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Saliency Enhanced Decolorization

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Computer Vision and Graphics (ICCVG 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9972))

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Abstract

Color-to-grayscale conversion methods are widely used in the field of computer vision and image processing. The importance of preserving the source color image details is really high, because only correctly converted images can be used in real world applications (e.g. a colorblind version of a webpage, etc.). The lack of some image details can cause misunderstandings and incorrect data evaluation. Saliency maps help us identify areas of the image that attract the visual attention of users. In this paper we propose a new method for color-to-grayscale conversion based on preserving image saliency.

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Notes

  1. 1.

    Implemented in GBVS [11].

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Acknowledgment

The authors wish to thank Dr. Martin Ilcik for the proof-reading of the manuscript.

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Authors and Affiliations

  1. Faculty of Mathematics, Physics and Informatics Comenius University, Bratislava, Slovakia

    Michal Zemko & Elena Sikudova

Authors
  1. Michal Zemko
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  2. Elena Sikudova
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Corresponding author

Correspondence to Elena Sikudova .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences , Warsaw, Poland

    Leszek J. Chmielewski

  2. Computer Sci and Software Engineering, University of Western Australia , Perth, Australia

    Amitava Datta

  3. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences SGGW , Warsaw, Poland

    Ryszard Kozera

  4. Institute of Computer Science, Silesian University of Technology , Gliwice, Poland

    Konrad Wojciechowski

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Zemko, M., Sikudova, E. (2016). Saliency Enhanced Decolorization. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-46418-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46417-6

  • Online ISBN: 978-3-319-46418-3

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