Spatio-temporal error concealment in video by denoised temporal extrapolation refinement

Seiler J, Schöberl M, Kaup A (2013)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2013

Pages Range: 1613-1616

Article Number: 6738332

Event location: Melbourne AU

ISBN: 9781479923410

URI: https://arxiv.org/abs/2207.03774

DOI: 10.1109/ICIP.2013.6738332

Abstract

In video communication, the concealment of distortions caused by transmission errors is important for allowing for a pleasant visual quality and for reducing error propagation. In this article, Denoised Temporal Extrapolation Refinement is introduced as a novel spatiotemporal error concealment algorithm. The algorithm operates in two steps. First, temporal error concealment is used for obtaining an initial estimate. Afterwards, a spatial denoising algorithm is used for reducing the imperfectness of the temporal extrapolation. For this, Non-Local Means denoising is used which is extended by a spiral scan processing order and is improved by an adaptation step for taking the preliminary temporal extrapolation into account. In doing so, a spatio-temporal error concealment results. By making use of the refinement, a visually noticeable average gain of 1 dB over pure temporal error concealment is possible. With this, the algorithm also is able to clearly outperform other spatio-temporal error concealment algorithms. © 2013 IEEE.

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How to cite

APA:

Seiler, J., Schöberl, M., & Kaup, A. (2013). Spatio-temporal error concealment in video by denoised temporal extrapolation refinement. In Proceedings of the 2013 20th IEEE International Conference on Image Processing, ICIP 2013 (pp. 1613-1616). Melbourne, AU.

MLA:

Seiler, Jürgen, Michael Schöberl, and André Kaup. "Spatio-temporal error concealment in video by denoised temporal extrapolation refinement." Proceedings of the 2013 20th IEEE International Conference on Image Processing, ICIP 2013, Melbourne 2013. 1613-1616.

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