DocumentCode :
2633457
Title :
A mixed noise filtering algorithm based on the genetic algorithm and L-filter
Author :
Zhao, Jin-shuai
Author_Institution :
Dept. of Comput. Sci., Zhoukou Normal Univ., Zhoukou
fYear :
2008
fDate :
5-8 Dec. 2008
Firstpage :
111
Lastpage :
114
Abstract :
A novel algorithm for mixed noise filtering in image processing is presented, combing the genetic algorithm and L-filter. The algorithm based on central limit theorem estimates mixed noise model through inter-selecting region of interest in the image, and adds this mixed noise model to a small test image for rebuilding degraded process. Aiming at this test image, the genetic algorithm is used to optimize the weight coefficients of L-filter. Then the optimized weight coefficients are used in combination with image edge information to execute L-filter to the image. Experiments demonstrate that this method is better than Laplacian filter and median filter.
Keywords :
genetic algorithms; image processing; median filters; L-filter; Laplacian filter; central limit theorem; genetic algorithm; image edge information; image processing; median filter; mixed noise filtering algorithm; weight coefficients; Computer science; Degradation; Electronic mail; Estimation theory; Filtering algorithms; Filters; Genetic algorithms; Image processing; Laplace equations; Testing; Genetic algorithm; L-filter; image edge information; mixed noise model estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Piezoelectricity, Acoustic Waves, and Device Applications, 2008. SPAWDA 2008. Symposium on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2891-5
Type :
conf
DOI :
10.1109/SPAWDA.2008.4775759
Filename :
4775759
Link To Document :
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