Image inpainting based on image segmentation

Removing a target object and Ailing the missing regions of an image is the key technology generally applied to image restoration. In this paper, we propose a novel algorithm for exemplar-based image inpainting. By using segmentation-based searching strategy and redefined priority function, this algorithm can solve the problems that would occur in large area´s filling. Experimental results show that this improved method can efficiently handle different cases, especially the large regions in complex background.