Multiple Selection Extrapolation for Spatial Error Concealment

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Seiler J, Kaup A
Publication year: 2009
ISBN: 9781424444649


Abstract


This contribution introduces a novel signal extrapolation algorithm and its application to image error concealment. The signal extrapolation is carried out by iteratively generating a model of the signal suffering from distortion. Thereby, the model results from a weighted superposition of two-dimensional basis functions whereas in every iteration step a set of these is selected and the approximation residual is projected onto the subspace they span. The algorithm is an improvement to the Frequency Selective Extrapolation that has proven to be an effective method for concealing lost or distorted image regions. Compared to this algorithm, the novel algorithm is able to reduce the processing time by a factor larger than three, by still preserving the very high extrapolation quality. © 2009 IEEE.



FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Seiler, J., & Kaup, A. (2009). Multiple Selection Extrapolation for Spatial Error Concealment. Rio De Janeiro, BR.

MLA:
Seiler, Jürgen, and Andre Kaup. "Multiple Selection Extrapolation for Spatial Error Concealment." Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09, Rio De Janeiro 2009.

BibTeX: 

Last updated on 2018-17-12 at 13:50