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)


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.


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


  1. 1.
    Hunt, R.: The Reproduction of Colour, 5th edn., pp. 684–689. Fountain Press, Kingston-upon-Thames (1995)Google Scholar
  2. 2.
    Downey, A., Hengemihle, F.: The TAPPI Standard Paper Materials Collection of the Library of Congress, Library of Congress Preservation and Conservation Microscopy Laboratory (2006)Google Scholar
  3. 3.
    Neugebauer, H.: Die theoretischen Grundlagen des Mehrfarbendruckes. Z. Wiss. Photogr. 36, 73–89 (1937)Google Scholar
  4. 4.
    Kubelka, P., Munk, F.: Ein Beitrag zur Optik der Farbanstriche. In: Zeitschrift für technische Physik, Leipzig, pp. 593–601 (1931)Google Scholar
  5. 5.
    Chandrasekhar, S.: Radiative Transfer. Dover Publications Inc., New York (1960)zbMATHGoogle Scholar
  6. 6.
    Yang, L., Miklavcic, S.: Revised Kubelka Munk theory III. A general theory of light propagation in scattering and absorptive media. JOSA 22(9), 1866–1872 (2005)CrossRefGoogle Scholar
  7. 7.
    Jenny, P., Mourad, S., Stamm, T., Vöge, M., Simon, K.: Computing Light Statistics in Heterogeneous Media Based on a Mass Weighted Probability Density Function (PDF) method. JOSA 24(8), 2206–2219 (2007)CrossRefGoogle Scholar
  8. 8.
    Mourad, S.: Improved Calibration of Optical Characteristics of paper by an Adapted Paper-MTF Model. Journal of Imaging Science and Technology 51, 283–291 (2007)CrossRefGoogle Scholar
  9. 9.
    Možina, M., Černic, M., Demšar, A.: Non-destructive methods for chemical, optical, colorimetric and typographic characterisation of a reprint. Journal of Cultural Heritage 8, 339–349 (2007)CrossRefGoogle Scholar

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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