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Color quantization with a hybrid genetic algorithm

机译:用混合遗传算法进行颜色量化

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摘要

The quantization of true color images to a limited subset of colors is a NP-hard optimization problem. A heuristic approach to color image quantization is presented. It is based on an adaptive version of a previously proposed hybrid genetic algorithm. The results obtained demonstrate that the new algorithm is superior to other post-clustering approaches with respect to both image quality and runtime behaviour.
机译:真正彩色图像的量化为有限的颜色子集是NP-Hard优化问题。提出了一种启发式彩色图像量化的方法。它基于先前提出的混合遗传算法的自适应版本。获得的结果表明,新算法优于相对于图像质量和运行时行为的其他聚类方式。

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