A transmission line image defogging algorithm based on improved transmission estimation and color bias correction

Abstract

UAV inspection of overhead transmission lines is a common means for power grid companies to conduct defect detection, but in bad weather, the performance of the target detection algorithm deployed on the onboard equipment often decreases significantly. Based on the classical atmospheric light scattering model, the atmospheric light estimation is first done more accurately by separating the sky area. In terms of transmission estimation, the synthetic transmission is estimated from comprehensive information loss and image texture information weighting, and finally the color bias is corrected to realize the target image fog processing. The experimental results show that the proposed algorithm can significantly improve the clarity of transmission line images in foggy environment.