An effective approach for removing heavy salt-peppers noise based on bee colony optimisation. (14th July 2011)

• Record Type: Journal Article
• Authors: Xiao, Yonghao; Yu, Weiyu; Chen, Yongchang; Tian, Jing
• Is Part Of: International journal of computational science and engineering. Volume 6:Number 1/2(2011)
• Page Start: 60
• Page End: 66
• Publication Date: 2011-07-14
• Subjects: image denoising -- bee colony optimisation -- salt-pepper noise -- image analysis; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

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%.