• DocumentCode
    2852059
  • Title

    Comparative study of unsharp masking methods for image enhancement

  • Author

    Badamchizadeh, M.A. ; Aghagolzadeh, A.

  • Author_Institution
    Islamic Azad Univ., Iran
  • fYear
    2004
  • fDate
    18-20 Dec. 2004
  • Firstpage
    27
  • Lastpage
    30
  • Abstract
    Contrast enhancement by the unsharp masking (UM) approaches are computationally and conceptually the simplest methods. In this paper, the different methods of UM for image enhancement are compared. These algorithms have been tested and compared for the same conditions. The results show that majority of these algorithms are very sensitive to the enhancement factor and are good for sharpening. This factor must be estimated recursively by considering the statistics of neighboring pixel values.
  • Keywords
    image enhancement; image resolution; statistical analysis; enhancement factor; image enhancement; statistical analysis; unsharp masking method; Adaptive filters; Band pass filters; Frequency; Image enhancement; Laplace equations; Noise reduction; Nonlinear filters; Polynomials; Recursive estimation; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Graphics (ICIG'04), Third International Conference on
  • Conference_Location
    Hong Kong, China
  • Print_ISBN
    0-7695-2244-0
  • Type

    conf

  • DOI
    10.1109/ICIG.2004.50
  • Filename
    1410378