Camera Response Modeling

Camera Response Modeling is a computational method in computational photography that characterizes the mapping between the scene irradiance and the image sensor’s digital output, distinguishing itself by estimating the nonlinear response function of a camera to enable radiometric calibration and high dynamic range imaging.

119

Publications

7.4K

Citations

296

Authors

132

Institutions

Publications per year

2017–2026

32

Variants

Camera Response Function Modeling

Authors

296

  1. SL
    Stephen Lin

    Microsoft Research Asia (China), China

    4 publications · 519 citations

    4

    h-index

  2. SM
    Steve Mann

    University of Toronto, Canada

    4 publications · 327 citations

    4

    h-index

  3. YC
    Yung‐Yu Chuang

    National Taiwan University, Taiwan

    4 publications · 342 citations

    4

    h-index

  4. MG
    Michael Grossberg

    Columbia University, United States

    4 publications · 884 citations

    4

    h-index

  5. SK
    Shree K. Nayar

    Columbia University, United States

    3 publications · 571 citations

    3

    h-index

1–5 of 296

Venues

  1. IEEE Transactions on Image Processing

    6 publications · 527 citations

    6

    h-index

  2. Color Research & Application

    4 publications · 213 citations

    4

    h-index

  3. Applied Optics

    4 publications · 97 citations

    4

    h-index

  4. Journal of the Optical Society of America A

    4 publications · 456 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 188 citations

    3

    h-index

1–5