loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
Non-Linear Local Harmonic Filters For Edge-Preserving Image Denoising
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Mirosław Pawlak, University of Manitoba
Ewaryst Rafajłowicz, Wroclaw University of Technology
We propose a new class of non-linear image recovery operators based on local smoothing applied both in the spatial domain (horizontal smoothing) and in the gray-level domain (vertical smoothing). The commonly used horizontal smoothing gives the way of reducing the noise level (noise filtering), whereas the vertical smoothing yields the edge preservation property. The method is indexed by a real parameter yielding a generalized class of local harmonic filters. In particular the classical Min/Max filters as well as all linear locally weighted filters can be obtained as special cases.
Citation:
Mirosław Pawlak, Ewaryst Rafajłowicz, "Non-Linear Local Harmonic Filters For Edge-Preserving Image Denoising," icpr, vol. 3, pp.30895, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
Usage of this product signifies your acceptance of the Terms of Use.