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首页> 外文会议>Tenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications Nov 12-15, 2002 Scottsdale, Arizona, USA >Meet iCAM: A Next-Generation Color Appearance Model
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Meet iCAM: A Next-Generation Color Appearance Model

机译：认识iCAM：下一代色彩外观模型

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摘要

For over 20 years, color appearance models have evolved to the point of international standardization. These models are capable of predicting the appearance of spatially-simple color stimuli under a wide variety viewing conditions and have been applied to images by treating each pixel as an independent stimulus. It has been more recently recognized that revolutionary advances in color appearance modeling would require more rigorous treatment of spatial (and perhaps temporal) appearance phenomena. In addition, color appearance models are often more complex than warranted by the available visual data and limitations in the accuracy and precision of practical viewing conditions. Lastly, issues of color difference measurement are typically treated separate from color appearance. Thus, the stage has been set for a new generation of color appearance models. This paper presents one such model called iCAM, for image color appearance model. The objectives in formulating iCAM were to simultaneously provide traditional color appearance capabilities, spatial vision attributes, and color difference metrics, in a model simple enough for practical applications. The framework and initial implementation of the model are presented along with examples that illustrate its performance for chromatic adaptation, appearance scales, color difference, crispening, spreading, high-dynamic-range tone mapping, and image quality measurement. It is expected that the implementation of this model framework will be refined in the coming years as new data become available.
机译：二十多年来，颜色外观模型已经发展到国际标准化的水平。这些模型能够在多种观察条件下预测空间简单的颜色刺激的出现，并且通过将每个像素视为独立的刺激而应用于图像。最近已经认识到，颜色外观建模的革命性进步将要求对空间（也许是时间）外观现象进行更严格的处理。另外，颜色外观模型通常比可用的视觉数据所保证的复杂，并且在实际观看条件的准确性和精确性方面也存在局限性。最后，色差测量问题通常与颜色外观分开处理。因此，已经为新一代颜色外观模型奠定了基础。本文提出了一种称为iCAM的模型，用于图像颜色外观模型。制定iCAM的目标是，以一种对于实际应用足够简单的模型，同时提供传统的颜色外观功能，空间视觉属性和色差指标。介绍了该模型的框架和初始实现，并举例说明了该模型在色适应，外观比例，色差，松脆度，散布，高动态范围色调映射和图像质量测量方面的性能。随着新数据的到来，预计该模型框架的实施将在未来几年内得到完善。

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