An adaptive clustering algorithm for color quantization
作者： Ing-Sheen Hsieh , Kuo-Chin Fan
DOI: 10.1016/S0167-8655(99)00165-8
关键词:
摘要: Abstract In this paper, a novel adaptive clustering algorithm for color image quantization is presented. our approach, superposed 3D histogram calculated first. Then, the sorted list fed into an to extract palette colors in image. Finally, destined pixel-mapping applied classify pixels their corresponding colors. The quantized error of proposed very small due combination reduced RGB space utilization and algorithm. Besides, executing speed also quite fast space, list, suitable design pixel mapping. Experimental results reveal feasibility superiority approach solving problem.
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