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Proceedings Paper

Perceptually based approach to color quantization
Author(s): Erdan Gu; Duanqing Xu; Jingbin Wang; Chun Chen
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Paper Abstract

The process of selecting a small number of representative colors from an image of higher color resolution is called color image quantization. The ultimate goal of color image quantization is to minimize visible distortion. While its application as a frame buffer technique requires that algorithm efficiency is crucial. In this paper, a significantly faster quantization strategy than previous methods: median cut, variance, or octree-based algorithms, etc., is suggested. The new perceptually algorithm integrated with gamma correction produces result approximately as accurate as previous methods. Overall, the new proposed method is a preferable tradeoff between the quantizer complexity and visible distortion of the quantized image.

Paper Details

Date Published: 20 September 2001
PDF: 6 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441540
Show Author Affiliations
Erdan Gu, Zhejiang Univ. (China)
Duanqing Xu, Zhejiang Univ. (China)
Jingbin Wang, Zhejiang Univ. (China)
Chun Chen, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis
Bir Bhanu; Jun Shen; Tianxu Zhang, Editor(s)

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