Abstract: The wavelet transform technology has been widely used in the field of digital image inpainting,however,the image inpainting based on wavelet transform will appear the phenomenon of edge fuzzy and not connection,which becomes a difficult problem.Based on the multiscale and multidirectional decomposition and the traditional method of ima-ge inpainting,a new algorithm of image inpainting based on dual-tree complex wavelet transform was proposed.Firstly,the image is decomposed into low frequency and high frequency parts by using the dual-tree complex wavelet transform.Then the parts of different frequency after image decomposition are inpainted respectively.The high frequency components of the image are inpainted by the total variation model,and an improved curvature-driven-diffusion is used to repair the low frequency components.Finally,the final image is obtained by dual-tree complex wavelet transform reconstruction process.The experimental results show that the proposed algorithm is very good for the promotion of the dual-tree complex wavelet transform in image inpainting application and gets better repair both in the part of texture and the part of structure.

Key words: Image inpainting,Dual-tree complex wavelet,Multi-scale decomposiyion,Total variation model,Curvature-driven-diffusions