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A Novel Method for Evaluating Color Accuracy of Displayed Images with Different Formulae

机译:一种评价不同公式显示图像色彩准确性的新方法

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A new method to evaluate color accuracy of displayed images is established, which samples the typical color values from the images and measure them on the display. The measured color difference calculated by CIEDE76, CIEDE94, CIEDE2000, CMC (1:1) and CMC (2:1) color differences formulae are compared with subjective e-valuation difference and then consistency between calculated and subjective color difference is discussed in the paper. The experiment results show that the human eyes are more sensitive to the neutral color so that the small change of color value can invoke relative large difference sensation while the measured and calculated difference is relative smaller. The color difference calculated by CIEDE76 is much smaller than subjective perceived difference in the near neutral color area and that in the green area is larger than perceived difference, so that the consistency between measured and perceived color differences is very poor. Other formulae show much better result than that of CIEDE76.The results show that CMC (2:1) color difference is the best one for evaluating color images among the 5 color difference formulae, the calculated color difference is almost linear to the visual one. The color difference calculated by CIEDE2000 formula is also smaller than subjective perceived color difference in the near neutral grey area but has good consistency in other area.
机译:建立了一种评估显示图像色彩准确性的新方法,该方法从图像中采样典型色彩值并在显示器上进行测量。将通过CIEDE76,CIEDE94,CIEDE2000,CMC(1:1)和CMC(2:1)色差公式计算的测得色差与主观e评估差进行比较,然后讨论计算色差与主观色差之间的一致性。实验结果表明,人眼对中性色更敏感,因此色度值的微小变化可以引起较大的差异感觉,而测得和计算出的差异却相对较小。 CIEDE76计算出的色差比接近中性色区域的主观感知差异小得多,而绿色区域的色差大于感知差异,因此实测色差和感知色差之间的一致性非常差。其他公式的结果要比CIEDE76更好。结果表明,在5个色差公式中,CMC(2:1)色差是评估彩色图像的最佳方法,计算出的色差几乎与视觉色差呈线性关系。 CIEDE2000公式计算出的色差在中性灰色附近区域也小于主观感知的色差,但在其他区域具有良好的一致性。

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