Color Image Vector Quantization by Using Wavelet Transform and Enhanced SOM Algorithm 


Vol. 27,  No. 9, pp. 935-942, Sep.  2002


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  Abstract

This paper proposes a vector quantization using wavelet transform and SOM algorithm for color image. We proposes the enhanced self-organizing algorithm to improve disadvantages of SOM algorithm. At first, the error between winner node and input vector are reflected to the weight adaptation using the frequency of winner node. At second, the weight is adapted in proportion to the present weight change and the previous weight change as well. For reducing blocking effect and improving resolution, we construct vector by using wavelet transform and we applies it to the enhanced SOM algorithm. Simulation results show that the proposed method is robust to compression ratio and decompression ratio.

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  Cite this article

[IEEE Style]

M. Nam and K. Kim, "Color Image Vector Quantization by Using Wavelet Transform and Enhanced SOM Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 9, pp. 935-942, 2002. DOI: .

[ACM Style]

Mi-Young Nam and Kwang-Baek Kim. 2002. Color Image Vector Quantization by Using Wavelet Transform and Enhanced SOM Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 27, 9, (2002), 935-942. DOI: .

[KICS Style]

Mi-Young Nam and Kwang-Baek Kim, "Color Image Vector Quantization by Using Wavelet Transform and Enhanced SOM Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 9, pp. 935-942, 9. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880