To solve the problem of edge blurring and color distortion of license plate images taken in foggy weather，an end-to-end depth multilevel wavelet U-Net based algorithm for license plate fog image removal is pre? sented. Taking MWCNN as the main frame work of the defogging network，the feature information in the wavelet do? main is integrated using the“SOS”enhancement strategy and the cross-layer connection between the codec. The pixel-channel joint attention block of the discrete wavelet transform is used to reduce the fog residue in the defrosted license plate image.In addition，the cross-scale aggregation enhancement blocks are used to supplement the missing spatial domain image information in the wavelet domain image，which further improves the quality of the defogging li? cense plate image.The simulation results show that the network has obvious advantages in structural similarity and peak signal-to-noise ratio，and it performs well in dealing with the composite plate fog image and the actual photo? graphed plate fog image.