Maritime image defogging algorithm for maritime management promotion in sea fog environment

Abstract

Maritime vision system is an important part of the shipping industry. In a sea fog environment, the images collected by the imaging equipment are blurred, seriously affecting the stability of the maritime vision system and reducing the efficiency of maritime management. Most of the existing image defogging algorithms are aimed at shore scenes, so it is of great significance to study maritime image defogging algorithms. This paper proposes a simple and effective defogging algorithm for maritime images to solve the shortcomings of existing algorithms in ocean scenes. We propose a transmission estimation method based on the variogram function, which can accurately obtain the transmission of different brightness parts of the image. To refine the transmission and atmospheric light, we employ the weighted guided filtering and quadtree search method to facilitate the defogging effect. Experimental results show that this algorithm can effectively improve the color distortion phenomenon in the sky area of the image and has a better image-defogging effect. It is also better than other comparison algorithms in subjective and objective evaluation.