Geissbuehler Matthias, Lasser Theo
Laboratoire d’Optique Biomédicale LOB, Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 17, CH-1015 Lausanne, Switzerland.
Opt Express. 2013 Apr 22;21(8):9862-74. doi: 10.1364/OE.21.009862.
Visualization of data concerns most scientists. The use of color is required in order to display multidimensional information. In addition, color encoding a univariate image can improve the interpretation significantly. However up to 10% of the adult male population are affected by a red-green color perception deficiency which hampers the correct interpretation and appreciation of color encoded information. This work attempts to give guidelines on how to display a given dataset in a balanced manner. Three novel color maps are proposed providing readers with normal color perception a maximum of color contrast while being a good compromise for readers with color perception deficiencies.
数据可视化是大多数科学家所关注的。为了展示多维信息，需要使用颜色。此外，对单变量图像进行颜色编码可以显著改善解读效果。然而，高达10%的成年男性人口受到红绿色觉缺陷的影响，这妨碍了对颜色编码信息的正确解读和欣赏。这项工作试图给出关于如何以平衡的方式展示给定数据集的指导方针。提出了三种新颖的颜色映射，为具有正常颜色感知的读者提供最大的颜色对比度，同时也是对有颜色感知缺陷的读者的一个良好折衷方案。
