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The colors of paintings and viewers' preferences

机译:绘画的色彩和观众的喜好

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摘要

One hypothesis to explain the aesthetics of paintings is that it depends on the extent to which they mimic natural image statistics. In fact, paintings and natural scenes share several statistical image regularities but the colors of paintings seem generally more biased towards red than natural scenes. Is the particular option for colors in each painting, even if less naturalistic, critical for perceived beauty? Here we show that it is. In the experiments, 50 naïve observers, unfamiliar with the 10 paintings tested, could rotate the color gamut of the paintings and select the one producing the best subjective impression. The distributions of angles obtained are described by normal distributions with maxima deviating, on average, only 7 degrees from the original gamut orientation and full width at half maximum just above the threshold to perceive a chromatic change in the paintings. Crucially, for data pooled across observers and abstract paintings the maximum of the distribution was at zero degrees, i.e., the same as the original. This demonstrates that artists know what chromatic compositions match viewers' preferences and that the option for less naturalistic colors does not constrain the aesthetic value of paintings.
机译:一种解释绘画美学的假设是,它取决于绘画模仿自然图像统计的程度。实际上,绘画和自然场景共享一些统计图像规律性,但是绘画的颜色通常看起来比自然场景更偏向红色。即使不那么自然,每幅画中颜色的特殊选择是否对感知美至关重要?在这里,我们证明它是。在实验中,不熟悉所测试的10幅画作的50位纯朴的观察者可以旋转画作的色域,并选择产生最佳主观印象的画作。所获得的角度分布是通过正态分布来描述的,其中最大值与原始色域方向平均仅相差7度,而半高全宽恰好在阈值之上以感知绘画中的色度变化。至关重要的是,对于跨观察者和抽象绘画收集的数据,分布的最大值为零度,即与原始图像相同。这表明艺术家知道什么色彩组合能够满足观看者的喜好,并且选择不那么自然的色彩不会限制绘画的美学价值。

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