PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Optimal physical primaries of spectral color information

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A new method for selection of optimal physical primaries is introduced. The reflectance spectra of 1269 matt Munsell color chips are used as a universal physical dataset and the most independent samples are extracted and used as actual primaries. The efficiency of selected primaries is compared with those obtained from principal component analysis (PCA), non-negative matrix factorization (NNMF) and non-linear principal component analysis (NLPCA) techniques. The performances of chosen primaries are evaluated by calculation of root mean square (RMS) errors, the goodness of fit coefficient (GFC) and the color difference (ΔE) values between the original and the reconstructed spectra.
Czasopismo
Rocznik
Strony
913--924
Opis fizyczny
Bibliogr. 19 poz., rys., wykr.
Twórcy
autor
  • Department of Textile Engineering, Amirkabir University of Technology, Tehran, Iran
autor
Bibliografia
  • [1] HAWKYARD C.J., Synthetic reflectance curves by subtractive colour mixing, Journal of the Society of Dyers and Colourists 109(7–8), 1993, pp. 246–251.
  • [2] ESLAHI N., AMIRSHAHI S.H., AGAHIAN F., Recovery of spectral data using weighted canonical correlation regression, Optical Review 16(3), 2009, pp. 296–303.
  • [3] COHEN J.B., Dependency of the spectral reflectance curves of the Munsell color chips, Psychonomic Science 1, 1964, pp. 369–370.
  • [4] FAIRMAN H.S., BRILL M.H., The principal components of reflectances, Color Research and Application 29(2), 2004, pp. 104–110.
  • [5] GARCÍA-BELTRÁN A., NIEVES J.L., HERNÁNDEZ-ANDRÉS J., ROMERO J., Linear bases for spectral reflectance functions of acrylic paints, Color Research and Application 23(1), 1998, pp. 39–45.
  • [6] MALONEY L.T., Evaluation of linear models of surface spectral reflectance with small numbers of parameters, Journal of the Optical Society of America A 3(10), 1986, pp. 1673–1683.
  • [7] AGAHIAN F., AMIRSHAHI S.A., AMIRSHAHI S.H., Reconstruction of reflectance spectra using weighted principal component analysis, Color Research and Application 33(5), 2008, pp. 360–371.
  • [8] DI-YUAN TZENG, BERNS R.S., A review of principal component analysis and its applications to color technology, Color Research and Application 30(2), 2005, pp. 84–98.
  • [9] DEL FRATE F., SCHIAVON G., Nonlinear principal component analysis for the radiometric inversion of atmospheric profile by using neural networks, IEEE Transactions on Geoscience and Remote Sensing 37, 1999, p. 2335.
  • [10] BERNS R.S., A generic approach to color modeling, Color Research and Application 22(5), 1997, pp. 318–325.
  • [11] BUCHSBAUM G., BLOCH O., Color categories revealed by non-negative matrix factorization of Munsell color spectra, Vision Research 42(5), 2002, pp. 559–563.
  • [12] AMIRSHAHI S.H., AMIRSHAHI S.A., Adaptive non-negative bases for reconstruction of spectral data from colorimetric information, Optical Review 17(6), 2010, pp. 562–569.
  • [13] WESTLAND S., RIPAMONTI C., Computational Color Science Using MATLAB, Wiley, West Sussex, 2004.
  • [14] MALONEY L.T., WANDELL B.A., Color constancy: a method for recovering surface spectral reflectance, Journal of the Optical Society of America A 3(1), 1986, pp. 29–33.
  • [15] KRAMER M.A., Nonlinear principal component analysis using autoassociative neural networks, AIChE Journal 37(2), 1991, pp. 233–243.
  • [16] CICHOCKI A., ZDUNEK R., ANH HUY PHAN, SHUN-ICHI AMARI, Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-Way Data Analysis and Blind Source Separations, Wiley, New York, 2009.
  • [17] HARDEBERG J.Y., Acquisition and reproduction of colour images: colorimetric and multispectral approaches, PhD Thesis, École Nationale Supérieure des Télécommunications, 1999.
  • [18] Spectral Database, University of Joensuu Color Group, available at: http://spectral.joensuu.fi/
  • [19] KOHONEN O., PARKKINEN J., JÄÄSKELÄINEN T., Databases for spectral color science, Color Research and Application 31(5), 2006, pp. 381–390
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8e2a5ed4-fdb7-4f5c-a954-4525d6e8e946
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.