Filter Banks for Prediction-Compensated Multiple Description Coding

In this paper, a prediction-compensated Multiple Description (MD) coding framework for two-band filter banks is proposed, in which the coefficients in each sub-band are split into two descriptions. Each description also includes the prediction residuals of the data in the other description. The designs of the optimal orthogonal and biorthogonal filter banks are formulated in a unified framework, and both one-level and multiple-level decompositions are analyzed. Contrary to the existing MD filter banks in the literature, the optimal filter banks in the proposed scheme are quite similar to those in single description coding.