To solve the problems in color reproduction process caused by the high dimension number of the color spectral reflectance information. Several mainstream spectral dimension reduction methods including principal component analysis, LabPQR, WSPCA and WSPCAplus were used to realize the spectral information filtering for color reproduction. Then these dimension reduction methods were evaluated from the aspects of spectral accuracy, colorimetric accuracy and color difference stability in transformation of the light source. The experiment proved that the spectral accuracy of PCA was the highest, the spectrum error was only 0.0076, but its performance in colorimetric accuracy and color difference stability in transformation of the light source was not good. LabPQR achieved a good balance between spectral accuracy and colorimetric accuracy, but the color difference was not stable when the light source was changed. WSPCA eliminated the influence of light source to keep the stability of the color difference, and guaranteed the colorimetric accuracy at the same time, but it sacrificed the spectral accuracy. Based on WSPCA, WSPCAplus improved the spectral accuracy to 0.0081. The results have a certain referencing value for the selection of dimension reduction method in color reproduction process.