Particle Swarm Optimization for Image Noise Cancellation

Authors:
Yue-Cheng Chen;Hsin-Chih Wang;Te-Jen Su
Affiliations:
National Kaohsiung University of Applied Sciences, Taiwan;National Kaohsiung University of Applied Sciences, Taiwan;National Kaohsiung University of Applied Sciences, Taiwan
Venue:
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1
Year:
2006

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Abstract

In this paper, a novel method for designing templates of cellular neural network to cancel the image noise is discussed. The discrete-time cellular neural network (DTCNN) combining with particle swarm optimization (PSO) is applied to image noise cancellation. Based on PSO method, the templates of cellular neural network is optimized to diminish noise interference in polluted image. The demonstrated examples are presented to show the better performance of the proposed methodology (PSO-CNN).