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Particle Swarm Optimization with Time-Varying Acceleration Coefficients Based on Cellular Neural Network for Color Image Noise Cancellation

Authors:
Te-Jen Su
Jui-Chuan Cheng
Yang-De Sun

Keywords: Cellular Neural Network; Color Image Noise Removal; Particle Swarm Optimization with Time-Varying Acceleration Coefficients

Abstract:
This paper proposes a novel method for designing templates of Cellular Neural Network (CNN) for color image noise removal. The control of CNN systems is achieved via Particle Swarm Optimization (PSO) with Time-Varying Acceleration Coefficients (PSO-TVAC). Based on PSO-TVAC method, the proposed approach can automatically update the parameters of the templates of CNN to optimize them for diminishing noise interference in polluted image. The demonstrated examples are compared favorably with other available methods, which illustrate the better performance of the proposed PSO-TVAC-CNN methodology.

Pages: 109 to 115

Copyright: Copyright (c) IARIA, 2011

Publication date: April 17, 2011

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-127-4

Location: Budapest, Hungary

Dates: from April 17, 2011 to April 22, 2011