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In video communication, the concealment of distortions caused by transmissionerrors is important for allowing for a pleasant visual quality and for reducingerror propagation. In this article, Denoised Temporal Extrapolation Refinementis introduced as a novel spatiotemporal error concealment algorithm. Thealgorithm operates in two steps. First, temporal error concealment is used forobtaining an initial estimate. Afterwards, a spatial denoising algorithm isused for reducing the imperfectness of the temporal extrapolation. For this,Non-Local Means denoising is used which is extended by a spiral scan processingorder and is improved by an adaptation step for taking the preliminary temporalextrapolation into account. In doing so, a spatio-temporal error concealmentresults. By making use of the refinement, a visually noticeable average gain of1 dB over pure temporal error concealment is possible. With this, the algorithmalso is able to clearly outperform other spatio-temporal error concealmentalgorithms.

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