Aiming at the problems of edge loss and color distortion in the process of dehazing,a multiple dehazing network based on structure-texture decomposition is proposed.According to the theory of image decomposition,the haze image is divided into structure layer and texture layer.Structure layer image contains most haze and structure information,a deep network is used for dehazing.The texture layer image contains detailed information such as texture edges,a shallow network is used to enrich the texture information.The network uses multi-scale convolution to improve the robustness of the feature map,and jump connection to reduce the number of parameters of the operation.To avoid color distortion caused by error in image reconstruction,the color visibility recovery module is used for color compensation.The experimental results show that the proposed algorithm promotes the restoration of edge details,retains the original image color, and performs well in objective indicators and visual effects.