Abstract: In fog images with the influence of light sources, the light source can easily introduce halo that does not exist in foggy days, which will affect the accuracy of atmospheric light value and transmittance estimation. To solve this problem, a simple and easy dehazing algorithm is proposed to dehaze fog images affected by light sources. First-ly, the light source area is determined in CIELab color space based on super pixel segmentation. Then the light attenuation factor based on distance measurement is introduced to eliminate the influence of light sources. Fi-nally atmospheric light value is estimated in the unit of superpixel block, and weighted guidance filtering is used to iteratively optimize the transmittance to obtain the dehazing result map under the influence of light sources, which improves the efficiency and accuracy. The restoration experiment is carried out on the SOTS dataset and images affected by light sources. Comparing with existing mainstream algorithms subjectively and objectively, the restoration results of the proposed algorithm has lower NIQE and BRISQUE value. And these results have the advantages of high definition, low noise, rich texture details and high color restoration.