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Algorithm for Computational Measure of Color Constancy

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6423))

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Abstract

Color constancy (CC) is the ability to perceive or retrieve constant image colors despite changes in illumination. CC has long been a research subject in color and machine vision. This paper presents a computational algorithm that offers an optimized solution for CC. The proposed CC algorithm exploits the strategy of RGB channel gain variation and the suppressing mechanism of grayscale pixel maximization (GPM). For most natural scenes under a single illuminant, the CC offset gain location can be revealed with a distinct GPM peak. The optimization scheme provides 2D and 3D graphical illustrations for user-friendly visualization and analysis. Operating mechanism and experimental results of this algorithm are clearly illustrated.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Kainan University, Taoyuan, Taiwan, ROC

    S. J. Jerome Teng

Authors
  1. S. J. Jerome Teng
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., 106, Taipei, Taiwan

    Shyi-Ming Chen

  3. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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Teng, S.J.J. (2010). Algorithm for Computational Measure of Color Constancy. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16696-9_5

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  • DOI: https://doi.org/10.1007/978-3-642-16696-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16695-2

  • Online ISBN: 978-3-642-16696-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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