Abstract
Color quantization is a basic and important technology in digital image processing. Through research on the color quantization algorithm based on segmentation and clustering, this paper proposes a new color quantization algorithm based on K-means clustering. Firstly, classify the pixel of image according to hue. Then, based on K-means clustering do color quantization processing for each sub-class. Through compared with the commonly quantization algorithm, the quantization effect and execution time of the proposed algorithm both have better performance.
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© 2011 Springer-Verlag Berlin Heidelberg
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Jiang, Y., Wang, Y., Jin, L., Gao, H., Zhang, K. (2011). Investigation on Color Quantization Algorithm of Color Image. In: Shen, G., Huang, X. (eds) Advanced Research on Electronic Commerce, Web Application, and Communication. ECWAC 2011. Communications in Computer and Information Science, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20370-1_30
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DOI: https://doi.org/10.1007/978-3-642-20370-1_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20369-5
Online ISBN: 978-3-642-20370-1
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