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Color Consistency for Photo Collections Without Gamut Problems

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MultiMedia Modeling (MMM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10132))

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Abstract

In this paper, we present a color consistency technique in order to make images in the same collection share the same color style and to avoid gamut problems. Some previous methods define simple global parameter-based models and use optimizing algorithms to obtain the unknown parameters, which usually cause gamut problems in bright and dark regions. Our method is based on the range-preserving histogram specification and can enforce images to share the same color style, without resulting in gamut problems. We divide the input images into two sets having respectively high visual quality and low visual quality. The high visual quality images are used to make color balance. And then the low visual quality images are color transferred using the previous corrected high quality images. Our experiments indicate that such histogram-based color correction method is better than the compared algorithm.

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Authors and Affiliations

  1. Université Paris-Dauphine, PSL Research University, CNRS, UMR 7534, CEREMADE, 75016, Paris, France

    Qi-Chong Tian & Laurent D. Cohen

Authors
  1. Qi-Chong Tian
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  2. Laurent D. Cohen
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Correspondence to Qi-Chong Tian .

Editor information

Editors and Affiliations

  1. CNRS–IRISA, Rennes, France

    Laurent Amsaleg

  2. Reykjavík University, Reykjavik, Iceland

    Gylfi Þór Guðmundsson

  3. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  4. Reykjavik University, Reykjavik, Ireland

    Björn Þór Jónsson

  5. National Institute of Informatics, Tokyo, Japan

    Shin’ichi Satoh

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Tian, QC., Cohen, L.D. (2017). Color Consistency for Photo Collections Without Gamut Problems. In: Amsaleg, L., Guðmundsson, G., Gurrin, C., Jónsson, B., Satoh, S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science(), vol 10132. Springer, Cham. https://doi.org/10.1007/978-3-319-51811-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-51811-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51810-7

  • Online ISBN: 978-3-319-51811-4

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