• DocumentCode
    3441855
  • Title

    Vignetting distortion correction method for high quality digital imaging

  • Author

    Yu, Wonpil ; Chung, Yunkoo ; Soh, Jung

  • Author_Institution
    Intelligent Robot Res. Div., ETRI, Daejeon, South Korea
  • Volume
    3
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    666
  • Abstract
    Vignetting refers to a position dependent loss of light in the output of an optical system causing gradual fading out of an image near the periphery. In this paper, we propose a method for correcting vignetting distortion by introducing nonlinear model fitting of a proposed vignetting distortion function. The proposed method aims for embedded digital imaging applications as well as conventional image enhancement. We could obtain a light intensity profile distribution without precisely controlled illumination and considerably reduce memory requirement for vignetting correction compared with the traditional lookup table (LUT) methods. We show the effectiveness of the proposed method by presenting the experimental results obtained from commercial digital cameras.
  • Keywords
    image enhancement; nonlinear estimation; optical distortion; table lookup; digital cameras; high quality embedded digital imaging; image enhancement; light intensity profile distribution; lookup table method; nonlinear model fitting; optical system; vignetting distortion correction method; vignetting distortion function; Digital cameras; Digital images; Fading; Image enhancement; Lighting control; Nonlinear distortion; Nonlinear optics; Optical distortion; Optical losses; Table lookup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334617
  • Filename
    1334617