Color quantization by RWM-cut

Ching-Yung Yang, Ja‐Chen Lin · 2002

A new color quantization method that uses the radius weighted mean cut (RWM-cut) is proposed. The method is hierarchically divisive, and each two-class partition only uses the centroid and the RWM. The processing speed is fast and the MSE quantization error is competitive. The algorithm can either be used alone or be used to create a good initial palette for the LBG algorithm.

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