title: Image compression by self-organized Kohonen map.
abstract: This paper presents a compression scheme for digital still images, by using the Kohonen's neural network algorithm, not only for its vector quantization feature, but also for its topological property. This property allows an increase of about 80% for the compression rate. Compared to the JPEG standard, this compression scheme shows better performances (in terms of PSNR) for compression rates higher than 30.
authors.affiliation: Université catholique de Louvain, Microelectronics Laboratory, B-1348 Louvain-la-Neuve, Belgium.
authors.forename: C
authors.initials: C
authors.lastname: Amerijckx
authors.forename: M
authors.initials: M
authors.lastname: Verleysen
authors.forename: P
authors.initials: P
authors.lastname: Thissen
authors.forename: J D
authors.initials: JD
authors.lastname: Legat