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Iberoamerican Congress on Pattern Recognition

CIARP 2005: Progress in Pattern Recognition, Image Analysis and Applications pp 710–719Cite as

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  2. Progress in Pattern Recognition, Image Analysis and Applications
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Quantified and Perceived Unevenness of Solid Printed Areas

Quantified and Perceived Unevenness of Solid Printed Areas

  • Albert Sadovnikov18,
  • Lasse Lensu18,
  • Joni-Kristian Kamarainen18 &
  • …
  • Heikki Kälviäinen18 
  • Conference paper
  • 1028 Accesses

  • 7 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 3773)

Abstract

Mottling is one of the most severe printing defects in modern offset printing using coated papers. It can be defined as undesired unevenness in perceived print density. In our studies, we have implemented two methods known from the literature to quantify print mottle: the standard method for prints from office equipment and the bandpass method specially designed for mottling. Our goal was to study the performance of the methods when compared to human perception. For comparisons, we used a test set of 20 grey samples which were assessed by professional and non-professional people, and the artificial methods. The results show that the bandpass method can be used to quantify mottling of grey samples with a reasonable accuracy. However, we propose a modification to the bandpass method. The enhanced bandpass method utilizes a contrast sensitivity function for the human visual system directly in the frequency domain and the function parameters are optimized based on the human assessment. This results a significant improvement in the correlation to human assessment when compared to the original bandpass method.

Keywords

  • Spatial Frequency
  • Machine Vision
  • Human Visual System
  • Printing Process
  • Human Evaluation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Author information

Authors and Affiliations

  1. Laboratory of Information Processing, Department of Information Technology, Lappeenranta University of Technology, P.O.Box 20, 53851, Lappeenranta, Finland

    Albert Sadovnikov, Lasse Lensu, Joni-Kristian Kamarainen & Heikki Kälviäinen

Authors
  1. Albert Sadovnikov
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  2. Lasse Lensu
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  3. Joni-Kristian Kamarainen
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  4. Heikki Kälviäinen
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Editor information

Editors and Affiliations

  1. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

  2. Pattern Recognition Group, ICIMAF, Havana, Cuba

    Manuel Lazo Cortés

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© 2005 Springer-Verlag Berlin Heidelberg

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Sadovnikov, A., Lensu, L., Kamarainen, JK., Kälviäinen, H. (2005). Quantified and Perceived Unevenness of Solid Printed Areas. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_74

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  • DOI: https://doi.org/10.1007/11578079_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29850-2

  • Online ISBN: 978-3-540-32242-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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