Abstract: Image inpainting has been widely used in practice to repair damaged/missing pixels of given images．Most of the existing inpainting techniques require knowing priori information of pixels．However,in certain applications,such information neither is available nor can be reliably pre-detected．This paper introduced a blind inpainting model to solve this type of problems．A tight frame based regularization approach was developed for such blind inpainting problems.And the resulted minimization problem is solved by the split Bregman algorithm．The experiments show that our method is efficient in image inpainting．

Key words: Image inpainting,Sparse approximation,Split bregman algorithm,Wavelet frame