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Peng Xu,Jueqin Qiu,Haisong Xu,Zhengnan Ye 한국색채학회 2017 AIC 2017 Jeju Vol.2017 No.10
The Chinese ink and wash painting is a special type of Chinese classic paintings. In this study, the spectral image of the Chinese ink and wash painting was reconstructed with multispectral imaging based on a self-training method. By partitioning the multispectral images of the painting with k-means clustering algorithm, the training samples are directly selected from the painting itself to restrain the deterioration of the spectral estimation caused by the material inconsistence between the training samples and the object painting in the conventional spectral reconstruction technique. In each cluster, only one sample which owns minimum mean distance to all the other samples residing in the cluster is chosen as the training sample. The spectral image of a Chinese ink and wash painting was reconstructed with a filter wheel based multispectral camera, indicating that the recovered spectral reflectance of the Chinese ink and wash painting based on this self-training method is more accurate than that based on the commercial color target.