Error concealment method selection in texture images using advanced local binary patterns classifier

Authors:
Želmira Tóthová;Jaroslav Polec;Tatiana Orgoniková;Lenka Krulikovská
Affiliations:
Department of Telecommunications, Slovak University of Technology, Bratislava, Slovakia;Department of Telecommunications, Slovak University of Technology, Bratislava, Slovakia;Department of Telecommunications, Slovak University of Technology, Bratislava, Slovakia;Department of Telecommunications, Slovak University of Technology, Bratislava, Slovakia
Venue:
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Year:
2010

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Abstract

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.