Abstract
A two-stage color quantization method is proposed in this paper. At the first stage, a palette selection scheme suitable to the quantization level requirement is chosen and an initial palette is selected. At the second stage, a fast LBG algorithm is adopted to iteratively refine the palette. Experimental results show that this approach is superior to most of the prevalent methods in terms of quantization distortion measured by the MSE metric.
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Zhang, X., Song, Z., Wang, Y., Wang, H. (2005). Color Quantization of Digital Images. In: Ho, YS., Kim, HJ. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11582267_57
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DOI: https://doi.org/10.1007/11582267_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30040-3
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