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Color-Difference Evaluation for Digital and Printed Images

机译：数字和印刷图像的色差评估

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摘要

A series of experiments and data analyses has been performed to test the consistency between computed and perceptual color differences in images. Five International Organization for Standardization (ISO) standard color image data (SCID) images, N2, N3, N4, N5 and N7, were tested in the experiments, whose colors were altered in CIELAB lightness, chroma, and hue, either independently or simultaneously, to form the test image pairs. CIELAB, CIE94, CIEDE2000, and CMC color differences were computed by averaging the color differences pixel by pixel for the digital images or by averaging the color differences of 256 typical color patches extracted from each image for the printed images. The digital test images were displayed on an EIZO CG19 LCD monitor and the printed test images were viewed in a D50 light booth. The experimental results showed that the lightness, chroma, and hue differences behaved differently when the perceptual color differences were plotted against the computed differences. This implied that the color-difference formulas should be optimized and that different weighting factors should be applied to different visual attributes. The color-difference formulas can be optimized from the experimental data by the slope ratio of best-fit lines of lightness, chroma, and hue. The optimized formulas CIELAB(1.5:1), CIEDE2000(2.3:1), CIE94(3.0:1), and CMC(3.4:1) for digital images, or formulas CIELAB(2.4:1.5:1), CIEDE2000(2.8:1.6:1), CIE94(2.9:1.6:1), and CMC(2.7:1.5:1) for printed images, when considering hue, performed much better than the original formulas.
机译：已经进行了一系列实验和数据分析，以测试图像中计算出的和感知到的色差之间的一致性。在实验中测试了五张国际标准化组织（ISO）标准彩色图像数据（SCID）图像N2，N3，N4，N5和N7，它们的颜色在CIELAB亮度，色度和色调上分别或同时改变，以形成测试图像对。 CIELAB，CIE94，CIEDE2000和CMC色差是通过对数字图像的每个像素的色差进行平均，或者对从打印图像的每个图像中提取的256个典型色块的色差进行平均来计算的。数字测试图像显示在EIZO CG19 LCD监视器上，打印的测试图像在D50照明棚中查看。实验结果表明，将感官颜色差异与计算得出的差异作图时，亮度，色度和色调差异的表现方式有所不同。这意味着应优化色差公式，并将不同的加权因子应用于不同的视觉属性。可以通过亮度，色度和色相的最佳拟合线的斜率从实验数据中优化色差公式。针对数字图像优化的公式CIELAB（1.5：1），CIEDE2000（2.3：1），CIE94（3.0：1）和CMC（3.4：1），或公式CIELAB（2.4：1.5：1），CIEDE2000（2.8：当考虑色相时，用于打印图像的CIE94（2.9：1.6：1），CIE94（2.9：1.6：1）和CMC（2.7：1.5：1）的性能要比原始公式好得多。

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  • 来源
    《Journal of Imaging Science and Technology》 |2013年第5期|050502.1-050502.9|共9页
  • 作者

    Haoxue Liu; Min Huang; Yu Liu; Bing Wu; Yanfang Xu; Ningfang Liao; Guihua Cui;

  • 作者单位

    School of Printing & Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China;

    School of Printing & Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China;

    School of Printing & Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China;

    School of Printing & Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China;

    School of Printing & Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China;

    National Laboratory of Color Science and Engineering, Beijing Institute of Technology, Beijing 100081, China;

    School of Physics & Electronic Information Engineering, Wenzhou University, Wenzhou 325035, China;

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