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Constructing a uniform color space for visually lossless color representation and image coding

机译:为视觉上无损的色彩表示和图像编码构建统一的色彩空间

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A uniform color space in terms of just-noticeable differences (JND) to the human eye is important in industry and image processing, as well as for visually lossless image coding and noise evaluations. The method of this paper builds a non-linear color space, by making use of structural analysis with various JND data sets. Through computer simulation, the color space obtained by this method is shown to be superior to conventional ones such as CIELUV in terms of uniformity, and attained a 3-bit reduction in representing chromaticity of RGB color data.
机译:就人眼可察觉的差异(JND)而言,均匀的色彩空间在工业和图像处理以及视觉上无损的图像编码和噪声评估中都很重要。本文的方法通过使用具有各种JND数据集的结构分析来构建非线性色彩空间。通过计算机仿真,显示出通过该方法获得的色彩空间在均匀性方面优于传统的色彩空间,例如CIELUV,并且在表示RGB色彩数据的色度方面降低了3位。

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