Open AccessHaze removal for a single inland waterway image using sky segmentation and dark channel prior
Author(s) -
Liu Wei,
Chen Xianqiao,
Chu Xiumin,
Wu Yirong,
Lv Jingwen
Publication year - 2016
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2016.0308
Subject(s) - haze , sky , visibility , channel (broadcasting) , artificial intelligence , segmentation , computer science , diffuse sky radiation , computer vision , image segmentation , remote sensing , environmental science , geology , geography , meteorology , optics , physics , telecommunications , scattering
Haze significantly degrades the visibility for ship navigation and traffic monitoring in China's inland waterways. In this study, the authors propose a novel haze‐removal method based on sky segmentation and dark channel prior to restore images. Sky segmentation is accomplished by using robust image matting and region growth algorithms. Then, the average image intensity of the sky region is chosen as the atmospheric light value to address the defect of dark channel prior. Experimental results show that their method can restore inland waterway images effectively; restored images are more natural and smoother than those obtained by the state‐of‐the‐art haze removal algorithms.