Wavelet-based inpainting for object removal from image series

  • Authors:
  • Sebastian Vetter;Marcin Grzegorzek;Dietrich Paulus

  • Affiliations:
  • Institute for Computational Visualistics, University of Koblenz-Landau, Koblenz, Germany;Institute for Computational Visualistics, University of Koblenz-Landau, Koblenz, Germany;Institute for Computational Visualistics, University of Koblenz-Landau, Koblenz, Germany

  • Venue:
  • Proceedings of the 32nd DAGM conference on Pattern recognition
  • Year:
  • 2010

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Abstract

We propose several algorithmic extensions to inpainting that have been proposed to the spatial domain by other authors and apply them to an inpainting technique in the wavelet domain. We also introduce a new merging stage. We show how these techniques can be used to remove large objects in complex outdoor scenes automatically. We evaluate our approach quantitatively against the aforementioned inpainting methods and show that our extensions measurably increase the inpainting quality.