Image compression by self-organized Kohonen map

C Amerijckx; M Verleysen; P Thissen; J D Legat

doi:10.1109/72.668891

Image compression by self-organized Kohonen map

IEEE Trans Neural Netw. 1998;9(3):503-7. doi: 10.1109/72.668891.

Authors

C Amerijckx¹, M Verleysen, P Thissen, J D Legat

Affiliation

¹ Université catholique de Louvain, Microelectronics Laboratory, B-1348 Louvain-la-Neuve, Belgium.

PMID: 18252473
DOI: 10.1109/72.668891

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.