loading...
High Probability Impulsive Noise Removal for Corrupted Images
Hachioji, Tokyo, Japan March 23-March 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDCSW.2004.128403024th International Conference on Dist ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ju-Yuan Hsiao, National Changhua University of Education
Shu-Yi Chen, National Changhua University of Education
We know one characteristic of image is that each pixel is very close to surrounding neighbors. If the impulsive noise appears in the local area, it will be very abruptly. In the proposed scheme, we pick up several neighboring pixels around the center pixel in the scanning window as the statistic factors. The mean value and mean of absolute neighboring difference (MAND) are utilized from those. Further, we use them to acquire a critical value. The value is a representative characteristic of those pixels in the local area and it will be used to identify whether if a pixel is corrupted.
Citation:
Ju-Yuan Hsiao, Shu-Yi Chen, "High Probability Impulsive Noise Removal for Corrupted Images," icdcsw, vol. 1, pp.190-194, 24th International Conference on Distributed Computing Systems Workshops - W1: MNSA (ICDCSW'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.