Image inpainting based on anisotropic MRF model

Renxi Chen, Xinhui Li, Shengyang Li · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009

The goal of image inpainting is to restore the damaged or missing pixels on images and it is an active research topic in image engineering. In order to restore narrow gaps on damaged images, we propose a type of anisotropic inpainting model based on Markov Random Fields. The inpainting model can preserve the edges and orientational texture. We implement our method using Simulated Annealing algorithm. Experiments show that the proposed method can obtain satisfying results and is practical in applications.

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