A multi-scale image inpainting algorithm based on GMRF model

  • Authors:
  • Rui Wang;Dongbing Gu;Guangwen Liu;Junxi Sun

  • Affiliations:
  • School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, China;School of Compute Science and Electronic Engineering, University of Essex, Colchester, UK;School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, China;School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, China

  • Venue:
  • ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
  • Year:
  • 2009

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Abstract

A novel approach to image inpainting is introduced in this paper. The novelty lies in the combination of the MRF inpainting technique and a multiscale information fusion mechanism. This combination uses both local information via the MRF technique and global information via the multi-scale mechanism to improve the image inpainting quality. The proposed algorithm consists of three steps. In the first step, the image to be inpainted is decomposed into multiple levels via a multi-scale decomposition. In the second step, the image of each level is inpainted based on the MRF model. Finally, the multi-scale inpainting results of all levels with different scales are fused. The experimental results show that the proposal inpainting algorithm achieves fairly good results.