Title :
A genetic based generic filter for image impulse noise reduction
Author :
Sardari, F. ; Moghaddam, Mohsen Ebrahimi
Author_Institution :
Electr. & Comput. Eng. Dept., Shahid Beheshti Univ., Tehran, Iran
Abstract :
The captured images usually are influenced by impulse noise therefore removing impulse noise is one of most important pre-processing phases in many applications. In this paper, we have proposed a genetic based method to remove impulse noise. This method proposes a composite filter which is a combination of several standard filters to reduce the noise effect. The experimental results showed the proposed method could efficiently restore degraded image while it is approximately stable to noise ratio increment.
Keywords :
filtering theory; genetic algorithms; image denoising; image restoration; composite filter; degraded image restoration; genetic algorithm; genetic based generic filter; image impulse noise reduction; impulse noise removal; noise ratio; Composite filter; Genetic algorithm; Impulse noise;
Conference_Titel :
Image Processing (IPR 2012), IET Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-632-1
DOI :
10.1049/cp.2012.0421