Neural networks and semi-closed-loop predictive vector quantization for image compression

Robert Cierniak, Leszek Rutkowski

Abstract: 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 suggested. The experimental results are presented and the performance of the algorithm is discussed.