Zhaoping Li, Carroll Joseph
J Opt Soc Am A Opt Image Sci Vis. 2016 Mar;33(3):A228-37. doi: 10.1364/JOSAA.33.00A228.
The Rayleigh match is defined by the range of mixtures of red and green lights that appear the same as an intensity-adjustable monochromatic yellow light. The perceptual match indicates that the red-green mixture and the yellow light have evoked the same respective cone absorptions in the L- and M-cone pathways. Going beyond the existing models, the Poisson noise in cone absorptions is proposed to make the matching proportion of red-green mixtures span a finite range because any mixture in that range evokes cone absorptions that do not differ from those by a yellow light by more than the variations in the absorption noise. We derive a mathematical formula linking the match midpoint or match range with the sensitivities and numerosities of the two cones. The noise-free, exact, matching point, close to the midpoint of the matching range, depends only on the L- and M-cone sensitivities to each of the red, green, and yellow lights [these sensitivities, in turn, depend on the preferred wavelengths (λmax) and optical densities of the cone pigments and the properties of prereceptoral light filtering]. Meanwhile, the matching range depends on both these cone sensitivities and the relative numerosity of the L and M cones. The model predicts that, in normal trichromats, all other things being equal, the match range is smallest when the ratio r between L and M cone densities is r=R(-1/2) with R as the ratio between the sensitivities of the L and M cones to the yellow light, i.e., when L and M cones are similarly abundant in typical cases, and, as r departs from R(-1/2), the match range increases. For example, when one cone type is 10 times more numerous, the match range increases two- to threefold, depending on the sensitivities of the cones. Testing these model predictions requires either a large data set to identify the effect of one factor (e.g., cone numerosity) while averaging out the effects of the other factors (e.g., cone sensitivities) or for all factors to be known. A corollary of this prediction is that, because they are more likely than usual to have L:M cone ratios skewed, the matching ranges of normal female trichromats who are carriers of dichromacy (but not anomalous trichromacy) are likely to have a larger matching range than usual, particularly for the deutan carriers. In addition, the model predicts that, in strong tetrachromats (whose four dimensions of color are preserved post-receptorally), either the Rayleigh matching is impossible or the matching range is typically smaller than usual.
瑞利匹配是由红色和绿色光的混合范围定义的,该混合光看起来与强度可调的单色黄光相同。这种感知匹配表明,红-绿混合光和黄光在L-锥和M-锥通路中分别引起了相同的视锥吸收。超越现有模型,有人提出视锥吸收中的泊松噪声会使红-绿混合光的匹配比例跨越一个有限范围,因为该范围内的任何混合光引起的视锥吸收与黄光引起的视锥吸收之间的差异不会超过吸收噪声的变化。我们推导了一个数学公式,将匹配中点或匹配范围与两个视锥的敏感度和数量联系起来。无噪声的精确匹配点接近匹配范围的中点,仅取决于L-锥和M-锥对红、绿、黄三种光中每种光的敏感度[这些敏感度又取决于视锥色素的最佳波长(λmax)和光密度以及感受器前光过滤的特性]。同时,匹配范围既取决于这些视锥敏感度,也取决于L-锥和M-锥的相对数量。该模型预测,在正常三色视者中,在其他条件相同的情况下,当L-锥和M-锥密度之比r等于R(-1/2)时,匹配范围最小,其中R是L-锥和M-锥对黄光的敏感度之比,即,在典型情况下L-锥和M-锥数量相似时,并且当r偏离R(-1/2)时,匹配范围会增大。例如,当一种视锥类型的数量多10倍时,匹配范围会增大两到三倍,这取决于视锥的敏感度。要检验这些模型预测,要么需要一个大数据集来确定一个因素(如视锥数量)的影响,同时平均其他因素(如视锥敏感度)的影响,要么需要知道所有因素。这个预测的一个推论是,因为正常女性三色视者如果是二色性(但不是异常三色性)携带者,她们的L:M视锥比例比平常更可能有偏差,所以她们的匹配范围可能比平常更大,尤其是对于绿色盲携带者。此外,该模型预测,在强四色视者(其颜色的四个维度在感受器后得以保留)中,要么瑞利匹配是不可能的,要么匹配范围通常比平常小。