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Automatic Multi-light White Balance Using Illumination Gradients and Color Space Projection

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Advances in Visual Computing (ISVC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8887))

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Abstract

White balance algorithms try to remove color casts in images caused by non-white scene illuminants, transforming the images to appear as if they were taken under a canonical light source. We propose a new white balance algorithm for scenes with multiple lights, which requires that the colors of all scene illuminants and their relative contributions to each image pixel are determined. Prior work on multi-illuminant white balance either required user input or made restrictive assumptions. We identify light colors as areas of maximum gradients in the indirect lighting component. The colors of each maximal point are clustered in RGB space in order to estimate the distinct global light colors. Once the light colors are determined, we project each image pixel in RGB space to determine the relative contribution of each distinct light color to each image pixel. Our white balance method for images with multiple light sources is fully automated and amenable to hardware implementation.

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Author information

Authors and Affiliations

  1. Worcester Polytechnic Institute, Worcester, MA, UK

    Clifford Lindsay & Emmanuel Agu

Authors
  1. Clifford Lindsay
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  2. Emmanuel Agu
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada at Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. The University of Texas at Dallas, 75080, Richardson, TX, USA

    Ryan McMahan

  6. NextGen Interactions, 27604, Raleigh, NC, USA

    Jason Jerald

  7. Indiana University, 46202, Indianapolis, IN, USA

    Hui Zhang

  8. Microsoft Research, 1 Microsoft Way, 98052, Redmond, WA, USA

    Steven M. Drucker

  9. University of Delaware, 19716-2712, Newark, DE, USA

    Chandra Kambhamettu

  10. Intel Corp., 95054, Santa Clara, CA, USA

    Maha El Choubassi

  11. Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, 77004, Houston, TX, USA

    Zhigang Deng

  12. NVIDIA, 34788, Leesburg, FL, USA

    Mark Carlson

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© 2014 Springer International Publishing Switzerland

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Lindsay, C., Agu, E. (2014). Automatic Multi-light White Balance Using Illumination Gradients and Color Space Projection. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8887. Springer, Cham. https://doi.org/10.1007/978-3-319-14249-4_55

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  • DOI: https://doi.org/10.1007/978-3-319-14249-4_55

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14248-7

  • Online ISBN: 978-3-319-14249-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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