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比色纯度辨别:数据与理论

Colorimetric purity discrimination: data and theory.

作者信息

Yeh T, Smith V C, Pokorny J

机构信息

Visual Sciences Center, University of Chicago, IL 60637.

出版信息

Vision Res. 1993 Sep;33(13):1847-57. doi: 10.1016/0042-6989(93)90175-v.

Abstract

Colorimetric purity, measured as the first step from white toward the spectrum has a V-shaped function. Purity discrimination is best near 400 nm, least at 570 nm and intermediate at mid-spectrum and long wavelengths. A much flatter function occurs when colorimetric purity is measured as the first step from the spectrum toward white. In this study, we applied the formulation of chromatic discrimination thresholds measured along the S-cone and M/L-cone axis to account for chromatic discrimination in the equiluminant plane. The modeling results show that the purity step from white has a 1.6 log unit calculated range, similar to the classical data. The purity step from the spectrum is much flatter. The predicted range is dependent on the individual variance in chromatic discrimination thresholds and the luminance level. We then used psychophysical procedures to test the model's predictions. The resulting purity discrimination functions were generally in agreement with the model. Our modeling indicates that discrepant data of colorimetric purity can be explained with the context of discrimination models.

摘要

比色纯度,即从白色向光谱方向测量的第一步,具有V形函数。纯度辨别在400纳米附近最佳,在570纳米处最差,在光谱中部和长波长处为中等。当从光谱向白色测量比色纯度时,会出现一个平坦得多的函数。在本研究中,我们应用了沿S锥体和M/L锥体轴测量的颜色辨别阈值公式,以解释等亮度平面中的颜色辨别。建模结果表明,从白色开始的纯度步长有一个1.6对数单位的计算范围,与经典数据相似。从光谱开始的纯度步长要平坦得多。预测范围取决于颜色辨别阈值的个体差异和亮度水平。然后,我们使用心理物理学程序来测试模型的预测。所得的纯度辨别函数总体上与模型一致。我们的建模表明,比色纯度的差异数据可以在辨别模型的背景下得到解释。

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