Abstract
The task of color quantization is to select and assign a limited set of colors for representing a given color image with maximum fidelity. Assume, for example, that a graphic artist has created an illustration with beautiful shades of color, for which he applied 150 different crayons. His editor likes the result but, for some technical reason, instructs the artist to draw the picture again, this time using only 10 different crayons. The artist now faces the problem of color quantization—his task is to select a “palette” of the 10 best suited from his 150 crayons and then choose the most similar color to redraw each stroke of his original picture.
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© 2016 Springer-Verlag London
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Burger, W., Burge, M.J. (2016). Color Quantization. In: Digital Image Processing. Texts in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-6684-9_13
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DOI: https://doi.org/10.1007/978-1-4471-6684-9_13
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