图像去雾霭算法及其实现.doc

实用标准文案 PAGE 精彩文档 实用标准文案 精彩文档 图像去雾霭算法及其实现 电气工程及其自动化 学生姓名 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，颜色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色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 光照分离 直方图均衡化 暗原色先验 Algorithm and its implementation of image dehazing 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. Key words: Image to fog Light separation histogram Dark grey 目 录 TOC \o 1-3 \h \u HYPERLINK \l _Toc30965 摘要 PAGEREF _Toc30965 I HYPERLINK \l _Toc28591 Abstract. PAGEREF _Toc28591 II HYPERLINK \l _Toc1939 目录 HYPERLINK \l _Toc6370 1绪论图像去雾霭算法及其实现 PAGEREF _Toc6370 1 HYPERLINK \l _Toc12914 1.1研究背景及意义 PAGEREF _Toc12914 1 HYPERLINK \l _Toc13306 1.2当前图像去雾霭技术发展现状及其趋势 PAGEREF _Toc13306 2 HYPERLINK \l _Toc24750 1.3 本文的章节安排 PAGEREF _Toc24750 2 HYPERLINK \l _Toc13018 1.4小结 PAGEREF _Toc13018 3 HYPERLINK \l _Toc12012 2图像去雾霭基础理论 PAGEREF _Toc12012 4 HYPERLINK \l _Toc12447 2.1雾霭的形成机理 PAGEREF _Toc1