Abstract: Blur is one of the main factors of image degradation. Image deblurring has always been an important subject in the field of computer vision and image processing, and is widely used in security, criminal investigation, transportation, finance, medical imaging and other fields. First, the traditional deblurring algorithm and its problems were explained. Then, on the basis of this, the existing deep learning-based image deblurring methods were reviewed and the advantages and disadvantages of the algorithms were analyzed. Finally, combined with the latest research results, the future development direction of image deblurring was proposed.