A Survey Of Image Inpainting

Digital image inpainting,which is a hot issue in the field of image processing,is mainly used to inpaint damaged images or remove of objects or words in images with some mathematical models to achieve special goals.In this thesis, the background of the research, the significance and the present situation of image inpainting are firstly introduced. Then, we focus on some of PDE-based image inpainting models: BSCB model,TV inpainting, Mumford-Shah-Euler inpainting, CDD model,which have good inpainting effects for those damaged in some small blocks. Thereafter, we analyse Split Bregman method in detail and present its two applications.For using the curvature term in the process of image inpainting with CDD model, a large number of iterations to solve the high order PDEgreatly lowers the speed of inpainting.To speed up the algorithm, a Split Bregman method ,which is operated faster and good for solving L1 regularization problems, is introduced to the CDD model. The experiments show that our new algorithm is much faster and with better vision effects.Finally,this thesis introduces the inpainting models based on texture synthesis,which have good inpainting effect on large damaged blocks. Texture synthesis methods by non-parametric sampling and based on priority are studied respectively.