MINIMIZING A WEIGHTED ERROR CRITERION FOR SPATIAL ERROR CONCEALMENT OF MISSING IMAGE DATA (MP-P2)

Author(s) : Katrin Meisinger (University of Erlangen-Nuremberg, Germany) André Kaup (University of Erlangen-Nuremberg, Germany)

Abstract : In this contribution we present an algorithm for spatial error concealment of lost image data transmitted in error prone environments. The surrounding correctly received image signal is approximated by a weighted linear combination of basis functions and the missing image data is obtained by a frequency selective extrapolation. During the approximation a novel introduced weighted error criterion is minimized taking the correlation among pixels into account. 2D DFT basis functions are especially suited for the signal extrapolation in order to be able to reconstruct monotone areas, edges and noisy regions and allow an efficient realization of the algorithm in the frequency domain. Due to the weighting we could improve the concealing performance of the algorithm considerable while halvening the FFT size.

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