Spectral-based color separation using linear regression iteration

Publikationstyp
Journal Article
Publikationsdatum
2006-04-07
Sprache
English
Author
Urban, Philipp 
Grigat, Rolf-Rainer 
Institut
Bildverarbeitungssysteme E-2 
TORE-URI
http://hdl.handle.net/11420/10074
Enthalten in
Color research and application 
Volume
31
Issue
3
Start Page
229
End Page
238
Citation
Color Research and Application 31 (3): 229-238 (2006-06)
Publisher DOI
10.1002/col.20211
Scopus ID
2-s2.0-33646024293
Publisher
Wiley Interscience
The present article will introduce a very simple new method for spectral-based color separation. This method inverts a Yule-Nielsen modified spectral Neugebauer model, utilizing its affine multilinearity in the 1/n-space. By means of linear regression, a sequence of colorant combinations is constructed converging to a colorant combination that approximates the desired reflectance spectrum in the sense of the smallest RMS error. Each iteration step consists mainly of two simple matrix-vector multiplications. With the aid of various simulation experiments, investigations on the speed of convergence are conducted.
Schlagworte
Inversion of spectral models
Printing
Separation
Spectral reproduction
DDC Class
004: Informatik
600: Technik