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Using Color Constancy to Advantage in Color Gamut Calculations

机译:在色域计算中使用颜色恒定到优势

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The human color constancy uses spatial comparisons. The relationships among neighboring pixels are far more important than the absolute differences between the colorimetric values of an original and its gamut-limited reproduction. If all the pixels in an image have a reproduction error in the same direction (red, green, blue, lightness, hue, chroma), then our color constancy mechanism helps to make large errors appear small. However, if all the errors are randomly distributed, then small errors appear large. This paper will describe experiments using constant errors to produce variable apparent errors and describe a technique of calculating the best appearance image using spatial comparisons. This calculation will be applied to color-gamut problems.
机译:人色恒定使用空间比较。相邻像素之间的关系比原始的比色值与其色情有限的再现之间的绝对差异更重要。如果图像中的所有像素在同一方向上具有再现错误(红色,绿色,蓝色,亮度,色调,色调),则我们的颜色恒定机制有助于使大错误显得很小。但是,如果所有错误都是随机分布的,那么小错误就会大。本文将描述使用恒定误差来产生可变明显误差的实验,并描述使用空间比较计算最佳外观图像的技术。此计算将应用于颜色色域问题。

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