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Color measurements with a consumer digital camera using spectral estimation techniques
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology, Digital Media.
Digital Printing Center, Mid Sweden University.
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology, Digital Media.ORCID iD: 0000-0001-7557-4904
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology, Digital Media.
2005 (English)In: 14th Scandinavian Conference on Image Analysis, SCIA 2005 / [ed] Heikki Kalviainen, Jussi Parkkinen, Arto Kaarna, Heidelberg, Germany: Springer Verlag , 2005, , 10 p.105-114 p.Conference paper, Published paper (Refereed)
Abstract [en]

The use of spectrophotometers for color measurements on printed substrates is widely spread among paper producers as well as within the printing industry. Spectrophotometer measurements are precise, but time-consuming procedures and faster methods are desirable. The rapid development of digital cameras has opened the possibility to use consumer digital cameras as substitutes for spectrophotometers for certain applications such as production control. Two methods for estimating the reflectance properties of objects from camera RGB measurements using linear estimation techniques combined with linear and non-linear constraints are presented. In the experiments, we have investigated if these techniques can be used to measure the reflectance properties of flat objects such as printed pages of paper. Reflectances were converted to CIELAB color values, and the minimization of color errors were evaluated with CIE color difference formulas. Our experiments show that a consumer digital camera can be used as a fast and inexpensive alternative to spectrophotometers for color measurements on printed substrates.

Place, publisher, year, edition, pages
Heidelberg, Germany: Springer Verlag , 2005. , 10 p.105-114 p.
Series
Lecture Notes in Computer Science, ISSN 1611-3349
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-29058DOI: 10.1007/11499145_12Local ID: 14312ISBN: 978-3-540-26320-3 (print)OAI: oai:DiVA.org:liu-29058DiVA: diva2:249870
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2016-08-31

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Solli, MartinLenz, ReinerKruse, Björn

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • sv-SE
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