论文标题
感知优化的颜色选择用于可视化
Perceptually Optimized Color Selection for Visualization
论文作者
论文摘要
我们提出了一种称为平衡分布模型（EDM）的方法，用于自动选择具有最佳感知对比度的颜色以进行科学可视化。鉴于在可视化任务中需要强调的任何数量的功能，我们的方法在Cielab颜色空间中均匀分布得很分布，以将颜色分配给功能，从而优化了颜色之间的最小欧几里得距离。即使对于其他颜色选择方法通常会失败，我们的方法也可以为具有高感知对比度的颜色分配具有高知觉对比度的颜色。我们将方法与广泛使用的谐波色彩选择方案进行了比较，并证明谐波方案可以实现合理的颜色对比度，以实现多达20个不同特征，但我们的平衡方案提供了更好的对比度，并且可感知的对比度可见，即使可视化多达100个独特的功能。
We propose an approach, called the Equilibrium Distribution Model (EDM), for automatically selecting colors with optimum perceptual contrast for scientific visualization. Given any number of features that need to be emphasized in a visualization task, our approach derives evenly distributed points in the CIELAB color space to assign colors to the features so that the minimum Euclidean Distance among the colors are optimized. Our approach can assign colors with high perceptual contrast even for very high numbers of features, where other color selection methods typically fail. We compare our approach with the widely used Harmonic color selection scheme and demonstrate that while the harmonic scheme can achieve reasonable color contrast for visualizing up to 20 different features, our Equilibrium scheme provides significantly better contrast and achieves perceptible contrast for visualizing even up to 100 unique features.
