Aiming at the image motion blur caused by lens jitter,target movement and other factors,an infrared image deblurring algorithm based on fuzzy operator is proposed in this paper. The deep self coding network is used to encode the fuzzy operator in the dataset,the encoded fuzzy operator is used to approximate unknown fuzzy operator and search for the corresponding clear image,thusthe infrared image deblurring in the real scene is realized,which makes up for the deficiencies of the existing image deblurring model based on deep learning in the cross domain application of the motion blurred image in the real scene. The experimental results on infrared blurred images show that compared with other deblurring algorithms,the proposed deblurring algorithm achieves higher performance,and the recovered images have clear edges and local details,significantly improving the clarity of infrared images.