An investigation into perceptual hue-ordering

An investigation into perceptual hue-ordering
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DOI:
10.2352/cic.2008.16.1.art00061
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发表时间:
2008-01
期刊:
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影响因子:
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通讯作者:
David Connah;Marina Bloj;G. Finlayson
David Connah;Marina Bloj;G. Finlayson
中科院分区:
其他
文献类型:
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作者:
David Connah;Marina Bloj;G. Finlayson

文献摘要

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有许多问题需要对颜色向量进行排序:向量形态学和颜色到灰度的转换是两个重要的例子。字典排序可以执行此功能,但是虽然亮度和饱和度分量具有具有固定原点的明确定义的尺度,但色调维度没有这样的尺度。在本文中,我们直接使用灰度分配范例来解决这个问题。观察者被显示成对的等亮度和等饱和度颜色,并被要求为它们分配灰度值,使得分配的灰度差与他们感知的色差相匹配。从所得到的幅度,我们构建了一个1D尺度的色调值使用多维缩放,结果显示出正弦曲线般的排序。我们还分析了差异的符号(即哪种颜色被分配了更亮的灰度),并发现不同的观察者可靠地使用相同的符号分配策略。该结果可用于固定幅度实验产生的正弦标度的相位。这个结果也补充了早期关于亥姆霍兹-科尔劳施效应的工作,但与我们唯一使用的颜色不同,这些颜色分别为每个观察者设置为等亮度和等饱和度。在这里,我们可视化的效果,通过编码等亮度和等饱和度图像与派生的灰度排序。
There are a number of problems for which colour-vectors need to be ordered: vector morphology and colour-to-greyscale conversion are two important examples. A lexicographic ordering can perform this function, but while the luminance and saturation components have clearly defined scales with fixed origins there is no such scale for the hue dimension. In this paper we tackle this problem directly using a greyscale assignment paradigm. Observers were shown pairs of iso-luminant and iso-saturation colours, and asked to assign greyscale values to them such that the assigned greyscale difference matched their perceived colour dif-ference. From the resulting magnitudes we construct a 1D scale of hue values using multi-dimensional scaling, and the results show a sinusoid-like ordering. We also analyse the signs of the differ-ences (i.e. which colour was assigned a brighter greylevel), and find that different observers reliably use the same sign-assignment strategy. This result can be used to fix the phase of the sinusoidal scale resulting from the magnitude experiments. This result also supplements earlier work on the Helmholtz-Kohlrausch effect, but is not the same as we have uniquely used colors that were set as iso-luminant and iso-saturation individually for each observer. Here we visualise the effect by encoding iso-luminant and iso-saturation images with the derived greyscale ordering.