In order to solve the problems of halo effect and detail loss in foggy image enhancement by traditional defogging algorithm, a variational Retinex model based on structure and texture awareness is proposed. The initial illumination component is estimated by guided filter; An improved average local deviation filter is used for image structure and texture awareness, and a weight matrix is designed to improve the variational Retinex model to optimize the illumination component; The inversion image and Retinex theory are used to enhance the fog image; Gamma correction is used to adjust the color of the image. Experiments show that this method can effectively remove the fog in the image, avoid the halo effect, and retain more details.