Abstract A color quantization algorithm is proposed in this paper. By this algorithm, an image is classified as edge, smooth and texture regions, and different weight strategies are assigned to them based on different degrees of perceptions. Thus, the relatively important perceptual regions, such as edge and smooth regions are strengthened and the relatively unimportant ones are weakened, such as complex texture regions. Moreover, to reach a compromise between color quantization results and time performance, the cellular color decomposition algorithm which fixes the V value is improved and the quantization algorithm is fulfilled, which could decompose the whole color space adaptively. The algorithm reduces the error of color quantization while the time performance is improved a little. The experimental results show that good quantization results are obtained by using a few colors. The proposed algorithm is especially suitable for contentbased image retrieval.
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2007, Vol. 20 
