Neural networks in visual pattern image coding

This paper presents the results of a new modification of visual pattern image coding. Proposed modification is based on visual patterns by using neural networks for pattern and vector classification. The Hamming neural network and a modification of Kohonen's supervised LVQ algorithm are used. Some experimental results are presented in the field of image coding or compression and reconstruction.