DocumentCode :
3643847
Title :
Generation of FIR filters by using neural networks to improve digital images
Author :
Jakub Pęksiński;Grzegorz Mikołajczak
Author_Institution :
Electrical Engineering Department, West Pomeranian University of Technology, 26 Kwietnia 10, 71-26 Szczecin, Poland
fYear :
2011
Firstpage :
527
Lastpage :
529
Abstract :
The aim of the article is to show correction possibilities of digital images, achieved by image acquisition tools built on low class CCD matrices, such as their quality were close to images achieved by high class tools. For this purpose the authors used the linear filter with 3×3 mask, which were generated with neural network.
Keywords :
"Digital filters","Filtration","Digital images","Education","Maximum likelihood detection","Charge coupled devices","Nonlinear filters"
Publisher :
ieee
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2011 34th International Conference on
Print_ISBN :
978-1-4577-1410-8
Type :
conf
DOI :
10.1109/TSP.2011.6043674
Filename :
6043674
Link To Document :
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