AI 中文总结
研究如何高效提取高频美学连贯颜色映射，提出从艺术品和图片中提取的交互式技术，能捕捉现有图像颜色设计和亮度范围，用于复杂数据集探索，辅助图像理解与分析。
AI 中文摘要
具有高频亮度分量的颜色传递函数（即颜色映射）已被证明在特征检测或等值线识别至关重要的数据可视化中很有用。使这些颜色映射还能展现广泛的颜色和美观的构图，有望进一步辅助图像理解与分析。然而，用当前颜色映射创建工具高效生成此类颜色映射很困难。我们展示了一种从艺术品和图片中提取颜色映射的交互式技术，说明如何在颜色映射中巧妙捕捉现有图像丰富且精细的颜色设计和动态亮度范围，并有效用于复杂数据集的探索。
英文摘要
Color transfer functions (i.e. colormaps) exhibiting a high frequency luminosity component have proven to be useful in the visualization of data where feature detection or iso-contours recognition is essential. Having these colormaps also display a wide range of color and an aesthetically pleasing composition holds the potential to further aid image understanding and analysis. However producing such colormaps in an efficient manner with current colormap creation tools is difficult. We hereby demonstrate an interactive technique for extracting colormaps from artwork and pictures. We show how the rich and careful color design and dynamic luminance range of an existing image can be gracefully captured in a colormap and be utilized effectively in the exploration of complex datasets
CommentsCALTECH CACR 2003 INTERNAL PUBLICATION # 196. https://resolver.library.caltech.edu/CaltechCACR:CACR-2003-196
