• DocumentCode
    508178
  • Title

    Vignetting Image Correction Based on Gaussian Quadrics Fitting

  • Author

    He, Kai ; Tang, Ping-Fan ; Liang, Ran

  • Author_Institution
    Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
  • Volume
    5
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    According to the gray distribution of vignetting image, the method of Gaussian quadrics fitting based on steepest descent method (SDM) is introduced to solve the problem of irregular Gaussian quadrics fitting. By this method, we can achieve the whole gray distribution of images and then correct their vignetting phenomenon. The simulation result of actual images illuminated that the parameters of irregular Gaussian quadrics, as well as vignetting image gray value, can be effectively estimated with this method. In the result, the vignetting phenomenon of actual images was removed, and the images quality was improved effectively at the same time. Since no relevant optical and geometric parameters are required, this method has broad applicability.
  • Keywords
    Gaussian distribution; gradient methods; image reconstruction; Gaussian quadrics fitting; gray distribution; steepest descent method; vignetting image correction; Brightness; Helium; Layout; Lighting; Mathematics; Optical attenuators; Optical distortion; Parameter estimation; Polynomials; Radio access networks; Gaussian quadrics fitting; Gray compensation algorithm; Hesse Matrix; Steepest Descent Method; Vignetting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.649
  • Filename
    5365834