Spectral-based printer modeling and characterization (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Spectral-based printer modeling and characterization (Articolo in rivista) (literal)

Anno

• 2005-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1117/1.1900137 (literal)

Alternative label

• Zuffi S., Schettini R., Mauri G. (2005)
  Spectral-based printer modeling and characterization
  in Journal of electronic imaging (Online)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Zuffi S., Schettini R., Mauri G. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.cs.brown.edu/~zuffi/Site/Welcome_files/2005_Zuffi_JEI.pdf (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 14/2 (literal)

Rivista

• Journal of electronic imaging (Rivista)

Note

• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• S. Zuffi, ITC-CNR R. Schettini, Universita' di Milano Bicocca G. Mauri, Universita' di Milano Bicocca (literal)

Titolo

• Spectral-based printer modeling and characterization (literal)

Abstract

• Spectral characterization involves building a model that relates the device dependent representation to the reflectance func- tion of the printed color, usually represented with a high number of reflectance samples at different wavelengths. Look-up table-based approaches, conventionally employed for colorimetric device char- acterization cannot be easily scaled to multispectral representa- tions, but methods for the analytical description of devices are re- quired. The article describes an innovative analytical printer model based on the Yule-Nielsen Spectral Neugebauer equation and for- mulated with a large number of degrees of freedom in order to ac- count for dot-gain, ink interactions, and printer driver operations. To estimate our model's parameters we use genetic algorithms. No as- sumption is made concerning the sequence of inks during printing, and the printers are treated as RGB devices (the printer-driver op- erations are included in the model). We have tested our character- ization method, which requires only about 130 measurements to train the learning algorithm, on four different inkjet printers, using different kinds of paper and drivers. The test set used for model evaluation was composed of 777 samples, uniformly distributed over the RGB color space. (literal)

Prodotto di

• Applicazioni informatiche a supporto dell'innovazione di processi/prodotti della costruzione (SP.P05.001.001) (Modulo)

Autore CNR

• RAIMONDO SCHETTINI (Unità di personale interno)
• SILVIA ZUFFI (Persona)

Incoming links:

Autore CNR di

• SILVIA ZUFFI (Persona)
• RAIMONDO SCHETTINI (Unità di personale interno)

Prodotto

• Applicazioni informatiche a supporto dell'innovazione di processi/prodotti della costruzione (SP.P05.001.001) (Modulo)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Journal of electronic imaging (Rivista)