Frequency selective extrapolation with residual filtering for image error concealment

Koloda J, Seiler J, Kaup A, Sanchez V, Peinado A (2014)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 1995-1999

Article Number: 6853944

Event location: Florence IT

ISBN: 9781479928927

DOI: 10.1109/ICASSP.2014.6853944

Abstract

The purpose of signal extrapolation is to estimate unknown signal parts from known samples. This task is especially important for error concealment in image and video communication. For obtaining a high quality reconstruction, assumptions have to be made about the underlying signal in order to solve this underdetermined problem. Among existent reconstruction algorithms, frequency selective extrapolation (FSE) achieves high performance by assuming that image signals can be sparsely represented in the frequency domain. However, FSE does not take into account the low-pass behaviour of natural images. In this paper, we propose a modified FSE that takes this prior knowledge into account for the modelling, yielding significant PSNR gains. © 2014 IEEE.

Authors with CRIS profile

Jan Koloda Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Koloda, J., Seiler, J., Kaup, A., Sanchez, V., & Peinado, A. (2014). Frequency selective extrapolation with residual filtering for image error concealment. In Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (pp. 1995-1999). Florence, IT: Institute of Electrical and Electronics Engineers Inc..

MLA:

Koloda, Jan, et al. "Frequency selective extrapolation with residual filtering for image error concealment." Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence Institute of Electrical and Electronics Engineers Inc., 2014. 1995-1999.

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