• DocumentCode
    2020746
  • Title

    A new class of nonlinear filters for image enhancement

  • Author

    Mitra, Sanjit K. ; Li, Hui ; Lin, Ing-Song ; Yu, Tian-Hu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2525
  • Abstract
    Two types of very simple two-dimensional nonlinear filters are introduced and applied to image contrast enhancement. The first type is based on a generalization of the Teager´s algorithm. A theoretical analysis has shown that this type of nonlinear filter works like a local-mean-weighted highpass filter. Based on this analysis, a second type of nonlinear filter has been developed which works like local-mean-weighted bandpass filter. The proposed image contrast enhancement technique is based on combining the original image with its filtered version obtained using one of the two nonlinear filters. Very high quality enhancement has been achieved for natural images
  • Keywords
    filtering and prediction theory; nonlinear network analysis; picture processing; two-dimensional digital filters; Teager´s algorithm; digital filter; image contrast enhancement; image quality; local-mean-weighted bandpass filter; local-mean-weighted highpass filter; two-dimensional nonlinear filters; Band pass filters; Brightness; Filtering; Histograms; Image enhancement; Image processing; Laboratories; Nonlinear filters; Pixel; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150915
  • Filename
    150915