Optimization of perspective distortion for image completion based on the large displacement view

Chun Xiao Liu, Qun Sheng Peng, Ying Zhen Yang, Jin Wang, Wei Chen

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We present a new image completion method based on a large displacement view (LDV) for faithfully repairing large missing regions on the target image with complex structure information. A coarse-to-fine distortion correction algorithm is proposed to minimize the perspective distortion in the LDV image, which performs following three steps in order, i.e. homography based LDV warping, energy optimization of overlap correspondences and energy optimization for hole filling. Then, the rectified LDV image is used to restore the missing pixels. We finally eliminate the ghost effect between the repaired region and its surroundings by Poisson image blending. Experiments show that our method outperforms recent state-of-the-art image completion methods.

Original languageEnglish (US)
Pages (from-to)112-117
Number of pages6
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume37
Issue numberSUPPL.
StatePublished - Apr 2009
Externally publishedYes

Keywords

  • Energy optimization
  • Image completion
  • Large displacement view
  • Perspective distortion

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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