• DocumentCode
    1576150
  • Title

    Image Local Contrast Enhancement using Adaptive Non-Linear Filters

  • Author

    Arici, Tank ; Altunbasak, Y.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2006
  • Firstpage
    2881
  • Lastpage
    2884
  • Abstract
    We present a locally adaptive non-linear (YENI) filter to obtain the unsharp mask of an image. The unsharp mask obtained by the YENI filter preserves the edges in the image while filtering out the local details, which correspond to mid-range frequencies in the spectrum. The enhanced image using this unsharp mask effectively prevents over/under (o/u) shooting artifacts often observed with other unsharp masking techniques. The enhanced frequency range also spans lower frequencies compared to the techniques that are based on Laplacian filter variants. This improves the visual quality of the image, as measured subjectively and objectively in the real-video experiments. Furthermore, since the YENI filter reduces to an IIR filter at each pixel location, it has a low computational complexity.
  • Keywords
    Laplace transforms; adaptive filters; computational complexity; image enhancement; nonlinear filters; video signal processing; Laplacian filter variants; YENI filter; adaptive non-linear filter; computational complexity; image local contrast enhancement; real-video experiment; unsharp masking technique; Adaptive filters; Computational complexity; Electronic mail; Frequency; Histograms; IIR filters; Image quality; Information filtering; Information filters; Laplace equations; IIR; Local contrast enhancement; recursive filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.313031
  • Filename
    4107171