色域
色调
人工智能
色空间
计算机科学
算法
图像(数学)
作者
Baiyue Zhao,Ming Ronnier Luo
摘要
Hue linearity is an important property of uniform color spaces such that hues perceived to be similar should be located on a straight line, an iso-hue line, in that space. Previously derived hue linearity data only cover a limited color gamut. Two new psychophysical experiments were conducted that used a wide color gamut (WCG) and high dynamic range (HDR) display to extend the color range using both hue matching and unitary hue estimation methods. The new data were used to evaluate the CIELAB, CAM16-UCS, IPT, and Jzazbz uniform color spaces. The experimental results indicated that IPT and Jzazbz outperformed the other two, especially in the blue region. The same method was used to test these spaces using the other published data sets. The results from different data sets gave similar results. Finally, all results were combined to form a normalized data set to represent the data under HDR and WCG display conditions. Furthermore, the four unitary hue data can be used to develop or refine color appearance models.
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