Cao Qian, Wan Xiaoxia, Li Junfeng, Liang Jingxing
J Opt Soc Am A Opt Image Sci Vis. 2016 Sep 1;33(9):1860-71. doi: 10.1364/JOSAA.33.001860.
In this paper, we propose a new interim connection space (ICS) called LabLab, which is an updated version of LabPQR, to overcome the drawback that the last three dimensions of LabPQR have no definite colorimetric meanings. We extended and improved the method by which the first three dimensions of LabPQR are deduced to obtain an ICS consisting of two sets of CIELAB values under different illuminants, and the reconstructed spectra from LabLab were obtained by minimizing colorimetric errors by means of the computational formula of the CIE-XYZ tristimulus values combined with least-squares best fit. The improvement obtained from the proposed method was tested to compress and reconstruct the reflectance spectra of the 1950 Natural Color System color chips and more than 50,000 ISO SOCS color patches as well as six multispectral images acquired by multispectral image acquisition systems using 1600 glossy Munsell color chips as training samples. The performance was evaluated by the mean values of color differences between the original and reconstructed spectra under the CIE 1931 standard colorimetric observer and the CIE standard illuminants D50, D55, D65, D75, F2, F7, F11, and A as well as five multichip white LED light sources. The mean and maximum values of the root mean square errors between the original and reconstructed spectra were also calculated. The experimental results show that the proposed three LabLab interim connection spaces significantly outperform principal component analysis, LabPQR, XYZLMS, Fairman-Brill, and LabRGB in colorimetric reconstruction accuracy at the cost of slight reduction of spectral reconstruction accuracy and illuminant independence of color differences of the suggested LabLab interim connection spaces outperform other interim connection spaces. In addition, the presented LabLab interim connection spaces could be quite compatible with the extensively used colorimetric management system since each dimension has definite colorimetric meanings and is perceptually uniform.
在本文中,我们提出了一种名为LabLab的新的中间连接空间(ICS),它是LabPQR的更新版本,以克服LabPQR的最后三个维度没有明确色度意义的缺点。我们扩展并改进了推导LabPQR前三个维度的方法,以获得一个由不同照明条件下的两组CIELAB值组成的ICS,并通过结合CIE-XYZ三刺激值的计算公式和最小二乘最佳拟合,通过最小化色度误差从LabLab获得重建光谱。对所提出方法的改进进行了测试,以压缩和重建1950自然色系统颜色芯片和50,000多个ISO SOCS颜色补丁的反射光谱,以及使用1600个光泽孟塞尔颜色芯片作为训练样本的多光谱图像采集系统采集的六幅多光谱图像。根据CIE 1931标准色度观察者以及CIE标准照明体D50、D55、D65、D75、F2、F7、F11和A以及五个多芯片白色LED光源,通过原始光谱和重建光谱之间的色差平均值来评估性能。还计算了原始光谱和重建光谱之间的均方根误差的平均值和最大值。实验结果表明,所提出的三个LabLab中间连接空间在色度重建精度方面明显优于主成分分析、LabPQR、XYZLMS、Fairman-Brill和LabRGB,代价是光谱重建精度略有降低,并且所建议的LabLab中间连接空间的色差照明独立性优于其他中间连接空间。此外,所提出的LabLab中间连接空间可以与广泛使用的色度管理系统很好地兼容,因为每个维度都有明确的色度意义并且在感知上是均匀的。