目的 研究光谱反射率重建算法， 解决各种物体颜色的光谱反射率重建精度问题。方法 通过高精度多光谱成像系统获取实验样本的系统响应值， 分光光度计获取样本的光谱反射率， 采用Wiener估计法、 自适应维纳估计法和提出的优化维纳估计法， 对待测样本实验数据进行光谱重建， 并评价重建结果。结果 在3种光谱重建算法仿真实验中， 提出算法的均方根误差平均值为0.0355， 平均CIE1976色差为1.4349， 优于其他2种算法。结论 在光谱重建算法的研究中， 基于优化的维纳估计算法可以有效提高光谱的重建精度， 可应用于实际的多光谱成像复制中。

A spectral reflectance reconstruction algorithm was studied in the paper, in order to improve the accuracy of the reconstructed spectral reflectance of the colors of different objects. The system response values of each color in the test sample were obtained by high-precision multi-spectral imaging system. And the spectral reflectance values of the colors were measured by spectrophotometer. The spectral reconstruction of the sample data was conducted with Wiener, Adaptive Wiener and the proposed algorithms, and the reconstruction results of the three algorithms were evaluated. The experiment results showed that the root-mean-square-error of the proposed method was 0.0355, and the average color difference was 1.4349, outperforming the other two algorithms in terms of both spectral and colorimetric accuracy. In conclusion, the proposed method had effective performance in improving the spectral reconstruction precision, and can be applied to multi-spectral imaging reproduction.