Single Image Haze Removal Using Single Pixel Approach Based on Dark Channel Prior with Fast Filtering

Author(s):  
Sung Yong Jo ◽  
Jeongmok Ha ◽  
Hong Jeong
2019 ◽  
Vol 20 (8) ◽  
pp. 1109-1118 ◽  
Author(s):  
Bo-xuan Yue ◽  
Kang-ling Liu ◽  
Zi-yang Wang ◽  
Jun Liang

2014 ◽  
Vol 543-547 ◽  
pp. 2480-2483
Author(s):  
Jing Zhang ◽  
Wei Dong ◽  
Juan Li ◽  
Xu Ning Liu

In this paper, we propose an adaptive template method based on the dark channel prior. The method combines with the haze imaging model to haze removal for a single image. This method can effectively remove haze from a single input image. According to the characteristics of the image itself and the haze removal effect of the different template we divide the input image into flat region, edge region and texture region. Then, select the lager size template dispose the flat region and use midrange or minitype template dispose the edge region and texture area. Experimental results demonstrate that the proposed algorithm has very good performance for fog removal and retains the image details more effectively.


2018 ◽  
Vol 12 (6) ◽  
pp. 1049-1055 ◽  
Author(s):  
Libao Zhang ◽  
Shiyi Wang ◽  
Xiaohan Wang

2014 ◽  
Vol 11 (24) ◽  
pp. 20141002-20141002 ◽  
Author(s):  
Zhengfa Liang ◽  
Hengzhu Liu ◽  
Botao Zhang ◽  
Benzhang Wang

2011 ◽  
Vol 33 (12) ◽  
pp. 2341-2353 ◽  
Author(s):  
Kaiming He ◽  
Jian Sun ◽  
Xiaoou Tang

Sign in / Sign up

Export Citation Format

Share Document