In this paper a new algorithm for image compression, named predictive vector quantization (PVQ), is developed based on competitive neural networks quantizer and neural networks predictor. The modified closed-loop PVQ methodology is developed. The experimental results are presented and the performance of the algorithm is discussed. A comparison of two feed-forward neural network structures applied for predictor is discussed.
['Robert Cierniak']
Image Compression Based on Soft Computing Techniques