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Combined Matrix Based Determination of Control Values for a 6-Primary Display Considering Different Observers

机译:考虑不同观察者的六主显示器控制值的组合矩阵确定

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In contrast to three primary displays, multi-primary displays provide an essential enlargement of the color gamut and a higher degree of freedom to reproduce colors. The degree of freedom can be used to optimize color differences between color stimuli of the reproduction and the original for different observers. The simplest and least time consuming approach to control the primaries from input stimuli is the application of a matrix. Yet, one matrix is performing well for a certain number of stimuli only. Another matrix might achieve improved results for other stimuli but is performing worse for the first group. The basic idea of the algorithm presented here is to combine different matrices to fill the gap between oppositional requirements and to obtain adequate results in face of expense and quality. Altogether, four different matrices have been chosen in this study. None of the four matrices is appropriate on its own to achieve small color differences as desired for all colors. The matrices are constructed from the optimization of color differences for different observers (24 in total) and a large number of typical color stimuli. To display a specific color stimulus, one of the four matrices is selected with respect to minimum color errors for all observers. By combining different matrices, a fast control of a display at high color quality is realized.
机译:与三个主要显示器相反,多主要显示器提供了色域的基本扩大和更高的复制颜色自由度。自由度可用于优化复制品和原始图片的颜色刺激之间的色差,以供不同的观察者使用。从输入刺激中控制原色的最简单,最省时的方法是矩阵的应用。然而,一个矩阵仅在一定数量的刺激下表现良好。另一个矩阵可能会为其他刺激获得更好的结果,但对于第一组却表现较差。此处提出的算法的基本思想是组合不同的矩阵,以填补对立要求之间的空白,并在费用和质量上取得足够的结果。在这项研究中,总共选择了四个不同的矩阵。四种矩阵都不适合单独实现所有颜色所需的较小色差。矩阵是通过针对不同观察者(总共24个)的色差优化和大量典型色刺激来构造的。为了显示特定的颜色刺激,相对于所有观察者的最小颜色误差,选择四个矩阵之一。通过组合不同的矩阵,实现了对具有高色彩质量的显示器的快速控制。

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