A depth-guided inpainting scheme based on foreground depth-layer removal for high quality 2d to 3d video conversion

Jangwon Choi, Yoonsik Choe, Yong Goo Kim

Research output: Contribution to journalArticlepeer-review


This letter proposes a novel depth-guided inpainting scheme for the high quality hole-filling in 2D-to-3D video conversion. The proposed scheme detects and removes foreground depth layers in an image patch, enabling appropriate patch formation using only disoccluded background information. This background only patch formation helps to avoid the propagation of wrong depths over hole area, and thus improve the overall quality of converted 3D video experience. Experimental results demonstrate the proposed scheme provides visually much more pleasing inpainting results with better preserved object edges compared to the stateof-the-art depth-guided inpainting schemes.

Original languageEnglish
Pages (from-to)2483-2486
Number of pages4
JournalIEICE Transactions on Information and Systems
Issue number11
Publication statusPublished - 2013 Nov

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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