An Improved Image Dehazing Algorithm Based on Dark Channel Prior

被引：0
|
作者：
Liu, Jiajie [1 ]
Zheng, Jieying [1 ]
Cui, Ziguan [2 ]
Tang, Guijin [2 ]
Liu, Feng [2 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Jiangsu Prov Key Lab Image Proc & Image Commun, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Minist Educ, Key Lab Broadband Wireless Commun & Sensor Networ, Nanjing, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF 2014 IEEE WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS (WARTIA) | 2014年
关键词：
dark channel prior; global atmospheric light; transmission; blind image quality assessment method;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Image dehazing algorithm based on dark channel prior has been proved to be effective, but it cannot still guarantee accurate transmission. To solve this problem, we firstly propose a more reasonable estimation of atmospheric light, because bias in the atmospheric light estimation will cause an inaccurate transmission. Secondly, we improve the estimation of transmission in bright area so as to alleviate color distortion. After image recovery, we carry out denoising to improve the image quality. Finally, we use a blind image quality assessment method based on property of Human Visual System, and the experimental results show that this improved algorithm is more effective.
引用
收藏
页码：1401 / 1404
页数：4
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