Concepedia

Red-eye Correction

Red-Eye Correction is a computational image processing method that automatically detects and diminishes the artificial red appearance of pupils in flash photographs caused by the reflection of light from the retina, distinguishing itself from general color correction techniques through its specific targeting of ocular redness in human and animal eyes.

24

Publications

1.9K

Citations

66

Authors

30

Institutions

Publications per year

2017–2026

2

Parents

Publications

24

Digital photography with flash and no-flash image pairs

Georg Petschnigg, Richard Szeliski, Maneesh Agrawala et al. · ACM Transactions on Graphics · 2004 · 1.1K citations

, , +14

Digital photography with flash and no-flash image pairs

Georg Petschnigg, Richard Szeliski, Maneesh Agrawala et al. · 2004 · 196 citations

, , +14

Imperialist Competitive Algorithm-Based Optimization of Neuro-Fuzzy System Parameters for Automatic Red-eye Removal

Navid Razmjooy, Mehdi Ramezani, Noradin Ghadimi · International Journal of Fuzzy Systems · 2017 · 138 citations

, , +5

TOWARDS PRACTICAL FACIAL FEATURE DETECTION

Micah Eckhardt, Ian Fasel, Javier R. Movellan · International Journal of Pattern Recognition and Artificial Intelligence · 2009 · 49 citations

, , +16

Automatic red-eye detection and correction

Matthew Gaubatz, Robert Ulichney · Proceedings - International Conference on Image Processing · 2003 · 48 citations

, , +12

1–5 of 24

Authors

66

  1. RS
    Richard Szeliski

    Microsoft (United States), United States

    3 publications · 1.3K citations

    3

    h-index

  2. MC
    Michael Cohen

    University of California, Santa Cruz, United States

    2 publications · 1.3K citations

    2

    h-index

  3. HH
    Hugues Hoppe

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 1.3K citations

    2

    h-index

  4. MA
    Maneesh Agrawala

    University of California, Berkeley, United States

    2 publications · 1.3K citations

    2

    h-index

  5. GP
    Georg Petschnigg

    Microsoft (Finland), Finland

    2 publications · 1.3K citations

    2

    h-index

1–5 of 66

Institutions

30

  1. Hewlett-Packard (United States)

    Palo Alto, United States

    3 h-index

    7 publications

    156 citations

  2. Microsoft (Finland)

    Espoo, Finland

    2 h-index

    12 publications

    7.6K citations

  3. Microsoft Research Asia (China)

    Beijing, China

    1 h-index

    4 publications

    132 citations

  4. National University of Singapore

    Singapore, Singapore

    1 h-index

    2 publications

    22 citations

  5. University of Toronto

    Toronto, Canada

    1 h-index

    1 publications

    28 citations

  6. Sogang University

    Seoul, South Korea

    1 h-index

    2 publications

    82 citations

  7. University of California San Diego

    San Diego, United States

    1 h-index

    2 publications

    98 citations

  8. University of Iowa Hospitals and Clinics

    Iowa City, United States

    1 h-index

    2 publications

    22 citations

1–8 of 30

Venues

  1. 2

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. International Journal of Fuzzy Systems

    IJFS · 1 publications · 138 citations

    1

    h-index

  5. Pattern Recognition Letters

    1 publications · 28 citations

    1

    h-index

1–5