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提高色差公式性能的幂函数。

Power functions improving the performance of color-difference formulas.

作者信息

Huang Min, Cui Guihua, Melgosa Manuel, Sánchez-Marañón Manuel, Li Changjun, Luo M Ronnier, Liu Haoxue

出版信息

Opt Express. 2015 Jan 12;23(1):597-610. doi: 10.1364/OE.23.000597.

Abstract

Color-difference formulas modified by power functions provide results in better agreement with visually perceived color differences. Each of the modified color-difference formulas proposed here adds only one relevant parameter to the corresponding original color-difference formula. Results from 16 visual data sets and 11 color-difference formulas indicate that the modified formulas achieve an average decrease of 5.7 STRESS (Standardized Residual Sum of Squares) units with respect to the original formulas, signifying an improvement of 17.3%. In particular, for these 16 visual data sets, the average decrease for the current CIE/ISO recommended color-difference formula CIEDE2000 modified by an exponent 0.70 was 5.4 STRESS units (17.5%). The improvements of all modified color-difference formulas with respect to the original ones held for each of the 16 visual data sets and were statistically significant in most cases, particularly for all data sets with color differences close to the threshold. Results for 2 additional data sets with color pairs in the blue and black regions of the color space confirmed the usefulness of the proposed power functions. The main reason of the improvements found for the modified color-difference formulas with respect to the original color-difference formulas seems to be the compression provided by power functions.

摘要

由幂函数修正的色差公式得出的结果与视觉感知的色差更相符。这里提出的每个修正色差公式仅在相应的原始色差公式中添加一个相关参数。来自16个视觉数据集和11个色差公式的结果表明,修正后的公式相对于原始公式平均减少了5.7个STRESS(标准化残差平方和)单位,这意味着提高了17.3%。特别是对于这16个视觉数据集,当前由指数0.70修正的CIE/ISO推荐色差公式CIEDE2000的平均减少量为5.4个STRESS单位(17.5%)。所有修正后的色差公式相对于原始公式的改进在这16个视觉数据集中的每一个上都成立,并且在大多数情况下具有统计学意义,特别是对于所有色差接近阈值的数据集。在颜色空间的蓝色和黑色区域中具有颜色对的另外2个数据集的结果证实了所提出的幂函数的有用性。修正后的色差公式相对于原始色差公式所发现的改进的主要原因似乎是幂函数提供的压缩。

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