关键词: Criminisi, 马尔科夫随机场（MRF）, 匹配准则, 图像修复

Abstract: The accuracy of traditional image exemplar-inpainting algorithm is lower. This paper proposes a new Criminisi digital inpainting algorithm based on Markov random field (MRF) matching criterion. The MRF becomes new matching criterion instead of Euclidean distance. Before searching the best matching patch, the image texture model based on MRF is built. Then the global energy of the image is calculated to estimate the value of inpainting patch. Finally, the best matching patch is searched in order to achieve the global optimum. The experimental results show that the proposed algorithm achieves impressive inpainted results, the texture error matching rate is decreased, and the inpainting accuracy is improved.

Key words: Criminisi, Markov random field (MRF), matching criterion, image inpainting