Archetype Classification in an Iterated Transformation Image Compression Algorithm

A method for generating a set of archetypes that are used to classify ranges and domains in an iterated transformation image compression encoder is presented. Fidelity versus encoding time data are presented, and compared with a more conventional classification scheme. The results indicate that for intermediate encoding times, both fidelity and encoding speed can be improved by using archetype classification.