We introduce a novel ink selection method for spectral printing. The ink selection algorithm takes a spectral image and a set of inks as input, and selects a subset of those inks that results in optimal spectral reproduction. We put forward an optimization formulation that searches a huge combinatorial space based on mixed integer programming. We show that solving this optimization in the conventional reflectance space is intractable. The main insight of this work is to solve our problem in the spectral absorbance space with a linearized formulation. The proposed ink selection copes with large-size problems for which previous methods are hopeless. We demonstrate the effectiveness of our method in a concrete setting by lifelike reproduction of handmade paintings. For a successful spectral reproduction of high-resolution paintings, we explore their spectral absorbance estimation, efficient coreset representation, and accurate data-driven reproduction.

中文翻译：

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用于光谱再现的混合整数墨水选择

我们介绍了一种用于光谱打印的新型墨水选择方法。墨水选择算法将光谱图像和一组墨水作为输入，并选择这些墨水的子集以实现最佳光谱再现。我们提出了一种基于混合整数规划搜索巨大组合空间的优化公式。我们表明，在传统反射空间中解决这种优化是棘手的。这项工作的主要见解是用线性化公式解决我们在光谱吸收空间中的问题。建议的墨水选择可以解决以前的方法无法解决的大尺寸问题。我们通过栩栩如生的手工绘画复制展示了我们方法在具体环境中的有效性。对于高分辨率绘画的成功光谱再现，