Improved dark channel prior image dehazing algorithm based on wavelength compensation

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Chen, Zhixiang^1^2 ; Ou, Binna^1^2 ; Tian, Qianyi^1^2

Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Fujian Zhangzhou, China^1

College of Computer, Minnan Normal University, Fujian Zhangzhou, China^2

关键词: Atmospheric scattering models;    Color distortions;    Dark channel priors;    Image defogging algorithms;    Median filtering;    Optical attenuation;    Processing effects;    Revised parameters;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/2/022027/pdf
DOI  :  10.1088/1755-1315/310/2/022027

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

For the dark channel prior image dehazing algorithm to defog the foggy image with the same transmittance, the recovery result will have a more serious color shift problem. An image defogging algorithm based on different color wavelength compensation is proposed. Firstly, the median dark channel map is obtained by the median filtering method, and then the optical attenuation coefficients of different wavelengths are calculated to obtain the transmittance of Red-Green-Blue (RGB) three channels. Finally, the revised parameters are substituted into the atmospheric scattering model to restore the fog-free image. The experimental results show that the foggy image containing bright areas such as the sky have a good processing effect, which significantly reduces the color distortion of the bright area, and the image is clearer and more natural.