A color quantization method is presented, which is based on the analysis of the histogram at different resolutions computed on a Gaussian pyramid of the input image. Criteria based on persistence and dominance of peaks and pits of the histograms are introduced to detect the modes in the histogram of the input image and to define the reduced colormap. Important features of the method are, besides its limited computational cost, the possibility to obtain quantized images with a variable number of colors, depending on the user's need, and that the number of colors in the resulting image does not need to be a priori fixed. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Ramella, G., & Di Baja, G. S. (2009). Color quantization by multiresolution analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5702 LNCS, pp. 525–532). https://doi.org/10.1007/978-3-642-03767-2_64
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