Multiple Selection Extrapolation for Spatial Error Concealment

Seiler J, Kaup A (2009)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2009

Article Number: 5293572

Event location: Rio De Janeiro BR

ISBN: 9781424444649

URI: https://arxiv.org/abs/2207.06795

DOI: 10.1109/MMSP.2009.5293572

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.

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How to cite

APA:

Seiler, J., & Kaup, A. (2009). Multiple Selection Extrapolation for Spatial Error Concealment. In Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09. Rio De Janeiro, BR.

MLA:

Seiler, Jürgen, and André 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.

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