Perception-motivated interpolation of image sequences

Timo Stich, Christian Linz, Christian Wallraven, Douglas Cunningham, Marcus Magnor

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)


We present a method for image interpolation that is able to create high-quality, perceptually convincing transitions between recorded images. By implementing concepts derived from human vision, the problem of a physically correct image interpolation is relaxed to that of image interpolation which is perceived as visually correct by human observers. We find that it suffices to focus on exact edge correspondences, homogeneous regions and coherent motion to compute convincing results. A user study confirms the visual quality of the proposed image interpolation approach. We show how each aspect of our approach increases perceived quality of the result. We compare the results to other methods and assess achievable quality for different types of scenes.

Original languageEnglish
Article number11
JournalACM Transactions on Applied Perception
Issue number2
Publication statusPublished - 2011 Jan
Externally publishedYes


  • Image interpolation
  • Morphing
  • Perception

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Experimental and Cognitive Psychology


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