Improvement of the Algorithm Based on Dark Channel Prior Defogging

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Luo, Ping^1 ; Ren, Chunwang^1 ; Kang, Jian^1 ; Qing, Zheng^1

chn, chongwen Road^1

关键词: Atmospheric scattering models;    Dark channel priors;    Defogging;    Depth of field;    HSV color spaces;    RGB color space;    Rough estimation;    Rough estimation model;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/2/022045/pdf
DOI  :  10.1088/1755-1315/300/2/022045

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

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.