Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26773
Title: Contextual color quantization algorithm
Authors: Yu, M
Lo, K
Issue Date: 2001
Source: 11th International Conference on Image Analysis and Processing, Proceedings, 2001, p. 596-601
Abstract: In this paper, ive propose a heuristic approach to color quantize images with contextual information taken into consideration. The idea is to locate the regions of an image having the greatest need for colors, and allocate more quantization levels to them. We achieve this by scanning the elements of the input image in a way determined by their local intensity and select the color representatives that comprise the colormap according to their local popularity. The overall performance of the color quantization algorithm is evaluated on a representative set of artificial and real world images. The results show a significant image quality improvement compared to some of the other color quantization schemes.
Publisher: IEEE Computer Soc
Description: 11th International Conference on Image Analysis and Processing, Palermo, Italy, 26-28 September 2001
Appears in Collections:Conference Paper

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