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

页码：337 / 340

页数：4

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