• DocumentCode
    330088
  • Title

    Nonlinear operators for edge detection and line scratch removal

  • Author

    Kim, Nam-Deuk ; Udpa, Satish

  • Author_Institution
    Dept. of Electr. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    5
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    4401
  • Abstract
    A nonlinear edge detection and line scratch removal method is proposed. The nonlinear operation is performed on the differences and sums of four neighbor pixels. For edge detection, the first derivative of the image brightness function is approximated by computing the maximum horizontal and vertical differences along the vertical and horizontal directions, respectively. The edge-detected result appears to be similar to the one obtained using Robert´s operator. The method can be used to smooth out a line scratch that manifests itself as a narrow, bright or dark, vertical line. The minimum (maximum) of two sums between horizontal neighbors is selected for bright (dark) vertical line removal. Several frames from a motion picture with line scratches have been processed using this method, and visually pleasing restoration results have been achieved with very little smoothing
  • Keywords
    cinematography; edge detection; image restoration; Robert operator; edge detection; image brightness; image restoration; line scratch removal; motion picture; nonlinear operators; vertical line removal; Brightness; Computers; Convolution; Gaussian noise; Image color analysis; Image edge detection; Image motion analysis; Image texture analysis; Motion pictures; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.727542
  • Filename
    727542