Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Investigating the Possibility of Using Fewer Training Samples: In the Color Prediction Model based on CIEXYZ using an Effective Coverage Map
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Color Reproduction & Publishing)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Color Reproduction & Publishing)
2012 (English)In: CGIV2012 Final Program and Proceeding, 2012, 163-167 p.Conference paper, Oral presentation only (Other (popular science, discussion, etc.))
Abstract [en]

The goal of the present work is to reduce the number of thetraining samples used in our color prediction model based onCIEXYZ using an Effective Coverage Map while keepingsatisfying prediction. A general approach is proposed in thispaper to choose the best reference combination for the trainingsamples. The approach is based on the dot gain behavior ofeach primary ink, which is characterized by three curves usingCIEXYZ tri-stimulus values. The proposed approach is built inour model to predict the color values for the color prints usingtwo different devices, i.e. a laser printer and an inkjet printer.For the laser printer the number of the training samples isreduced from 125 to 64 while still giving quite good result. Theapproach also shows that for the test laser printer it is possibleto further cut this number to 53 with a satisfying result. For theinkjet printer the number of training samples for our model isreduced from 125 to 79 or 64, both giving satisfying results.

Place, publisher, year, edition, pages
2012. 163-167 p.
Keyword [en]
color prediction, training, effective coverage map
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-77742ISBN: 978-0-89208-299-5 (print)OAI: oai:DiVA.org:liu-77742DiVA: diva2:528648
Conference
CGIV2012--6th European Conference on Colour in Graphics, Imaging, and Vision
Available from: 2012-06-13 Created: 2012-05-28 Last updated: 2012-06-13Bibliographically approved

Open Access in DiVA

Investigating the Possibility of Using Fewer Training Samples(447 kB)208 downloads
File information
File name FULLTEXT01.pdfFile size 447 kBChecksum SHA-512
7fb860dedfc5cb4eebca94498b1aa0d21beacebce3f34498f84bd7fae49b8846722435d1a8a29059b15bd7db9d40d076590381f11fb16dfd83587761f8215e2f
Type fulltextMimetype application/pdf

Authority records BETA

QU, YUAN YUANGooran, Sasan

Search in DiVA

By author/editor
QU, YUAN YUANGooran, Sasan
By organisation
Media and Information TechnologyThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 208 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 97 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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