Use of three tristimulus values from surface reflectance spectra to calculate the principal components to reconstruct these spectra by using only three eigenvectors

  1. Ayala, F. 2
  2. Echavarri, J.F. 2
  3. Renet, P. 2
  4. Negueruela, A.I. 1
  1. 1 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Revista:
Journal of the Optical Society of America A: Optics and Image Science, and Vision

ISSN: 1084-7529

Any de publicació: 2006

Volum: 23

Número: 8

Pàgines: 2020-2026

Tipus: Article

beta Ver similares en nube de resultados
DOI: 10.1364/JOSAA.23.002020 SCOPUS: 2-s2.0-33748677275 WoS: WOS:000239193200028 GOOGLE SCHOLAR

Altres publicacions en: Journal of the Optical Society of America A: Optics and Image Science, and Vision

Objectius de Desenvolupament Sostenible

Resum

The division of Color Space into ten zones, corresponding to the ten Munsell hues, allows a good reconstruction of surface reflectance spectra using just three eigenvectors, obtained by applying principal components analysis to the reflectance spectra of the Munsell Atlas specimens (model group), although the basis vectors obtained are different for each subspace. The use of the tristimulus values from each measured spectrum, calculated with the Illuminant D65 and the Standard Observer CIE64 to obtain the principal components necessary to reconstruct the spectrum, allows a very high degree of metamerism to be attained between the two spectra (measured and reconstructed). Furthermore, this method of calculating the principal components allows reconstruction of the spectra of specimens from other sample sets that differ from the model group used in the PCA. The colorimetric accuracy obtained the new sample sets is similar to that obtained for the model group. © 2006 Optical Society of America.