Classification of Paper Images to Predict Substrate Parameters Prior to Print

  • Matthias Scheller Lichtenauer
  • Safer Mourad
  • Peter Zolliker
  • Klaus Simon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5646)

Abstract

An accurate characterization of the substrate is a prerequisite of color management in print. The use of standard ICC profiles in prepress leaves it to the printer to match the fixed substrate characteristics contained in these profiles. This triggers the interest in methods to predict, if a given ink, press and paper combination complies with a given characterization. We present an approach to compare physical and optical characteristics of papers in order to achieve such a prediction of compliance by classification methods. For economical and ecological reasons it is preferable to test paper without printing it. We therefore propose non-destructive methods.

Keywords

image classification color management dotgain tone value increase ISO 12647 non-destructive testing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Matthias Scheller Lichtenauer
    • 1
  • Safer Mourad
    • 1
  • Peter Zolliker
    • 1
  • Klaus Simon
    • 1
  1. 1.Media Technology LabSwiss Federal Laboratories for Materials Testing and ResearchDuebendorfSwitzerland

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