Research on Motion Blur Image Restoration Algorithm Based on Improved Wiener Filter

The image is often distorted during the shooting process, for example, the train is blurred due to motion and accompanied by some Gaussian noise, salt and pepper noise, etc. In this paper, an improved Wiener filter algorithm is proposed for the blur phenomenon caused by the camera in the movement process. First, the optimal k value is obtained through the quadratic wiener filter, and then the problem of boundary ringing in the image restoration process is proposed. The continuation sigmoid window and ratio method are used to suppress boundary ringing. Finally, simulations and experiments verify the effectiveness of the proposed algorithm.