Title :
An Evolutionary Approach to Image Noise Cancellation Using Adaptive Particle Swarm Optimization (APSO)
Author :
Syamala Jaya Sree, P. ; Verma, Ravi Kant ; Kumar, Pradeep ; Siddavatam, Rajesh ; Ghrera, S.P.
Author_Institution :
Dept. of Comput. Sci. Eng. & IT, Jaypee Univ. of Inf. Technol., Solan, India
Abstract :
In this paper, we propose a novel method which is an effective implementation of Population Particle Swarm Optimization aiming at optimizing the noise removal process in the case of grayscale images contaminated with salt and pepper noise. A new neighborhood average filter has been used in conjunction with APSO for noise removal. Simulations reveal that the proposed scheme which has been designed specifically for noise removal works well in suppressing noise impulses in images corrupted with different levels of noise. The results of the proposed algorithm are compared with those obtained by PSO-CNN method for gray-scale image noise cancellation.
Keywords :
evolutionary computation; filtering theory; image denoising; particle swarm optimisation; PSO-CNN method; adaptive particle swarm optimization; evolutionary approach; image noise cancellation; neighborhood average filter; noise removal process; salt-pepper noise; Adaptive PSO; neighbourhood average filter; noise removal; particle swarm; salt and pepper noise;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4244-7837-8
Electronic_ISBN :
978-0-7695-4158-7
DOI :
10.1109/CICSyN.2010.20
