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

Published: 01 Jan 1996, Last Modified: 12 Apr 2025ICIP (1) 1996EveryoneRevisionsBibTeXCC BY-SA 4.0
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.
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