On image compression by competitive neural networks and optimal linear predictors

In this paper a new algorithm for image compression, named predictive vector quantization (PVQ), is developed based on competitive neural networks and optimal linear predictors. The semi-closed-loop PVQ methodology is studied. The experimental results are presented and the performance of the algorithm is discussed.

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