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dc.contributor.authorBerns, Royen_US
dc.contributor.authorShyu, M.J.en_US
dc.date.accessioned2006-12-18T17:23:52Zen_US
dc.date.available2006-12-18T17:23:52Zen_US
dc.date.issued1995-10-01en_US
dc.identifier.citationJournal of Electronic Imaging 4N4 (1995) 360-372en_US
dc.identifier.issn1017-9909en_US
dc.identifier.urihttp://hdl.handle.net/1850/3084en_US
dc.descriptionRIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/
dc.description.abstractA desktop drum scanner was colorimetrically characterized to an average CIELAB error of less than unity for Kodak Ektachrome transparencies and Ektacolor paper, and Fuji Photo Film Fuflchrome transparencies and Fujicolor paper. Independent verification on spectrally similar materials yielded an average z Eb error of less than 2. 1. The image formation of each medium was first modeled using either Beer-Bouguer or Kubelka-Munk theories and eigenvector analysis. Scanner digital values were then empirically related to dye concentrations using polynomial step-wise multiplelinear regression. These empirical matrices were required because the scanner's system spectral responsivities had excessively wide bandwidths. From these estimated dye concentrations, either a spectral transmittance or spectral reflectance factor was calculated from an a priori spectral analysis of each medium. The spectral estimates can be used to calculate tristimulus values for any illuminant and observer of interest. The methods used in this research are based on historical methods commonly used in photographic science.en_US
dc.description.sponsorshipThis research was kindly supported by Dupont Printing and Publishing Division and Howtek.en_US
dc.format.extent372045 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherInternational Society for Optical Engineering (SPIE)en_US
dc.relation.ispartofseriesvol. 4en_US
dc.relation.ispartofseriesno. 4en_US
dc.subjectColorimetryen_US
dc.subjectModelsen_US
dc.titleColorimetric characterization of a desktop drum scanner using a spectral modelen_US
dc.typeArticleen_US
dc.identifier.urlhttp://dx.doi.org/10.1117/12.218935


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