liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A simple color separation model based on colorimetric and spectral data
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
2013 (English)In: Journal of Print and Media Technology Research, ISSN 2223-8905, Vol. II, no 2, 77-86 p.Article in journal (Refereed) Published
Abstract [en]

A color separation model which separates a target color inside the gamut of a printing system into the combination of process inks used in the system is a crucial part of the printing procedure. A simple color separation model for CMY printing is presented in this paper. It is based on a color prediction model proposed in our previous papers. This color prediction model, which was based on CIEXYZ (CIELAB) values, is extended in this paper to work also for spectral data. Therefore, the color separation model is executable for target colors represented by both CIELAB and spectral data. Two experiments are designed and carried out to evaluate the accuracy of the proposed models. The first experiment proves the accuracy and stability of the forward (color prediction) model. The second experiment shows that our simple inverse model (color separation) has a satisfying accuracy for different target colors in terms of giving less ink consumption and small CIELAB (ΔE94) or small spectrum difference (ΔRMS). The proposed color separation model has the potential to be applied to practical printing systems due to its simplicity and accuracy.

Place, publisher, year, edition, pages
International Association of Research Organizations for the Information, Media and Graphic Arts Industrie (IARIGAI), 2013. Vol. II, no 2, 77-86 p.
Keyword [en]
spectral printing, color separation, color prediction, dot gain, effective coverage map
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-105459OAI: oai:DiVA.org:liu-105459DiVA: diva2:707454
Available from: 2014-03-24 Created: 2014-03-24 Last updated: 2017-12-05

Open Access in DiVA

No full text

Authority records BETA

Gooran, Sasan

Search in DiVA

By author/editor
Gooran, Sasan
By organisation
Media and Information TechnologyThe Institute of Technology
In the same journal
Journal of Print and Media Technology Research
Other Engineering and Technologies not elsewhere specified

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 183 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf