English

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

Image and Video Processing 2022-07-11 v1

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.

Keywords

Cite

@article{arxiv.2207.03774,
  title  = {Spatio-temporal error concealment in video by denoised temporal extrapolation refinement},
  author = {Jürgen Seiler and Michael Schöberl and André Kaup},
  journal= {arXiv preprint arXiv:2207.03774},
  year   = {2022}
}
R2 v1 2026-06-24T12:18:27.474Z