一种基于改进的暗原色先验图像去雾方法  

A Defogging Method Based on Improved Dark Original Prior Image

作　　者：戚娜[1] 惠红梅[1] 穆昌[1] 

机构地区：[1]陕西工业职业技术学院,陕西咸阳712000

出　　处：《计算机与现代化》2016年第5期18-21,共4页Computer and Modernization

基　　金：陕西工业职业技术学院院级科研课题(ZK14-02)

摘　　要：为了减小雾霾天气对户外视觉系统的影响,本文提出一种基于改进的暗原色先验图像去雾方法。首先,分析雾霾天气图像的成像机理;其次对传统的暗原色先验去雾原理和算法进行简单介绍和客观分析;再次针对传统暗原色先验去雾算法做了部分的优化和改进;最后采用不同的去雾算法对部分有雾图像进行仿真实验。结果表明,该方法可以明显地提高原始图像的清晰度和对比度。In order to reduce the influence of fog weather on the outdoor imaging system,this paper proposes an improved dark original prior image defogging method. First,the analysis of the imaging mechanism of haze weather images is made. Then we make a simple introduction and objective analysis on the traditional dark original prior defogging principle and algorithm,and make some optimization and improvement. Finally,simulation experiments are took for fog images using various algorithms. The results show that,the method can significantly improve the definition and contrast ratio of the original image.

关 键 词：雾霾天气 图像 暗原色先验算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]