Image inpainting based on anisotropic MRF model

Renxi Chen; Xinhui Li; Shengyang Li

doi:10.1117/12.832003

30 October 2009 Image inpainting based on anisotropic MRF model

Renxi Chen, Xinhui Li, Shengyang Li

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749846 (2009) https://doi.org/10.1117/12.832003
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

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.

Citation Download Citation

Renxi Chen, Xinhui Li, and Shengyang Li "Image inpainting based on anisotropic MRF model", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749846 (30 October 2009); https://doi.org/10.1117/12.832003

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