In this paper, we propose a new color quantization method for generation of the color-reduced images. The proposed method employs a vector error diffusion (VED) method and a particle swarm optimization (PSO). VED method based on Floyd-Steinberg dithering is used for display of the color-reduced image. Furthermore, a color palette used in VED method is optimized by PSO. PSO generates the effective color palette with evaluating a human visibility of the color-reduced image on the display. The validity and the effectiveness of the proposed method are confirmed by some experiments.
CITATION STYLE
Kubota, R., Tamukoh, H., Kawano, H., Suetake, N., Cha, B., & Aso, T. (2016). A color quantization based on vector error diffusion and particle swarm optimization considering human visibility. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9431, pp. 332–343). Springer Verlag. https://doi.org/10.1007/978-3-319-29451-3_27
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