Single Image Fog Removal Algorithm based on an Improved Dark Channel Prior Method

被引：0
|
作者：
Sun, Chi-Chia [1 ]
Lai, Heng-Chi [1 ]
Sheu, Ming-Hwa [2 ]
Huang, Yi-Hsing [2 ]
机构：
[1] NFU, Dept EE, Huwei, Taiwan
[2] NYUST, Dept EE, Touliu, Yunlin, Taiwan
来源：
2016 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS) | 2016年
关键词：
Fog Remove; Image Restoration; Image Enhancement; Image Dehazing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recently, how to make surveillance cameras running in all weather conditions become a very important research topic. Because surveillance images are often influenced by the weather conditions in a real world. In this paper, a fast single image fog removal algorithm based on an improved dark channel prior method is proposed. Compared to the latest works, the proposed algorithm can increase 28.5% computing speed and 41.8% image contrast ratio. Meanwhile, it can remove fog efficiently without the influence in the night too.
引用
收藏
页码：337 / 340
页数：4
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