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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.727542