• DocumentCode
    63521
  • Title

    Parametric Generalized Linear System Based on the Notion of the T-Norm

  • Author

    Guang Deng

  • Author_Institution
    Dept. of Electron. Eng., La Trobe Univ., Bundoora, VIC, Australia
  • Volume
    22
  • Issue
    7
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    2903
  • Lastpage
    2910
  • Abstract
    By using the triangular norm, we propose two methods for the construction of generalized linear systems, and show new insights into the relationship between typical systems. Using the Hamacher and Frank t-norm, we propose a parametric log-ratio model, which is a generalization of the log-ratio model and is more flexible in algorithmic development. We develop a generalized linear contrast enhancement algorithm based on the proposed parametric log-ratio model. We show that the performance of the proposed algorithm is effective and robust for different types of images.
  • Keywords
    image enhancement; Frank t-norm; Hamacher t-norm; generalized linear contrast enhancement algorithm; generalized linear system construction; parametric generalized linear system; parametric log-ratio model; triangular norm; Adaptation models; Computational modeling; Dynamic range; Equations; Heuristic algorithms; Linear systems; Mathematical model; Contrast enhancement; generalized linear system; log-ratio model; triangular norm;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2012.2226735
  • Filename
    6341081