A spatial concealment technique, based on the concept of the strength of an edge, is proposed for 'digital dropout' error, evident in old archived media. As long as the presence of pathological motion is observed in video sequences where current state-of-the-art methods fail to reproduce correct information, such spatial restoration offers a much better solution in terms of quality and complexity. Furthermore, relevant edge-based weighted interpolation is able to restore complicated edges and complex textures from the available neighbourhood. An experiment is performed on real video archives to evaluate the efficacy of the proposed technique.Introduction: Digital dropout is a major type of damage when storing digital AV content on digital video tape carriers or when transferring this content to file-based environments. Dropouts are caused by momentary loss of tape contact with the playback head or by flaws on the tape or other features that cause an increase in the head-to-tape spacing. The digital dropout errors in archived videos tend to occur in blocks (size of 8 × 8) with significant patterns as described in Fig. 1. Despite the practical importance of algorithms for the concealment of dropouts originating from digital video tapes (Digi Beta, IMX etc.), there is only very little related scientific work focusing on image-based methods focusing on this kind of defect. The closest related work is given by Kokaram [1] in which the Bayesian approach computes the required information from the current and surrounding frames. Kokaram also assumed that corruption does not occur at the same location in consecutive frames, however this is not always the case. Another limitation of this spatio-temporal model is that, in the presence of pathological motion (PM), motion estimation will fail, i.e. in some parts of any sequence it will be impossible to model the behaviour. So, coping with PM remains an unsolved issue for this approach.

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