Open Access

Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment

EURASIP Journal on Advances in Signal Processing20042004:402678

DOI: 10.1155/S1110865704402327

Received: 1 September 2003

Published: 29 September 2004


We extend a stochastic model of hierarchical dependencies between wavelet coefficients of still images to the spatiotemporal decomposition of video sequences, obtained by a motion-compensated wavelet decomposition. We propose new estimators for the parameters of this model which provide better statistical performances. Based on this model, we deduce an optimal predictor of missing samples in the spatiotemporal wavelet domain and use it in two applications: quality enhancement and error concealment of scalable video transmitted over packet networks. Simulation results show significant quality improvement achieved by this technique with different packetization strategies for a scalable video bit stream.

Keywords and phrases

wavelets spatiotemporal decompositions stochastic modeling hierarchical dependencies video quality scalability

Authors’ Affiliations

Signal and Image Processing Department, ENST


© Feideropoulou and Pesquet-Popescu 2004