关键词: 图像修复, 整体变分（TV）, 曲率驱动扩散（CDD）模型, 分层修复算法, 纹理合成, 最小均方误差（MSE）

Abstract: Although the Total Variation（TV） model is good at maintaining the edge of damaged images and reducing numerical calculation in image inpainting，it needs more improvement in the vision connectivity.A new image multi-level-inpainting method based on TV model and texture synthesis is proposed.The TV model is used to restore the shape information of missing area in an image.The inpainting result visual connectivity is improved by the CDD model.To the large texture area of the inpainted image，the patch based texture restoration model is used to process the obvious trace insulted from two previous levels inpainting.Experimental results show that the inpainting performance is better both in the structure and the texture.Moreover，the approach can be used in the image inpainting with bigger damaged area.

Key words: image inpainting, Total Variation（TV）, Curvature Driven Diffusions（CDD） model, multi-level inpainting, texture synthesis, Mean Square Errors（MSE）