Abstract
In this paper, we propose a discriminative color quantization algorithm depending on the degree of focus of the regions. When we take pictures, we usually focus the object that we want to emphasize. This means that focused area on the photograph contains important information. If the focused area is displayed with more colors, we can express the important information in more detail. This paper proposes a color quantization method that determines the focused area and assigns more colors for the area.
This work was supported by the Soongsil University Research Fund.
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References
Clark, D.: Color quantization using octrees. Dr. Dobb’s Journal, pp. 54–57 and 102–104 (January 1996)
Gervautz, M., Purgathofer, W.: A simple method for color quantization: octree quantization. In: Glassner, A. (ed.) Graphics Gems I, pp. 287–293. Academic Press, London (1990)
Kruger, A.: Median-cut color quantization. Dr. Dobb’s Journal, pp. 46–54 and 91–92 (September 1994)
Krishna, K., Ramakrishnan, K.R., Thathachar, M.A.L.: Vector Quantization using Genetic K-Means Algorithm for Image Compression. In: Han, Y., Quing, S. (eds.) ICICS 1997. LNCS, vol. 1334, pp. 1585–1587. Springer, Heidelberg (1997)
Verevka, O.: Color image quantization in windows systems with local K-means algorithm. In: Proceedings of VI Western Computer Graphics Symposium, pp. 74–79 (March 1995)
Kim, K.M., Lee, C.S., Lee, E.J., Ha, Y.H.: Color Image Quantization using Weighted Distortion Measure of HVS Color Activity. In: Proc. of International Conference on Image Processing, vol. 3, pp. 1035–1039 (1996)
Deng, Y., Manjunath, B.S., Shin, H.: Color Image Segmentation. In: Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, 278 Proc. SPIE, vol. 4572 (1999)
Yoon, K.-J., Kweon, I.-S.: Color image segmentation considering of human sensitivity for color pattern variations. In: SPIE proceedings series, pp. 269–278 (2001)
Nayar, S.K.: Shape from Focus System. In: Proc. Of CVPR, pp. 302–308 (1992)
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Yang, HT., Paik, D. (2007). A Discriminative Color Quantization Depending on the Degree of Focus. In: Jacko, J.A. (eds) Human-Computer Interaction. Interaction Platforms and Techniques. HCI 2007. Lecture Notes in Computer Science, vol 4551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73107-8_21
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DOI: https://doi.org/10.1007/978-3-540-73107-8_21
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