In order to better remove the fog in the scene,an adaptive transmissi on fusion algorithm based on wavelet transform is proposed to process the distant part and the close part of the image separately,and they are effectively combined.Firstly,based on the principle of foggy imaging,a quadra tic attenuation model is constructed to estimate the transmission of the distant and close field,and the n the wavelet transform is performed,and the obtained low frequency information is weighted and fused by a n adaptive Gaussian function, and the high frequency information is fused using the minimum selection rules to reduce the texture effect;and then The optimal solution of the transmission is obtained by inverse wavelet tra nsform; Finally,a clear fog removal image is restored by combining the atmospheric scattering model with the improved atmospheric light value.Experimental results show that the method can effectively improve the def inition of foggy scenes. Compared with the existing algorithms,our method has accurate color reproductio n for sky regions,and relatively low time complexity.