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首页> 外文会议>Conference on Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts Ⅵ Jan 23-26, 2001, San Jose, USA >Chromatic Adaptation Performance of Different RGB Sensors
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Chromatic Adaptation Performance of Different RGB Sensors

机译：不同RGB传感器的色适应性能

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摘要

Chromatic adaptation transforms are used in imaging systems to map image appearance to colorimetry under different illumination sources. In this paper, the performance of different chromatic adaptation transforms (CAT) is compared with the performance of transforms based on RGB primaries that have been investigated in relation to standard color spaces for digital still camera characterization and image interchange. The chromatic adaptation transforms studied are von Kries, Bradford, Sharp, and CMCCAT2000. The RGB primaries investigated are ROMM, ITU-R BT.709, and "prime wavelength" RGB. The chromatic adaptation model used is a von Kries model that linearly scales post-adaptation cone responses with illuminant dependent coefficients. The transforms were evaluated using 16 sets of corresponding color data. The actual and predicted tristimulus values were converted to CIELAB, and three different error prediction metrics, AE_(Lab) , DELTA E_(CIE94), and DELTA E_(CMC (1:1)) were applied to the results. One-tail Student-t tests for matched pairs were calculated to compare if the variations in errors are statistically significant. For the given corresponding color data sets, the traditional chromatic adaptation transforms, Sharp CAT and CMCCAT2000, performed best. However, some transforms based on RGB primaries also exhibit good chromatic adaptation behavior, leading to the conclusion that white-point independent RGB spaces for image encoding can be defined. This conclusion holds only if the linear von Kries model is considered adequate to predict chromatic adaptation behavior.
机译：色彩适应变换用于成像系统中，以将图像外观映射到不同照明源下的比色法。在本文中，将不同的色彩适应变换（CAT）的性能与基于RGB原色的变换的性能进行了比较，该RGB原色已经针对数字静态相机表征和图像交换针对标准色彩空间进行了研究。研究的色彩适应转换是von Kries，Bradford，Sharp和CMCCAT2000。研究的RGB原色是ROMM，ITU-R BT.709和“原色波长” RGB。所使用的色适应模型是von Kries模型，该模型线性地缩放依赖于光源的系数的适应后锥体响应。使用16组相应的颜色数据评估了转换。将实际的和预测的三刺激值转换为CIELAB，并将三个不同的误差预测指标AE_（Lab），DELTA E_（CIE94）和DELTA E_（CMC（1：1））应用于结果。计算匹配对的单尾学生t检验，以比较误差变化是否具有统计学显着性。对于给定的相应色彩数据集，传统的色彩适应转换Sharp，CAT和CMCCAT2000表现最佳。但是，某些基于RGB原色的变换也表现出良好的色彩适应行为，从而得出结论，可以定义用于图像编码的白点独立RGB空间。仅在认为线性von Kries模型足以预测色适应行为时，此结论成立。

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