[1]王万国,王滨海,张晶晶,等. 基于直方图规定化的图像去雾算法[J].计算机技术与发展,2014,24(09):241-244.
　WANG Wan-guo,WANG Bin-hai,ZHANG Jing-jing,et al. Image Haze Removal Algorithm Based on Histogram Specification[J].,2014,24(09):241-244.
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 基于直方图规定化的图像去雾算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年09期
页码:
241-244
栏目:
应用开发研究
出版日期:
2014-09-10

文章信息/Info

Title:
 Image Haze Removal Algorithm Based on Histogram Specification
文章编号:
1673-629X（2014）09-0241-04
作者:
 王万国; 王滨海; 张晶晶; 李丽
 国网山东省电力公司电力科学研究院 国家电网公司电力机器人技术实验室； 山东鲁能智能技术有限公司
Author(s):
 WANG Wan-guo; WANG Bin-hai; ZHANG Jing-jing; LI Li
关键词:
 ; 高斯函数; 直方图规定化; 图像去雾;  加权
Keywords:
 ; Gaussian function; histogram specification; image haze removal; weighted
分类号:
TP301.6
文献标志码:
A
摘要:
 直方图规定化是图像增强领域一个常用的算法，文中提出一种通过高斯函数加权的直方图规定化的图像去雾算法。首先通过分析晴天与雾霾天气下图像的直方图的特点，提出一种通过对高斯函数中方差的改变和高斯函数的加权的方式，解决了原有的单纯高斯函数直方图规定化图像偏暗的问题。通过实验图像的对比可以看出，文中提出的算法可有效去除雾霾天气的影响，其处理效果明显优于直方图规定化算法，而且计算量小、处理速度快、不需要人工干预。
Abstract:
 Histogram specification is a commonly used algorithm in image enhancement field. Propose an image haze removal algorithm of histogram specification based on the weighted Gaussian probability density function ( Gaussian PDF) in this paper. Firstly,analyzing the characteristics of image histogram that captured in sunny,fogging and haze weather. Then,solve the weak intensity problem of image specification of the single Gaussian function through changing the variance and weighted Gaussian PDF. The experimental results show the algorithm is able to remove the fog effectively,which is superior to the some existing algorithms of histogram specification about effi-ciency. It also has many advantages such as low computation,fast processing speed,no manual intervention.

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更新日期/Last Update: 2015-04-02