Robust exemplar-based inpainting algorithm using region segmentation

This paper proposes a robust exemplar-based image inpainting algorithm using region segmentation. Exemplar-based inpainting methods iteratively search the source region and fill the missing or damaged region, i.e., target region, with the most similar patch in the source region. The proposed method uses segmentation map to improve the performance of robust inpainting, in which a segmentation method is used to utilize spatial information in the source region. With the segmentation map, the proposed method automatically selects parameter values of the robust priority function, adaptively determines patch size, and reduces search region. Experimental results with a number of test images show the effectiveness of the proposed method.