This work is concerned with the prediction of visual colour difference between pairs of palettes. In this study, the palettes contained five colours arranged in a horizontal row. A total of 95 pairs of palettes were rated for visual difference by 20 participants. The colour difference between the palettes was predicted using two algorithms, each based on one of six colour‐difference formulae. The best performance (r² = 0.86 and STRESS = 16.9) was obtained using the minimum colour‐difference algorithm (MICDM) using the CIEDE2000 equation with a lightness weighing of 2. There was some evidence that the order (or arrangement) of the colours in the palettes was a factor affecting the visual colour differences although the MICDM algorithm does not take order into account. Application of this algorithm is intended for digital design workflows where colour palettes are generated automatically using machine learning and for comparing palettes obtained from psychophysical studies to explore, for example, the effect of culture, age, or gender on colour associations.

中文翻译：

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预测调色板之间的视觉相似性

这项工作与调色板对之间视觉色差的预测有关。在这项研究中，调色板包含在水平行中排列的五种颜色。共有95对调色板被20位参与者评估为视觉差异。使用两种算法预测调色板之间的色差，每种算法均基于六个色差公式之一。最佳性能（r ²CIEDE2000公式使用最小色差算法（MICDM）得出的亮度系数= 0.86，应力（STRESS = 16.9），亮度权重为2。有一些证据表明调色板中颜色的顺序（或排列）是一个因素尽管MICDM算法未考虑顺序，但仍会影响视觉色差。该算法的应用旨在用于数字设计工作流，其中使用机器学习自动生成调色板，并用于比较从心理物理学研究中获得的调色板，以探索例如文化，年龄或性别对颜色关联的影响。