Title :
Parameter tuning of artificial bee colony algorithm for Gaussian noise elimination on digital images
Author :
Kockanat, Serdar ; Karaboga, Nurhan
Author_Institution :
Sivas Vocational Sch., Cumhuriyet Univ., Sivas, Turkey
Abstract :
In this paper, the control parameters of the artificial bee colony algorithm were examined to determine for the best performance of the noise elimination problem on gray level digital images. In order to eliminate a noise, a two dimensional finite impulse response digital filter was designed and the artificial bee colony algorithm was used to adjust its coefficient matrix. For the best selected control parameters, the designed two dimensional finite impulse response digital filter was used to eliminate the Gaussian noise on the gray level digital images at different noise densities and the performance of the designed filter was compared in terms of the noise tolerance.
Keywords :
Gaussian noise; image denoising; matrix algebra; transient response; two-dimensional digital filters; Gaussian noise elimination problem; artificial bee colony algorithm; coefficient matrix; control parameters; gray level digital images; noise densities; noise tolerance; parameter tuning; two dimensional finite impulse response digital filter designed; Algorithm design and analysis; Digital images; Finite impulse response filters; Noise; Noise measurement; Optimization; artificial bee colony algorithm; gaussian noise; noise elimination; two dimensional digital filter;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on
Conference_Location :
Albena
Print_ISBN :
978-1-4799-0659-8
DOI :
10.1109/INISTA.2013.6577621
