Spatial error concealment of corrupted image data using frequency selective extrapolation

The paper introduces a method for spatial error concealment of lost image data in erroneous image transmission. The image content of the correctly received surrounding blocks is successively approximated by a weighted linear combination of basis functions and the missing block is obtained by extrapolation. An implementation in the frequency domain allows an efficient realization. Investigations show that particularly 2D DFT basis functions are suited for signal extrapolation in order to be able to reconstruct both monotone areas and edges.