Restoration of Motion Blurred Image based on Improved Inverse Filtering Model

Aiming at the demand of deblurring motion blurred images, a motion blurred image restoration method based on improved inverse filtering model is designed. Preprocess the blurred image; analyze the cause of the motion blurred image, introduce Radon transform and Sobel operator to estimate the displacement angle and displacement distance of the pixel; reconstruct the inverse filter model, add the restoration transfer function, and realize the motion blur image recovery. By comparing with the classic restoration algorithm, it turns out that the image restoration restoration model in this article is more effective.