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Assessing the variability of colour-rendering indices using a random test-colour method

机译:使用随机测试颜色方法评估显色指数的变异性

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This paper addresses the way in which the random selection of different sets of samples influences the values of two colour-rendering indices analogous to the ones proposed by the International Commission on Illumination (CIE Publ. 13.3, 1995), R-a, and the Illuminating Engineering Society (IES Technical Memorandum TM-30-15, 2015), R-f. We report results found for 11 light sources, representative of current indoor and outdoor lighting, using a database with 12123 spectral reflectance factors from real objects. For these 11 light sources, the differences between official R-a and R-f values and those computed using 100 iterations with 6000 random samples from our database proved to be in the range [-13, 2] and [-15, -1], respectively, the highest differences corresponding to sources with narrow peaks in their spectral power distributions. For 100 random subsets of 10 samples from our database, the average standard deviations of the 11 light sources for indices analogous to R-a and R-f were 8 and 5 (or 2 and 1 using 110 samples) respectively. The standard deviations in computed R-a and R-f values, using subsets with different numbers of samples n, can be modelled as inversely proportional to the square root of n. We propose a method to estimate these standard deviations for n=6000 using reduced sets of 10 spectral reflectance factors.
机译:本文探讨了如何通过随机选择不同的样本集来影响两个显色指数的值的方法,类似于国际照明委员会(CIE Publ。13.3,1995),Ra和照明工程所提出的方法。学会(IES技术备忘录TM-30-15,2015年),RF。我们使用包含来自真实物体的12123光谱反射系数的数据库报告11个光源的结果,这些光源代表当前的室内和室外照明。对于这11个光源,官方的Ra和Rf值与使用我们的数据库中的6000个随机样本进行100次迭代计算得出的值之间的差异分别在[-13,2]和[-15,-1]范围内,最高差异对应于频谱功率分布中峰值较窄的光源。对于我们数据库中10个样本的100个随机子集,与R-a和R-f相似的11个光源的平均标准偏差分别为8和5(或使用110个样本分别为2和1)。使用具有不同数量的样本n的子集,可以将计算的R-a和R-f值中的标准偏差建模为与n的平方根成反比。我们提出了一种方法,用于使用减少的10个光谱反射系数集来估计n = 6000的这些标准偏差。

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  • 来源
    《Coloration Technology》 |2017年第5期|403-414|共12页
  • 作者单位

    Univ Extremadura, Dept Ingn Sistemas Informat & Telemat, Ctr Univ Merida, C Santa Teresa de Jornet 38, Merida 06800, Spain;

    Univ Extremadura, Fac Ciencias, Dept Fis, Avda Elvas S-N, E-06071 Badajoz, Spain;

    Univ Extremadura, Fac Ciencias, Dept Fis, Avda Elvas S-N, E-06071 Badajoz, Spain;

    Univ Extremadura, Fac Ciencias, Dept Fis, Avda Elvas S-N, E-06071 Badajoz, Spain;

    Univ Granada, Fac Ciencias, Dept Opt, E-18071 Granada, Spain;

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