For digital camera-based spectra recovery, the spectral reflectance of the object being imaged always needs to be accurately recovered using training samples from available database. Considering the heavy workload when using all samples in database as training samples in practice, a new representative samples selection method is proposed for efficient digital camera-based spectra recovery based on single RGB image. The representative simulation system is firstly constructed through correlation analysis of spectra recovery results of different systems, and based on the representative simulation system, a few number of representative samples are selected from the database based on minimum of the defined simulate spectra recovery error. The effectiveness of the proposed method is evaluated and compared with existing method. As the results show, the proposed method outperforms the existing methods, and the robustness of the selected representative samples is consistent with the database in practical applications.

中文翻译：

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代表性样品的最佳选择，以实现基于数码相机的高效光谱恢复

对于基于数码相机的光谱恢复，始终需要使用可用数据库中的训练样本准确恢复被成像对象的光谱反射率。考虑到在实践中使用数据库中的所有样本作为训练样本的繁重工作量，提出了一种新的代表性样本选择方法，用于基于单个RGB图像的基于数码相机的高效光谱恢复。首先通过对不同系统光谱恢复结果的相关性分析构建代表性模拟系统，并在代表性模拟系统的基础上，根据定义的模拟光谱恢复误差的最小值，从数据库中选取少量代表性样本。评估了所提出方法的有效性，并与现有方法进行了比较。结果显示，