[1]高 银,云利军,石俊生,等.基于四阶PDE模型的暗原色理论雾天 图像增强算法[J].南京理工大学学报(自然科学版),2015,39(05):544.
　Gao Yin,Yun Lijun,Shi Junsheng,et al.Enhancement dark channel theory algorithm of fog image based on fourth-order PDE model[J].Journal of Nanjing University of Science and Technology,2015,39(05):544.
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基于四阶PDE模型的暗原色理论雾天 图像增强算法
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《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
39卷
期数:
2015年05期
页码:
544
栏目:
出版日期:
2015-10-31

文章信息/Info

Title:
Enhancement dark channel theory algorithm of fog image based on fourth-order PDE model
作者:
高 银1; 云利军2; 石俊生1; 李成立1
云南师范大学 1.颜色与图像视觉实验室;
2.信息学院,云南 昆明 650500
Author(s):
Gao Yin1; Yun Lijun2; Shi Junsheng1; Li Chengli1
1.Color and Image Vision Lab;
2.College of Information,Yunnan Normal University,Kunming 650500,China
关键词:
图像增强;  四阶偏微分方程模型;  容差机制;  暗原色理论
Keywords:
image enhancement;  fourth-order partial differential equation model;  tolerance mechanism;  dark channel theory
分类号:
TP751; TP391
摘要:
针对经典的暗原色理论算法在处理雾天图像时色调和亮度失真的问题,该文提出一种基于四阶偏微分方程(PDE)模型的暗原色理论雾天图像增强算法。该方法通过容差机制对图像区域进行分割,根据阈值判断明亮和非明亮区; 并引入四阶PDE模型对透射率图像进行平滑处理; 再通过容差机制,实现对透射率图像的精确修正; 最后采用暗原色理论数学模型求取增强后的图像。主观观察和客观评价证明,在整体和细节方面该算法比经典的暗原色算法有更好的处理效果。
Abstract:
To deal with the image hue and brightness distortion problems in the classic dark channel theory algorithm,the enhancement dark channel algorithm of fog image based on the fourth-order partial differential equations(PDE)model is proposed here.According to the threshold,the image is segmented by the tolerance mechanism and distinguishes between bright areas and dark channel areas,the transmission image is smoothed by the introduced fourth-order PDE model,and the image is precisly corrected by the tolerance mechanism.An defogging enhancement image is obtained through the dark channel theory.The subjective observation and objective evaluation show that the algorithm is better than the classic dark channel algorithm in the overall and details.

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备注/Memo

备注/Memo:
收稿日期:2014-12-25 修回日期:2015-03-19
基金项目:国家自然科学基金(60963020); 云南省学术带头人后备人才培养项目(2010CI038); 云南省高校科技创新团队支持计划; 云南师范大学研究生科研创新基金
作者简介:高银(1985-),男,硕士生,主要研究方向:图像复原、增强和融合等,E-mail:yngaoyin@163.com; 通讯作者:云利军(1973-),男 博士,教授,主要研究方向:视频图像处理,E-mail:yunlj@163.com。
引文格式:高银,云利军,石俊生,等.基于四阶PDE模型的暗原色理论雾天图像增强算法[J].南京理工大学学报,2015,39(5):544-549.
投稿网址:http://zrxuebao.njust.edu.cn
DOI:10.14177/j.cnki.32-1397n.2015.39.05.006
更新日期/Last Update: 2015-10-31