IMAGE COMPRESSION USING NEURAL NETWORKS

Work is described in which neural network techniques have been used to compress single and moving images. For the still images, two differen t types of neural network have been examined: the multi-layer perceptr on and the Kohonen self-organizing network. In many of the application s in which there is a need for image compression, moving images are in volved. It is shown how the Kohonen network can be used to compress mo ving images by utilizing the redundancy between consecutive frames. Al so addressed is how neural networks may be made adaptive, taking into account changes in the scenes they are required to compress.