Abstract: This paper proposed a new couple of dictionaries which are redundant discrete wavelet transformation and wavelet atomic transformation,and applied it to image sparse morphological component decomposition to get the structure and texture.Then,based on the fact that the structure and texture have different characteristics,it uses curvature driven diffusion model which has curvature driven,edge enhancement and smooth denoising characteristics,and uses Criminisi texture synthesis method to inpaint the structure and texture respectively.At last,they are compounded and the inpainting result is got.The experiment results show that the new method can not only decompose the image very well,but also inpaint the image with strong and fairing edge,complete and clear texture.This method shows better results in image restoration compared to the classical ones.

Key words: Image inpainting,Sparse decomposition,Dictionary,CDD model,Criminisi method