Apparent Color Dataset: How Apparent Color Differs from the Color Extracted from Photos
Apparent Color Dataset: How Apparent Color Differs from the Color Extracted from Photos
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DOI：
10.1109/smc53654.2022.9945597
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
Yuki Kubota;Shigeo Yoshida;M. Inami
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文献类型：
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作者：
Yuki Kubota;Shigeo Yoshida;M. Inami
已知表观颜色和像素颜色因图像的颜色恒定性和上下文而不同。照片和图像的表观颜色数据集将是开发基于感知的颜色提取和传输系统的基础。在这项研究中，我们收集了给定图像的表观颜色数据集，并通过模拟使用颜色提取系统的在线实验来提取位置。此外，我们分析了1110个数据，并验证了表观颜色和像素颜色之间的差异。因此，大约80%的数据具有$\Delta E_{\mathm{nbs}}\gt 6.0$色差，该色差由国家标准局(NBS)定义为“很大”或“非常”不同。表观颜色的亮度(L*)平均为[9.90，11.9]$(95%可信区间)，大于像素颜色的亮度。这些结果表明，在提取图像中的表观颜色时，颜色偏差是不可忽视的。
Apparent color and pixel color are known to be different due to color constancy and contexts of images. An apparent color dataset for photographs and images will be a basis for developing perception-based color extraction and transfer system. In this study, we collected the apparent color dataset for a given image and extracted position through an online experiment that mimics the situation of using a color extraction system. Additionally, we analyzed 1110 data and verified the difference between apparent color and pixel color. As a result, approximately 80% data has $\Delta E_{\mathrm{NBS}} \gt 6.0$ color difference that is defined “Much” or “Very Much” difference by the national bureau of standards (NBS). Luminance (L*) of the apparent color was on average $\triangle E_{00}=[9.90,11.9]$ (95% confidence interval) greater than that of the pixel color. These results indicate that the color deviations cannot be ignored when apparent colors are extracted in images.