吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (3): 929-933.doi: 10.13229/j.cnki.jdxbgxb201603038

• Orginal Article • Previous Articles     Next Articles

Robust image inpainting algorithm based on isophote

HE Kai, ZHANG Li-ying, GAO Jun-qiao   

  1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
  • Received:2014-12-02 Online:2016-06-20 Published:2016-06-20

Abstract: A robust image inpainting algorithm based on isophote is proposed. In this algorithm, first, the whole image information is obtained using Guided filter to remove texture detail and image noise. Then, the traditional isophote function is improved with the edge stopping function in anisotropic diffusion approach and is combined with the traditional priority function. Finally, using the isophote function to guide inpainting process of the texture, the proposed algorithm obtains robust inpainting effect. Experimental results show that the proposed algorithm can preserve image structure effectively, and obtain relatively ideal inpainting effect in the aspect of texture synthesis with illustration changes.

Key words: information processing, image inpainting, isophote detection, Guided filter, inpainting priority, edge stopping function

CLC Number: 

  • TP391
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