New approach of color image quantization based on multidimensional directory

Chin-Chen Chang; Yuan-Yuan Su

doi:10.1117/12.498049

1 April 2003 New approach of color image quantization based on multidimensional directory

Chin-Chen Chang, Yuan-Yuan Su

Proceedings Volume 4756, Third International Conference on Virtual Reality and Its Application in Industry; (2003) https://doi.org/10.1117/12.498049
Event: Third International Conference on Virtual Reality and Its Application in Industry, 2002, Hangzhou, China

Abstract

Color image quantization is a strategy in which a smaller number of colors are used to represent the image. The objective is to make the quality approximate as closely to the original true-color image. The technology is widely used in non-true-color displays and in color printers that cannot reproduce a large number of different colors. However, the main problem the quantization of color image has to face is how to use less colors to show the color image. Therefore, it is very important to choose one suitable palette for an index color image. In this paper, we shall propose a new approach which employs the concept of Multi-Dimensional Directory (MDD) together with the one cycle LBG algorithm to create a high-quality index color image. Compared with the approaches such as VQ, ISQ, and Photoshop v.5, our approach can not only acquire high quality image but also shorten the operation time.

Citation Download Citation

Chin-Chen Chang and Yuan-Yuan Su "New approach of color image quantization based on multidimensional directory", Proc. SPIE 4756, Third International Conference on Virtual Reality and Its Application in Industry, (1 April 2003); https://doi.org/10.1117/12.498049

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