Single Image Dehazing Based on Deep Neural Network

被引：7

作者：

Huang, Dewei ^{[1
]}

Chen, Kexin ^{[1
]}

Wang, Weixing ^{[1
,2
,3
]}

Lu, Jianqiang ^{[1
,2
,3
]}

机构：

[1] South China Agr Univ, Coll Elect Engn, Guangzhou, Guangdong, Peoples R China

[2] Guangdong Engn Res Ctr Monitoring Agr Informat, Guangzhou, Guangdong, Peoples R China

[3] Sci & Technol Program Guangzhou, Guangzhou, Guangdong, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON COMPUTER NETWORK, ELECTRONIC AND AUTOMATION (ICCNEA) | 2017年

关键词：

Dehazing; Deep neural network; Imagedepth map; ALGORITHM;

D O I：

10.1109/ICCNEA.2017.107

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a single image dehazing based on deep neural network that is to deal with haze image. In this paper, we build up a deep neural network to restore the hazy image. We test our method both objective and subjective and compare with classical method for dehazing. Our test shows that our method works better than the others in reducing Halo effect and also our method does well in restore colorful of input image. Finally, our method process faster.

引用

页码：294 / 299

页数：6

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