Chromatic Adaptation Models

Chromatic Adaptation Models is a computational framework within color science that characterizes the adjustment of human visual perception to changes in illumination by modeling how the visual system maintains consistent color appearance under varying chromatic lighting conditions.

160

Publications

7.7K

Citations

231

Authors

138

Institutions

Publications per year

2017–2026

17

Variants

Chromatic Adaptation Transforms

Authors

231

  1. MR
    Ming Ronnier Luo

    University of Leeds, United Kingdom

    20 publications · 1.4K citations

    17

    h-index

  2. MD
    Mark D. Fairchild

    Rochester Institute of Technology, United States

    13 publications · 809 citations

    12

    h-index

  3. HS
    Hiroaki Sobagaki

    Osaka Electro-Communication University, Japan

    12 publications · 366 citations

    11

    h-index

  4. YN
    Yoshinobu Nayatani

    Osaka Electro-Communication University, Japan

    10 publications · 222 citations

    10

    h-index

  5. KT
    Kotaro Takahama

    Osaka Electro-Communication University, Japan

    9 publications · 324 citations

    9

    h-index

1–5 of 231

Venues

  1. Color Research & Application

    56 publications · 2.1K citations

    25

    h-index

  2. Journal of the Optical Society of America

    JOSA · 13 publications · 882 citations

    11

    h-index

  3. Vision Research

    10 publications · 399 citations

    10

    h-index

  4. Color and Imaging Conference

    CIC · 8 publications · 221 citations

    8

    h-index

  5. Journal of the Optical Society of America A

    6 publications · 242 citations

    6

    h-index

1–5