Wavelet-Based Inpainting for Object Removal from Image Series

  • Sebastian Vetter
  • Marcin Grzegorzek
  • Dietrich Paulus
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6376)


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.


Wavelet Domain Binary Mask Texture Synthesis Mixed Approach Image Inpainting 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sebastian Vetter
    • 1
  • Marcin Grzegorzek
    • 1
  • Dietrich Paulus
    • 1
  1. 1.Active Vision Group, Institute for Computational VisualisticsUniversity of Koblenz-LandauKoblenzGermany

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