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Vector quantization for image compression based on fuzzy clustering

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4 Author(s)
Boudraa, A.-O. ; Inst. Galilee, Univ. de Paris-Nord, Villetaneuse, France ; Kanafani, Q. ; Beghdadi, A. ; Zergainoh, A.

In this paper a codebook design for image compression based on the fuzzy c-means (FCM) algorithm is presented. The codebook design from training vectors is viewed as a fuzzy clustering problem of unlabeled data points into clusters. Due to computational cost of FCM to generate the codebook, a fast version (FFCM), which operates on the image histogram, is used to obtain a good initial codebook to start the FCM algorithm. Experimental results are presented to illustrate the performance of the proposed compression method

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Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on  (Volume:2 )

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