Similarity Based Image Inpainting Method
Dongdong Nie, Lizhuang Ma, Shuangjiu Xiao · 2006
A similarity based image inpainting method is introduced in this paper, which can be used to automatically fill the regions needing to be erased by using the surrounding information in the image. The method is based on analyzing the previous image inpainting methods, especially improving the method proposed by Criminisi et al. In our method, a more robust method is adopted to compute the filling order, which overcome the problem arising when the image gradients of some pixels on the source region contour are just zeros. And a new mapping term is proposed in computing the matching cost to penalize the source regions repeatedly sampled, which practically avoid the artificial repetition problem in the inpainted results.