Single-scale Retinex Sea Fog Removal Algorithm Fused the Edge Information

In view of sea fog can lead to the quality decreasing of video image for USV, and affect the detection, tracking, and recognition of targets, a kind of fast single-scale Retinex sea fog removal algorithm fused the edge information was discussed. Firstly, on the basis of traditional single-scale Retinex defogging model, and integrating idea of guided filter, Gaussian filter combined with the edge information was used to estimate the brightness component; then, the original intensity component was lead into the reflection component, so that the estimation of the reflection component was improved so well; and then, combining with the segmented gray scale transform, the contrast of the image was extended; lastly, the color was restored and the rapid sea fog defogging was achieved. Compared with other defogging algorithms from two aspects of subjective and objective, the quality of processed images was evaluated, the simulation experimental results show that proposal algorithm can reduce the halo and noise effectively, defogging is fast and the effect of keeping the edge is good, the effect of defogging is obvious.