DocumentCode :
3620449
Title :
Using fast backpropagation algorithms for impulsive noise reduction from highly distorted images
Author :
E. Besdok;M. Alci;P. Civicioglu
Author_Institution :
Dept. of Comput. Eng., Erciyes Univ., Turkey
Volume :
2
fYear :
2003
fDate :
6/25/1905 12:00:00 AM
Firstpage :
940
Abstract :
A new impulsive noise elimination filter, which is based on fast backpropagation algorithms, is proposed in this paper. The simulation results show that the proposed filter achieves a superior performance over the other filters mentioned in this paper in the cases of being effective in noise suppression and detail preservation, especially when the noise density is high
Keywords :
"Backpropagation algorithms","Noise reduction","Filters","Pixel","Artificial neural networks","Jacobian matrices","Nonlinear distortion","Electronic mail","Noise generators","Intelligent networks"
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
ISSN :
1548-3746
Print_ISBN :
0-7803-8294-3
Type :
conf
DOI :
10.1109/MWSCAS.2003.1562441
Filename :
1562441
Link To Document :
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