雾霾条件下单幅图像去雾算法研究与实现  

Research and Implementation on the Single Image Haze Removal Algorithm

作　　者：张道华[1] 

机构地区：[1]毫州师范高等专科学校电子与信息工程系,安徽亳州236800

出　　处：《韶关学院学报》2015年第6期8-13,共6页Journal of Shaoguan University

基　　金：安徽省质量工程项目(2014msgzs170)

摘　　要：雾霾条件下获得的图像信息模糊,给实际运用带来了严重不便.图像去雾算法有非常重要的意义.把暗通道优先单幅图像去雾算法为作为探讨雾天图像清晰化的算法研究重点,简述了直方图均衡化去雾算法和多尺度Retinex去雾算法,将3者进行了效果与效率上的性能分析.利用MATLAB集成这3种雾天图像清晰化算法实现了简单的去雾系统.The haze-image experiences degradation or fuzzy information, and in this way digital image processing technology will be caused great inconvenience. Therefore, the de-haze technology is very significant. This essay discusses a single image haze removal algorithm using Dark Channel Prior. This essay also briefly describes the histogram equalization algorithm to fog and multi-scale Retinex to fog algorithms, performance analysis on the effectiveness and efficiency to facilitate the dark channel priority algorithm with these two algorithms. In the last part of this essay, it implements defogging system integrating these three clear of the fog image processing algorithms by using the matlab software.

关 键 词：雾天图像增强 数字图像处理 暗通道优先 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]