Open AccessImprovement of the Algorithm Based on Dark Channel Prior Defogging
Author(s) -
Ping Luo,
Chunwang Ren,
Jian Kang,
Zheng Qing
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/2/022045
Subject(s) - transmittance , channel (broadcasting) , hsl and hsv , sky , rgb color model , diffuse sky radiation , scattering , optics , computer science , artificial intelligence , color space , computer vision , physics , image (mathematics) , astrophysics , virus , virology , biology , computer network
The dark channel prior defogging algorithm is a method for rough estimation of transmittance. The dark channel prior method is not obvious enough for the sky. The paper uses a rough estimation model based on the relationship between depth of field and transmittance. A dehazing method that makes the transmittance more refined is proposed on a priori basis. The atmospheric light value is calculated from the atmospheric scattering model, and the image is converted from the RGB color space to the HSV color space and the S (saturation) component is extracted as a supplement to the transmittance. The final transmittance is obtained by the method of transmittance fusion, and a clear image is restored according to the atmospheric scattering model. The experimental results show that the method can effectively eliminate the fog, and the restored image better preserves the image details.