The Use of a Selective Database Technique in Order to Recover the Spectra of a Series of Acrylic Paints by the Principle Component Analysis‎by the Principle Component Analysis

A procedure for an efficient recovering of reflectance spectra of acrylic paint samples from cie tristimulus color values is described by fixing a certain criteria based on color difference value, the proposed technique preliminarily selects a series ofsuitable samples from a main dataset containing the reflectance values ofa series ofdifferent acrylic paint samples, based on the color specifications ofgiven samples. in this way, a series of different databases could be formed around a particular sample. the well-known principal-components linear model was used to recover the spectral data from their corresponding color coordinates by using only 3 basis functions. thesurfacespectra ofasetof2802 samples are collectedfor the recovery ofthe reflectancevalues of acrylic paint samples whose tristimulus values were known. the role of the value of color difference for selecting suitable samples is discussed. the recovered spectra achieved by this methodshow considerableimprovements interms ofroot mean squarer(rms) error andgoodnessfittingcoefficient as well as color difference values under different illuminants as compared to the recovery from the main database.