Spatial error concealment of corrupted image data using frequency selective extrapolation

Meisinger K, Kaup A (2004)


Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2004

Book Volume: 3

Pages Range: 209-212

Event location: Montreal, Que CA

DOI: 10.1109/ICASSP.2004.1326518

Abstract

This paper introduces a method for spatial error concealment of lost image data in erroneous image transmission. The image content of the correctly received surrounding blocks is successively approximated by a weighted linear combination of basis functions and the missing block is obtained by extrapolation. An implementation in the frequency domain allows an efficient realization. Investigations show that particularly 2D DFT basis functions are suited for the signal extrapolation in order to be able to reconstruct both monotone areas and edges.

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How to cite

APA:

Meisinger, K., & Kaup, A. (2004). Spatial error concealment of corrupted image data using frequency selective extrapolation. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 209-212). Montreal, Que, CA.

MLA:

Meisinger, Katrin, and André Kaup. "Spatial error concealment of corrupted image data using frequency selective extrapolation." Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, Que 2004. 209-212.

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