Amélioration du modèle statistique de bruit pour le codage vidéo distribué

The statistical model used to model the correlation noise at the turbo decoder for distributed video coding is studied in this paper. After working with several video sequences, we have shown that the classical model, based on Laplacian distribution, is not always producing accurate results. We propose to replace this model by a more general one, namely the Generalized Gaussian model. Two methods are then used to estimate the parameters of this model: the moment method and the maximum likelihood method. Tests are carried on in different settings: in on-line or off-line mode and with CIF or QCIF video, demonstrating that the Generalized Gaussian model seems more efficient than the Laplacian one.