Effect of a standard colorimetric observer on the reconstruction of reflectance spectra of coloured fabrics

Abstract

Principal component analysis is a statistical and mathematical method in colour science, which can be used in compression and reconstruction of reflectance spectra. The goal of this work is to study the effect of standard colorimetric observers and illuminant source combinations on the reconstruction of reflectance spectra of textile fabrics. Several computational approaches were introduced by using different combinations of D65, A and D75 illuminant sources and 2° and 10° standard colorimetric observers in reconstruction reflectance spectra from corresponding tristimulus values. The obtained results indicate that the accuracy of the estimation depends on the type of illuminant sources, standard observers and number of principal components. The best result was achieved by a 2° standard observer with more than four principal components. The optimal numbers of principal components for achieving the imperceptible colorimetric accuracy are 4 and 6 for 2° and 10° standard observers, respectively.