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Using Gaussian Spectra to Derive a Hue-linear Color Space

机译:使用高斯光谱来派生色调的色彩空间

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A new color space, I_GP_GT_G, was developed. I_GP_GT_G uses the same structure as IPT, an established hue-uniform color space utilized in gamut mapping applications. While IPT was fit to visual data on the perceived hue, I_GP_GT_G was optimized based on evidence linking the peak wavelength of Gaussian-shaped light spectra to their perceived hues. The performance of I_GP_GT_G on perceived hue data was compared to the performance of other established color spaces. Additionally, an experiment was run to directly compare the hue linearity of I_GP_GT_G with those of other color spaces by using Case V of Thurstone's law of comparative judgment to generate hue-linearity scales. I_GP_GT_G performed well in this experiment but poorly on extant visual data. The mixed results indicate that it is possible to derive a moderately hue-linear color space without visual data.
机译:开发了一种新的颜色空间I_GP_GT_G。 I_GP_GT_G使用与IPT相同的结构,在域映射应用程序中使用的建立的色调均匀颜色空间。 虽然IPT适合感知色调的视觉数据,但基于将高斯形光谱的峰值波长与其感知的色调连接到其感知色调的证据进行了优化。 将I_GP_GT_G关于感知色调数据的性能与其他已建立的颜色空间的性能进行了比较。 此外,运行实验将i_gp_gt_g的色调线性与其他颜色空间的色调线性与其他颜色空间的色调线相比,以产生色调线性尺度的情况。 I_GP_GT_G在此实验中表现良好,但在现存的视觉数据上很差。 混合结果表明,没有视觉数据,可以得出中等色调线性颜色空间。

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