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
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