2图像去雾霭基础理论 4
2.1雾霭的形成机理 4
2.2图像去雾算法 4
