• DocumentCode
    535454
  • Title

    Study of fully-automatic red-eye removal algorithm

  • Author

    YueLi Cui ; Zhigang Chen ; AiHua Chen

  • Author_Institution
    Coll. of Phys. & Electron. Eng., Taizhou Univ., Taizhou, China
  • Volume
    6
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2673
  • Lastpage
    2676
  • Abstract
    “Red-eye effect” is a phenomenon that when a flashgun is used, the center of pupils appears unnaturally reddish. The automatic red-eye removal system can detect and correct red-eye automatically without manual intervention. First, faces are detected using Face Detection based on AdaBoost Algorithm, then the red-eyes are located using kinds of image processing method. At last the located red-eyes are finished corrected. The experimental results indicate that, the system can remove the red-eye automatically and effectively in the digital photo and has good robustness and rapidity.
  • Keywords
    face recognition; learning (artificial intelligence); AdaBoost algorithm; face detection; flashgun; fully automatic red eye removal algorithm; image processing; red eye effect; Classification algorithms; Equations; Face detection; Image color analysis; Pixel; Robustness; AdaBoost algorithm; Face detection; Red-eye location; Red-eye removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5648115
  • Filename
    5648115