عنوان مقاله [English]
In this research, the normality of reflectance spectra of two different black dataset including of printed papers and fabrics are investigated. Then, by applying of principal component analysis technique (PCA) the reflectance domain of both dataset are compressed and reconstructed in restricted spaces. Results show that none of black papers and fabrics obeys from normal distribution. Besides, while both dataset benefit from smooth reflectance behaviors, the black papers behave more linear than black fabrics and could be described by lower spectral dimensions.