Statistical encoding algorithm for hierarchical image compression

Abstract

We analyze statistical encoding algorithms as one of the type of general methods of image compression. An approach we proposed allows us to improve effectiveness of a lossy image compression. We develop a statistical encoding algorithm that remains effective when compressing images with raw errors. It can be used as a part of any methods of image compression performing encoding of decorrelated signals with nonuniform distribution of probabilities. Coding specific data of a hierarchical compression method, we experimentally compared our algorithm with ZIP and ARJ archivers.