An Image Dehazing Algorithm Based on Adaptive Correction and Red Dark Channel Prior

The dark channel prior defogging algorithm is one of the most representative image defogging algorithms. However, the restored images have problems such as halo effect, color distortion and so on. In view of the above problems, we proposes a method based on the red channel prior algorithm to estimate the transmission maps of different color channels. After defogging, it will reduce the brightness and contrast of the image, resulting in the loss of detail information. Therefore, this paper uses gamma function on the defogged image to performs color compensation and optimazes the detailed information of the image. The algorithm proposed in this article is used in the contrast experiment with other defogging algorithms, and the experimental results are evaluated objectively based on the information entropy and other parameters. Through experimental comparison, our algorithm compared to the dark channel prior defogging algorithm to obtain a clearer image defogging image, and the subjective vision is more consistent with the real scene.