Reducing the loss of color and details in single image defogging
Huanjun Hu, Wei Cheng Xie, Liming Wang, Chi Li, Zhigang Tu · 2018
In order to avoid the problem that the color distortion and the details are not obvious, this paper presents an improved defogging algorithm. It uses the dark channel prior to estimate the atmospheric light and the transmission and proposes a new gradient domain filtering to refine the transmission. Then, the intensity compensation is used to enhance the image color information. At the same time, the atmospheric light value is estimated and boundary constrains is used to roughly estimate the transmission, and, weights is added to define the transmission. So the scene transmission of both is refined, the image is reduced by atmospheric scattering model and two images are fused with the fusion strategy. The fusion of image uses the auto white balance to fine tune to get the final image. According to the experimental results, the algorithm effectively solves the problem of color distortion and loss of detail information in the defog image.