Single-image defogging is widely used in outdoor optical image acquisition equipment.To solve the problems of incomplete defogging and color bias of the existing methods,an image defogging algorithm based on Gaussian model and adaptive atmospheric light curtain is proposed.Firstly,the low-frequency components of the foggy image are separated by discrete cosine transformation,and then the linear relationship between the low-frequency components and the atmospheric light curtain and the Gaussian function are used to establish an adaptive atmospheric light curtain acquisition model to obtain the initial atmospheric light curtain.Then,an optimization function with unknown parameters is constructed by using Gamma correction,and the average saturation prior is applied to the atmospheric scattering model,and the final adaptive atmospheric light curtain is obtained.Finally,a clear fog-free image is obtained by using the atmospheric scattering model.The experiments show that,compared with several classical and advanced algorithms,the proposed algorithm has stronger versatility and is superior to other comparison algorithms on several indicators in objective evaluation,and the restoration results are clearer with natural color.