DocumentCode
1365700
Title
Image compression by self-organized Kohonen map
Author
Amerijckx, Christophe ; Verleysen, Michel ; Thissen, Philippe ; Legat, Jean-Didier
Author_Institution
Microelectron. Lab., Univ. Catholique de Louvain, Belgium
Volume
9
Issue
3
fYear
1998
fDate
5/1/1998 12:00:00 AM
Firstpage
503
Lastpage
507
Abstract
Presents a compression scheme for digital still images, by using 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
Keywords
image coding; self-organising feature maps; vector quantisation; compression rate; digital still images; image compression; self-organized Kohonen map; topological property; vector quantization; Associate members; Discrete cosine transforms; Discrete transforms; Image coding; Image processing; Neural networks; Space technology; Topology; Transform coding; Vector quantization;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.668891
Filename
668891
Link To Document