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Study of chromatic adaptation using memory color matches, Part I: neutral illuminants

机译:使用记忆颜色匹配的色适应研究,第一部分:中性光源

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摘要

Twelve corresponding color data sets have been obtained using the long-term memory colors of familiar objects as target stimuli. Data were collected for familiar objects with neutral, red, yellow, green and blue hues under 4 approximately neutral illumination conditions on or near the blackbody locus. The advantages of the memory color matching method are discussed in light of other more traditional asymmetric matching techniques. Results were compared to eight corresponding color data sets available in literature. The corresponding color data was used to test several linear (von Kries, RLAB, etc.) and nonlinear (Hunt & Nayatani) chromatic adaptation transforms (CAT). It was found that a simple two-step von Kries, whereby the degree of adaptation D is optimized to minimize the DEu’v’ prediction errors, outperformed all other tested models for both memory color and literature corresponding color sets, whereby prediction errors were lower for the memory color sets. The predictive errors were substantially smaller than the standard uncertainty on the average observer and were comparable to what are considered just-noticeable-differences in the CIE u’v’ chromaticity diagram, supporting the use of memory color based internal references to study chromatic adaptation mechanisms.
机译:使用熟悉对象的长期记忆颜色作为目标刺激,已经获得了十二个相应的颜色数据集。在黑体轨迹上或附近的4种近似中性照明条件下,收集具有中性,红色,黄色,绿色和蓝色色调的熟悉对象的数据。根据其他更传统的不对称匹配技术讨论了内存颜色匹配方法的优点。将结果与文献中提供的八种相应颜色数据集进行比较。相应的颜色数据用于测试多个线性(von Kries,RLAB等)和非线性(Hunt&Nayatani)色适应转换(CAT)。发现简单的两步von Kries,从而优化了适应度D以最小化DEu'v'预测误差,在记忆颜色和文献对应的颜色集方面均优于所有其他测试模型,从而预测误差较低用于内存颜色集。预测误差大大小于普通观察者的标准不确定度,并且与CIE u'v'色度图中被认为只是明显的差异相当,从而支持使用基于内存颜色的内部参考来研究色适应机制。

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