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The Dark Side of CIELAB

机译:CIELAB的阴暗面

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摘要

Standardized in 1976 as a uniform color space, CIELAB is extensively utilized in color science and engineering applications. CIELAB provides both a color difference formula and correlates for common perceptual descriptors of color. Deficiencies in both areas are well-known, and based on these known limitations, numerous fixes have been developed yielding alternative color difference formulae that are derived as modifications of the color difference in CIELAB. In addition, several new color appearance spaces have also been proposed as modifications of the basic CIELAB framework.In this paper, we point out other, lesser-known and poorly-appreciated, limitations of CIELAB that occur particularly in the dark regions of color space. We demonstrate via examples, how these limitations not, only cause performance compromises but lead to fundamental breakdowns in system optimization and design problems, making CIELAB unusable in these problems. We consider the reasons why these fundamental limitations were overlooked in the original development of CIELAB and analyze the mathematical representations contributing to the undesired behavior. We argue that fundamental new research is required to overcome this dark side of CIELAB; the development of uniform color spaces and new color appearance spaces must be revisited afresh using new experimental data and keeping in mind newer devices and applications.
机译:CIELAB于1976年标准化,成为统一的色彩空间,被广泛应用于色彩科学和工程应用中。 CIELAB提供了色差公式并与常见的颜色感知描述相关。这两个方面的缺陷都是众所周知的,并且基于这些已知的局限性,已经开发了许多解决方案,从而产生了替代色差公式,这些公式是CIELAB中色差的修改得出的。此外,还提出了一些新的颜色外观空间,作为对基本CIELAB框架的修改。在本文中,我们指出了CIELAB的其他一些鲜为人知且鲜为人知的局限性,特别是在颜色空间的暗区中。我们通过示例演示这些限制如何不仅会导致性能下降,而且会导致系统优化和设计问题的根本崩溃,从而使CIELAB在这些问题中无法使用。我们考虑了为什么在CIELAB的原始开发中忽略这些基本限制的原因,并分析了导致不良行为的数学表示形式。我们认为,需要新的基础研究来克服CIELAB的阴暗面。必须使用新的实验数据并牢记更新的设备和应用,重新审视统一色彩空间和新色彩外观空间的开发。

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