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Computational Intelligence, Communication Systems and Networks, International Conference on (2010)
Liverpool, United Kingdom
July 28, 2010 to July 30, 2010
ISBN: 978-0-7695-4158-7
pp: 279-284
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.
INDEX TERMS
Adaptive PSO, noise removal, neighbourhood average filter, salt and pepper noise, particle swarm
CITATION

R. Siddavatam, S. J. P., P. Kumar, S. Ghrera and R. K. Verma, "An Evolutionary Approach to Image Noise Cancellation Using Adaptive Particle Swarm Optimization (APSO)," Computational Intelligence, Communication Systems and Networks, International Conference on(CICSYN), Liverpool, United Kingdom, 2010, pp. 279-284.
doi:10.1109/CICSyN.2010.20
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