Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Angular Color Prediction Model for Anisotropic Halftone Prints on a Metallic Substrate
Ecole Polytechnique Federale de Lausanne, Switzerland.
RISE - Research Institutes of Sweden (2017-2019), Bioekonomi, Papperstillverkning och förpackningar.ORCID-id: 0000-0003-1501-2912
RISE - Research Institutes of Sweden (2017-2019), Bioekonomi, Papperstillverkning och förpackningar.ORCID-id: 0000-0002-2624-5693
Ecole Polytechnique Federale de Lausanne, Switzerland.
2019 (engelsk)Inngår i: Journal of Imaging Science and Technology, ISSN 1062-3701, E-ISSN 1943-3522, Vol. 63, nr 4, s. 040407-1-040407-11Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Under specular reflection, non-isotropic halftones such as line halftones printed on an ink-receiving plastic layer superposed with a metallic layer change their colors upon in-plane rotation of the print. This color change is due to the orientation-dependent optical dot gain of the halftone. A strong dot gain occurs when the incident light is perpendicular to the halftone line structure. A color prediction model is proposed which predicts under specular reflection the color of cyan, magenta and yellow line halftones as a function of the azimuthal rotation angle, the incident angle and the line frequency. The model is calibrated by measuring 17 reflectances at the (25 : 25) measurement geometry, with the incident light parallel to the halftone lines. The model has been tested for several azimuthal rotation and incident viewing angles, each time for 125 different cyan, magenta and yellow ink surface coverages.

sted, utgiver, år, opplag, sider
2019. Vol. 63, nr 4, s. 040407-1-040407-11
Emneord [en]
colour, halftone, printing, metallic substrate, prediction model
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-40764DOI: 10.2352/J.ImagingSci.Technol.2019.63.4.040407Scopus ID: 2-s2.0-85075549172OAI: oai:DiVA.org:ri-40764DiVA, id: diva2:1371376
Tilgjengelig fra: 2019-11-19 Laget: 2019-11-19 Sist oppdatert: 2023-05-25bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Yang, LiTeleman, Anita

Søk i DiVA

Av forfatter/redaktør
Yang, LiTeleman, Anita
Av organisasjonen
I samme tidsskrift
Journal of Imaging Science and Technology

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 55 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.43.0