Abstract: A method for compressing images uses artificial intelligence and neural-network-based techniques to convert digital image data into symbolic data. The symbolic data is then further compressed using, for example, run-length-limited coding. The result is compressed data that represents the original image data at a high compression ratio. Such high compression ratios are useful, for example, in medical diagnostic and high-definition television applications.