Exemplar-Based Image Inpainting Using Structure Consistent Patch Matching

Image inpainting reconstructs lost or deteriorated parts of images according to the information of surrounding regions. Criminisi has proposed an effective exemplar-based inpainting algorithm, which has the advantages of both texture synthesis and diffusion-based inpainting. Yet, it has its own flaws of fast priority dropping and visual inconsistency. In this paper, we propose a space varying updating strategy for the confidence term to improve the filling priority estimation and a structure consistent patch matching to take the difference distribution of source and target patches into account. Experimental results have demonstrated the improvement of our proposed method.