Colormapping is one of the simplest and most widely used data visualization methods within and outside the visualization community. Uniformity, order, discriminative power, and smoothness of continuous colormaps are the most important criteria for evaluating and potentially improving colormaps. We present a local and a global automatic optimization algorithm in Euclidean color spaces for each of these design rules in this work. As a foundation for our optimization algorithms, we used the CCC-Tool colormap specification (CMS); each algorithm has been implemented in this tool. In addition to synthetic examples that demonstrate each method's effect, we show the outcome of some of the methods applied to a typhoon simulation.

中文翻译：

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欧几里得色彩空间中连续色彩图的自动改进

颜色映射是可视化社区内外最简单、使用最广泛的数据可视化方法之一。连续颜色图的均匀性、顺序、判别力和平滑度是评估和潜在改进颜色图的最重要标准。在这项工作中，我们为这些设计规则中的每一个在欧几里德色彩空间中提出了一个局部和全局自动优化算法。作为优化算法的基础，我们使用了 CCC-Tool 颜色图规范 (CMS)；每个算法都已在此工具中实现。除了展示每种方法效果的合成示例外，我们还展示了一些应用于台风模拟的方法的结果。