An effective fusion defogging approach for single sea fog image

In order to improve the visibility of sea fog images of the unmanned surface vessel visual system, we present a novel defogging algorithm based on a fusion strategy. Main steps of the algorithm are as follows. First, the first input image of the fusion process is obtained via a simple linear transformation. Second, an improved high-boost filtering algorithm based on guided image filtering is proposed to obtain the second input image of the fusion process. Third, a simple fusion method is used to fuse the above two input images. The final defogging result is obtained by a simple white balance process. The experimental results show that our proposed algorithm not only greatly enhances the visibility of sea fog image, but also has high computational efficiency.