Gray-world Assumption

The "Gray-World Assumption" is a computational color constancy hypothesis that assumes the average reflectance of a scene under uniform illumination is gray, meaning that the mean RGB value across the image is achromatic, thereby serving as a basis for estimating and correcting the prevailing illumination.

42

Publications

9.5K

Citations

113

Authors

58

Institutions

Publications per year

2017–2026

7

Authors

113

  1. TG
    Theo Gevers

    University of Amsterdam, Netherlands

    2 publications · 124 citations

    2

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  2. GD
    Graham D. Finlayson

    University of East Anglia, United Kingdom

    2 publications · 732 citations

    2

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  3. ZU
    Zia Ur Rahman

    Fujian Agriculture and Forestry University, China

    2 publications · 5.3K citations

    2

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  4. AG
    Arjan Gijsenij

    University of Amsterdam, Netherlands

    2 publications · 964 citations

    2

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  5. JV
    Joost van de Weijer

    Universitat Autònoma de Barcelona, Spain

    2 publications · 1K citations

    2

    h-index

1–5 of 113

Venues

  1. IEEE Transactions on Image Processing

    4 publications · 6.2K citations

    4

    h-index

  2. 3

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  3. Color and Imaging Conference

    CIC · 2 publications · 830 citations

    2

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  4. Journal of Modern Optics

    2 publications · 63 citations

    2

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  5. IEEE Access

    2 publications · 48 citations

    2

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1–5