Color image compression using self organizing feature map

DİRİ B., VARLI S.

IASTED International Conference on Artificial Intelligence and Applications, AIA 2006, Innsbruck, Avusturya, 13 - 16 Şubat 2006, ss.162-166, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Innsbruck
  • Basıldığı Ülke: Avusturya
  • Sayfa Sayıları: ss.162-166
  • Anahtar Kelimeler: 1-D self-organizing feature map, Color quantization, Entropy coding, Image compression
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

This paper presents a compression scheme for color images, by using Self-Organizing Feature Map (SOFM) algorithm, which is a neural network structure. In this application 1-dimensional SOFM is used to map 256-color to 64-, 32- and 16-color. After the quantization process, relative coding and entropy coding are performed without any loss in the information. Obtained results encourage the use of SOFM for image compression.