Safdar Muhammad, Cui Guihua, Kim Youn Jin, Luo Ming Ronnier
Opt Express. 2017 Jun 26;25(13):15131-15151. doi: 10.1364/OE.25.015131.
A perceptually uniform color space has been long desired for a wide range of imaging applications. Such a color space should be able to represent a color pixel in three unique and independent attributes (lightness, chroma, and hue). Such a space would be perceptually uniform over a wide gamut, linear in iso-hue directions, and can predict both small and large color differences as well as lightness in high dynamic range environments. It would also have minimum computational cost for real time or quasi-real time processing. Presently available color spaces are not able to achieve these goals satisfactorily and comprehensively. In this study, a uniform color space is proposed and its performance in predicting a wide range of experimental data is presented in comparison with the other state of the art color spaces.
长期以来,人们一直希望为广泛的成像应用开发一种感知均匀的色彩空间。这样的色彩空间应该能够用三个独特且相互独立的属性(明度、色度和色调)来表示一个颜色像素。这样的空间在宽色域上应具有感知均匀性,在等色调方向上呈线性,并且能够预测小的和大的颜色差异以及高动态范围环境中的明度。它在实时或准实时处理方面还应具有最低的计算成本。目前可用的色彩空间无法令人满意且全面地实现这些目标。在本研究中,我们提出了一种均匀色彩空间,并将其与其他现有先进色彩空间相比,展示了其在预测广泛实验数据方面的性能。