Mahmoud R. El-Sakka and Mohamed S. Kamel, "An Edge-Preserving
Neural Network For Image Compression", World Congress On
Neural Networks, (WCNN'1994), pp. 59-64, May 1994, San Diego,
When conventional BP ANN is employed for image encoding the
decoded images usually exhibit some degradation of the edges.
This is due to the fact that edge pixels usually represent a
small portion of the entire image and BP learning algorithms
do not differentiate between edge and non-edge pixels.
In this paper, a novel Edge-Preserving ANN learning algorithm
is proposed. This learning algorithm pays more attention to
edge information. The error between the computed and desired
output value is multiplied by a weighting factor which is
proportional to the amount of edge information in the
corresponding input pixel. The algorithm is implemented and
its performance is assessed by comparing it to the