On image compression by competitive neural networks and optimal linear predictors

摘要

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.