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A Psychophysical Evaluation of a Gamut Expansion Algorithm Based on Chroma Mapping II: Expansion within Object Color Data Bases

机译:基于色度映射II的色域扩展算法的心理物理评估:对象颜色数据基础的扩展

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Recently, wide-gamut monitors and printers have begun to appear in the market. However, there are no appropriate tools for evaluating color reproduction in such image output devices. This study describes a method to create the image data for evaluation of the wide-gamut devices. The method expands the gamut of the source image in a manner that a color in the image is mapped into a color with higher chroma, which is restricted within maximum chroma of Standard Object Color Spectra (SOCS) database and Pointers database, and the same hue and lightness, by using a chroma mapping function. The method was applied to sRGB images such as XYZ-SCID images to make the test images for evaluating wide-gamut output devices. In order to find the optimal chroma mapping function, a psychophysical experiment was performed, where the test images made with three types of mapping functions were visually evaluated. Results showed that observers judged the test images expanded with nonlinear functions were the best quality. Moreover, from a cluster analysis of observers it was found that there are two groups that feel high chroma of image natural and nonnatural.
机译:最近,广泛的色域监视器和打印机已经开始出现在市场上。然而,没有适当的工具用于评估这种图像输出设备中的颜色再现。本研究描述了一种创建用于评估宽方形设备的图像数据的方法。该方法以一种方式扩展源图像的色域,即图像中的颜色被映射到具有更高色度的颜色,这受到标准对象颜色谱(SoC)数据库和指针数据库的最大色度,以及相同的色调和光照,通过使用色度映射功能。该方法被应用于诸如XYZ-SCID图像的SRGB图像,以制作用于评估宽域输出设备的测试图像。为了找到最佳的色度映射功能,进行了一种心理物理实验,其中目视评估用三种类型的映射功能进行的测试图像。结果表明,观察者判断使用非线性功能扩展的测试图像是最佳质量。此外,从观察者的聚类分析中发现,发现有两组患有自然和非自然的高色度。

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