Image motion blurring restoration of joint gradient prediction and guided filter

To modify the image motion blurring induced by the relative position motion between a camera and a subject,a robust blind deconvolution method based on single image motion blurring was proposed. Firstly,the strong edges of a latent image was predicted. By constraining image gradient,the point spread function in frequency domain was estimated fast and robustly by this method. After that,the non-blind deconvolution algorithm based on the gradient constrain was used to restore the latent image. Meanwhile,a new edge preserving filter-guided filter was used to suppress the ringing and noise. Experiments show that the proposed method can restore a high quality image with clear edges and tissues from single motion blurring image,and the operation time is less than 20 s.