Color Image Vector Quantization Using Wavelet Transform and Enhanced Self-organizing Neural Network

  • Kwang Baek Kim
  • Dae Su Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3316)


This paper proposes a vector quantization using wavelet transform and enhanced SOM algorithm for color image compression. To improve the defects of SOM algorithm, we propose the enhanced self-organizing algorithm, which, at first, reflects the error between the winner node and the input vector in the weight adaptation by using the frequency of the winner node, and secondly, adjusts the weight in proportion to the present weight change and the previous weight one as well. To reduce the blocking effect and improve the resolution, we construct vectors by using wavelet transform and apply the enhanced SOM algorithm to them. The simulation results show that the proposed method energizes the compression ratio and decompression ratio.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Kwang Baek Kim
    • 1
  • Dae Su Kim
    • 2
  1. 1.Dept. of Computer EngineeringSilla UniversityKorea
  2. 2.Dept. of Computer ScienceHanshin UniversityKorea

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