• DocumentCode
    2327198
  • Title

    Automatic red-eye detection and correction

  • Author

    Gaubatz, Matthew ; Ulichney, Robert

  • Author_Institution
    Cornell Univ., Ithaca, NY, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Abstract
    "Red-eye" is a phenomenon that causes the eyes of flash photography subjects to appear unnaturally reddish in color. Though commercial solutions exist for red-eye correction, all of them require some measure of user intervention. A method is presented to automatically detect and correct redeye in digital images. First, faces are detected with a cascade of multi-scale classifiers. The red-eye pixels are then located with several refining masks computed over the facial region. The masks are created by thresholding per-pixel metrics, designed to detect red-eye artifacts. Once the redeye pixels have been found, the redness is attenuated with a tapered color desaturation. A detector implemented with this system corrected 95% of the red-eye artifacts in 200 tested images.
  • Keywords
    image classification; image colour analysis; photography; automatic red-eye detection and correction; color; digital images; facial region; flash photography; multi-scale classifiers; per-pixel metrics; red-eye artifacts; red-eye pixels; redeye; refining masks; tapered color desaturation; thresholding; Cameras; Digital images; Eyes; Face detection; Gas detectors; Lenses; Photography; Retina; Shape measurement; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1038147
  • Filename
    1038147