Open AccessImage Haze Removal Using Dark Channel Prior based on Guided Image
Author(s) -
Long Tang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/787/1/012006
Subject(s) - haze , artificial intelligence , computer vision , image (mathematics) , computer science , channel (broadcasting) , image restoration , interference (communication) , process (computing) , image quality , remote sensing , image processing , geography , telecommunications , meteorology , operating system
In foggy weather, the interference of fog has a serious impact on the accurate monitoring of vehicle targets. To address this problem, this paper proposed a method which is image haze removal based on the guided image. In the process of this method, the clear images are as the guide images, which is designed to effectively redress the bright region which is not meet the dark color prior by the prior information of the guide image, to avoided the error estimates of this kind of area of transmissivity. Experimental results demonstrate that our method achieves significant improvement in both image quality and image detail when compared with classical image haze removal method.