Error Concealment Method Selection in Texture Images Using Advanced Local Binary Patterns Classifier

  • Želmira Tóthová
  • Jaroslav Polec
  • Tatiana Orgoniková
  • Lenka Krulikovská
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6375)


There are many error concealment techniques for image processing. In the paper, the focus is on restoration of image with missing blocks or macroblocks. In recent years, great attention was dedicated to textures, and specific methods were developed for their processing. Many of them use classification of textures as an integral part. It is also of an advantage to know the texture classification to select the best restoration technique. In the paper, selection based on texture classification with advanced local binary patterns and spatial distribution of dominant patterns is proposed. It is shown, that for classified textures, optimal error concealment method can be selected from predefined ones, resulting then in better restoration.


Error concealment re-synthesis inpainting texture  extrapolation classification 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Želmira Tóthová
    • 1
  • Jaroslav Polec
    • 1
  • Tatiana Orgoniková
    • 1
  • Lenka Krulikovská
    • 1
  1. 1.Department of TelecommunicationsSlovak University of TechnologyBratislavaSlovakia

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