• DocumentCode
    2745816
  • Title

    Automatic step size adjustment of the two-dimensional LMS algorithm

  • Author

    Cho, Han ; Priemer, Roland

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    864
  • Abstract
    This paper gives a method for distinguishing the states of the two dimensional LMS algorithm as it enhances an image in an area having high contrast variations or in an area having low contrast variations. This capability is used to automatically adjust the algorithm step size to improve image enhancement as the degree of contrast variation changes over an entire image
  • Keywords
    image enhancement; least mean squares methods; automatic step size adjustment; contrast; image enhancement; two-dimensional LMS algorithm; Adaptive algorithm; Convergence; Degradation; Estimation error; Filtering; Image enhancement; Least squares approximation; Matrix converters; Signal processing algorithms; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.518950
  • Filename
    518950