中文摘要：

目的针对色度色域映射中出现的同色异谱现象，提出一种基于点集模型的光谱域映射算法。方法以设备采样样本为基础，在LabPQR空间内构造色度色域和PQR色域，以此描述光谱色域；采用分级映射方法，在Lab和PQR等2个子空间内对目标光谱依次判断并进行映射。结果以munsell1269个色块为检验样本进行试验，结果显示：提出算法色度误差为1．0779，光谱误差为5．12％。结论提出算法能够有效降低同色异谱现象，并拥有较高的光谱输出精度，映射之后的结果能够满足在多种光源下与目标的视觉匹配。

英文摘要：

In order to solve the metamerism phenomenon which happened in colorimetric gamut mapping, a new spectral gamut mapping algorithm was proposed based on point set model. Firstly, the colorimetric gamut and PQR gamut was constructed on the basis of device sample, and the whole spectral gamut of device was the combination of colorimetric gamut and PQR gamut. Then, the hierarchical mapping method was used to judge and mapping the target spectrum within Lab and PQR spaces. The munsell 1269 samples were tested, and the result showed that the color difference was 1.0079, and the spectral precision was 5.12%. The experiment data showed the new method has high spectral output precision, which can reduce the metamerism phenomenon effectively. Moreover, the result of mapping can satisfy the visual matching with the target under a variety of light source.