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Can I read An Adaptive Clustering Algorithm for Color Quantization on EtoBox?
An Adaptive Clustering Algorithm for Color Quantization by Ing-Sheen Hsieh; Kuo-Chin Fan is a Computer Science article available to read on EtoBox.
What is An Adaptive Clustering Algorithm for Color Quantization about?
In this paper, a novel adaptive clustering algorithm for color image quantization is presented. In our approach, a superposed 3D histogram is calculated ®rst. Then, the sorted histogram list is fed into an adaptive clustering algorithm to extract the palette colors in the image. Finally, a destined pixel-mapping algorithm is applied to classify pixels into their corresponding palette colors. The quantized error of our proposed algorithm is very small due to the combination of the reduced RGB color space utilization and the adaptive clustering algorithm. Besides, the executing speed of our proposed algorithm is also quite fast due to the reduced RGB color space, sorted histogram list, suitable color design and destined pixel mapping. Experimental results reveal the feasibility and superiority of our proposed approach in solving color quantization problem.
Who reads An Adaptive Clustering Algorithm for Color Quantization?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Ing-Sheen Hsieh; Kuo-Chin Fan
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0167-8655)
- Published
- 2000
- Language
- EN
- Field
- Computer Science (Physical Sciences)