Image-based Color Constancy

Image-Based Color Constancy is a computational method in computer vision that estimates the chromatic properties of the scene illumination from a single image to enable consistent color perception across varying lighting conditions.

22

Publications

1.6K

Citations

48

Authors

30

Institutions

Publications per year

2017–2026

3

Authors

48

  1. GM
    Gérard Medioni

    University of Southern California, United States

    2 publications · 30 citations

    2

    h-index

  2. AC
    Anustup Choudhury

    University of Southern California, United States

    2 publications · 30 citations

    2

    h-index

  3. BF
    Brian Funt

    Simon Fraser University, Canada

    2 publications · 195 citations

    2

    h-index

  4. SJ
    Seon Joo Kim

    Yonsei University, South Korea

    1 publications · 99 citations

    1

    h-index

  5. FC
    Fang‐Hsuan Cheng

    Chung Hua University, Taiwan

    1 publications · 16 citations

    1

    h-index

1–5 of 48

Venues

  1. 2

    h-index

  2. International Journal of Computer Vision

    2 publications · 880 citations

    2

    h-index

  3. Neural Networks

    1 publications · 35 citations

    1

    h-index

  4. Machine Vision and Applications

    1 publications · 101 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

1–5