Abstract: In order to solve the problem of global and local defocused blur of target image, a fast blind restoration method based on self-adaptive blur map estimation is proposed. Firstly, according to the continuity of image edges in the scale space, the re-blur amount matrix is chosen self-adaptively, and the defocused blur target image is re-blurred. Then, the sparse blur map is calculated by the difference ratio in edges between blur and re-blur images, and the blur map is obtained by guided filtering. Finally, the physical relationship between the blur map and defocused target image is established based on the optics focal model, and the defocused blur image is restored quickly. The experimental results show that the proposed method can effectively restore the defocused blur target image and enhance the edge features of the target image, which has great advantages in algorithm operation efficiency and avoids the high time consumption of the iterative algorithm, and is suitable for practical industrial applications.

Key words: image blind restoration, defocused blur, self-adaption, blur map, edge features