Apparent Color Dataset: How Apparent Color Differs from the Color Extracted from Photos

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)(2022)

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摘要
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.
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关键词
color picker,visual perception,apparent color,dataset,human-machine interface
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