Retrospective Color Shading Correction for Endoscopic Images

  • Maximilian WeihererEmail author
  • Martin Zorn
  • Thomas Wittenberg
  • Christoph Palm
Conference paper
Part of the Informatik aktuell book series (INFORMAT)


In this paper, we address the problem of retrospective color shading correction. An extension of the established gray-level shading correction algorithm based on signal envelope (SE) estimation to color images is developed using principal color components. Compared to the probably most general shading correction algorithm based on entropy minimization, SE estimation does not need any computationally expensive optimization and thus can be implemented more effciently. We tested our new shading correction scheme on artificial as well as real endoscopic images and observed promising results. Additionally, an indepth analysis of the stop criterion used in the SE estimation algorithm is provided leading to the conclusion that a fixed, user-defined threshold is generally not feasible. Thus, we present new ideas how to develop a non-parametric version of the SE estimation algorithm using entropy.


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Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020

Authors and Affiliations

  1. 1.Regensburg Medical Image Computing (ReMIC)Ostbayerische Technische Hochschule Regensburg (OTH Regensburg)RegensburgDeutschland
  2. 2.Fraunhofer Institute for Integrated Circuits IISErlangenDeutschland
  3. 3.Regensburg Center of Biomedical Engineering (RCBE)OTH Regensburg and Regensburg UniversityRegensburgDeutschland

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