Reflectance spectra recovery with non-negativity constraints
Reflectance spectra recovery with non-negativity constraints
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DOI：
10.1109/ispacs.2016.7824687
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发表时间：
2016-10
期刊：
影响因子：
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通讯作者：
K. Inoue;K. Hara;K. Urahama
中科院分区：
文献类型：
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作者：
K. Inoue;K. Hara;K. Urahama
我们提出了两种方法来恢复给定的色度数据的反射光谱，通过使用反射光谱的非负约束。我们将反射光谱的恢复问题转化为一个非负最小二乘问题，并用两种迭代方法求解。实验结果表明，这两种方法得到了相似的恢复结果，其中Macbeth Colorimeter数据用于恢复纽介堡原色的反射光谱。我们还将恢复的反射光谱转换成三刺激值来可视化它们，其中引入了一个特别的缩放操作来使恢复的颜色变亮。
We propose two methods for recovering the reflectance spectra of given colorimetric data by using the nonnegative constraints in reflectance spectra. We formulate the problem of reflectance spectra recovery as a non-negative least squares problem and solve it with two iterative methods. Experimental results demonstrate that the two methods give similar recovery results, where Macbeth ColorChecker data are used for recovering the reflectance spectra of Neugebauer primary colors. We also transform the recovered reflectance spectra into tristimulus values to visualize them, where an ad hoc scaling operation is introduced for brightening the recovered colors.