Title: An effective approach for removing heavy salt-peppers noise based on bee colony optimisation

Authors: Yonghao Xiao, Weiyu Yu, Yongchang Chen, Jing Tian

Addresses: School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China; Foshan University, Foshan, 528000, China. ' School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China; Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, Jiangsu 215006, China. ' School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China. ' School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

Abstract: Image denoising is an important task in image analysis. To improve the performance of high-density salt and pepper noise denoising, a novel approach is proposed in this paper. This approach includes two steps. In the first step, the noise pixels are distinguished from the image pixels and set initial values for noise pixels; the second step denoising image is obtained using bee colony optimisation. Experimental results show that the proposed approach is very effective and fast, especially for heavy noise image. It can remove salt-and-pepper noise with a noise level from 50% to 95%.

Keywords: image denoising; bee colony optimisation; salt-pepper noise; image analysis.

DOI: 10.1504/IJCSE.2011.041213

International Journal of Computational Science and Engineering, 2011 Vol.6 No.1/2, pp.60 - 66

Published online: 13 Jul 2011 *

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