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Colour-Differences Evaluation Using Colour Appearance Models

机译:使用颜色外观模型进行颜色差异评估

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摘要

Colour appearance models (CAM) such as CIECAM97s and CIECAM02 were originally developed to predict the change of colour appearance under different viewing conditions. This paper describes the development of CAM extensions for evaluating colour-differences. The performances of the original CAMs and their extensions were tested using two types of colour-difference data: large and small magnitude colour-differences. The results showed that the CIECAM02 based models in general gave a more accurate prediction than the CIECAM97s based models. The modified version of CIECAM02 gave satisfactory performance in predicting different data sets (better than or equal to the best available uniform colour spaces and colour- difference formulae). This strongly suggests that a universal colour model based upon a colour appearance model can be achieved for all colorimetric applications: colour specification, colour difference and colour appearance.
机译:最初开发了诸如CIECAM97和CIECAM02之类的颜色外观模型(CAM),以预测不同观看条件下颜色外观的变化。本文介绍了用于评估色差的CAM扩展的开发。原始CAM及其扩展的性能使用两种类型的色差数据进行了测试:大和小幅度色差。结果表明,与基于CIECAM97s的模型相比,基于CIECAM02的模型通常给出更准确的预测。修改后的CIECAM02版本在预测不同数据集方面表现出令人满意的性能(优于或等于最佳可用统一色彩空间和色差公式)。这有力地表明,可以针对所有比色应用实现基于颜色外观模型的通用颜色模型:颜色规格,色差和颜色外观。

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