Image compression by self-organized Kohonen map

  • Authors:
  • C. Amerijckx;M. Verleysen;P. Thissen;J. -D. Legat

  • Affiliations:
  • Microelectron. Lab., Univ. Catholique de Louvain;-;-;-

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 1998

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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