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

: Seiler, Jürgen; Schöberl, Michael; Kaup, André


IEEE Signal Processing Society; Institute of Electrical and Electronics Engineers -IEEE-:
20th IEEE International Conference on Image Processing, ICIP 2013. Proceedings : 15-18 September 2013, Melbourne, Australia
Piscataway, NJ: IEEE, 2013
ISBN: 978-1-4799-2341-0
International Conference on Image Processing (ICIP) <20, 2013, Melbourne>
Fraunhofer IIS ()

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.