Kubelka-Munk theory for efficient spectral printer modeling

摘要: In the context of spectral color image reproduction by multi-channel inkjet printing a key challenge is to accurately model colorimetric and behavior printer. A common approach for this modeling assume that the resulting reflectance certain ink combination can be modeled as convex so-called Neugebauer Primaries (NPs); known Neugebauer Model. Several extensions model exist, such the Yule-Nielsen Modified Spectral (YNSN) model. However, number primaries increases, the number NPs increases exponentially; poses practical problem reproduction. In work, well Kubelka-Munk theory used estimate reflectances Neugebauer Primaries instead measuring them, subsequently we use these estimated basis our printer modeling. We have evaluated experimentally on several different paper types HP Deskjet 1220C CMYK printer Xerox Phaser 7760 laser printer, using both conventional spectral YNSN also investigated hybrid with mixed NPs, half measured half estimated. Using find achieve not only cheap less time consuming establishment, but also, somewhat unexpectedly, improved precision over models real measurements NPs.