Digital image inpainting by example-based image synthesis method

Dongdong Nie, Lizhuang Ma, Shuangjiu Xiao

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A simple and effective image inpainting method is proposed in this paper, which is proved to be suitable for different kinds of target regions with shapes from little scraps to large unseemly objects in a wide range of images. It is an important improvement upon the traditional image inpainting techniques. By introducing a new bijective-mapping term into the matching cost function, the artificial repetition problem in the final inpainting image is practically solved. In addition, by adopting an inpainting error map, not only the target pixels are refined gradually during the inpainting process but also the overlapped target patches are combined more seamlessly than previous method. Finally, the inpainting time is dramatically decreased by using a new acceleration method in the matching process.

Original languageEnglish
Pages (from-to)276-282
Number of pages7
JournalHigh Technology Letters
Volume12
Issue number3
StatePublished - Sep 2006
Externally publishedYes

Keywords

  • Diffusion
  • Example patch
  • Image synthesis
  • Inpainting
  • Isophote
  • Matching cost function
  • Prority
  • Texture synthesis

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