Application of multi-layer neural networks to image compression
O.A. Ahmed, Moustafa M. Fahmy · 2002
A new neural network data compression is presented. This work extends the use of 2-layer neural networks to multi-layer networks. A special method has been proposed to reduce the training time of such networks. Results show the performance superiority of the proposed multi-layer neural networks compared with that of the 2-layer ones, especially at high compression ratios. A modified feed-back error is proposed to reduce the training time and enhance the image quality.