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Correlations Between Colour Discrimination and Colour Quality Metrics

机译:颜色辨别与色彩质量指标之间的相关性

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Nowadays, many studies are trying to propose a measure for characterizing the colour discrimination of human vision. Our previous work conducted three sets of colour discrimination experiments using the Farnsworth -Munsell (FM) 100 Hue Test under lighting conditions with different correlated colour temperatures, illumination levels and Duv values. In this study, the Pearson correlation coefficients between observers' average error score and 27 typical colour quality metrics were computed based on the three sets of experimental data. The results show that among these metrics, CDI, CSA. GAI, GAI-RA and FSCI have stronger correlations with colour discrimination for most lighting conditions, and relatively, CQI-1, DSI(D65) and Snuetral perform better.
机译:如今,许多研究正试图提出一种表征人类视力色彩辨别的措施。 我们以前的作品在照明条件下使用Farnsworth -Munsell(FM)100色调测试进行了三组颜色鉴别实验,不同的相关色温,照明水平和DUV值。 在这项研究中,基于三组实验数据计算了观察者平均误差评分与27个典型颜色质量指标之间的Pearson相关系数。 结果表明,这些度量标准中,CDI,CSA。 GAI,GAI-RA和FSCI与大多数照明条件的颜色歧视具有更强的相关性,而且相对,CQI-1,DSI(D65)和SNUETRAL更好。

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