An effective approach for removing heavy salt-peppers noise based on bee colony optimisation Online publication date: Wed, 18-Mar-2015
by Yonghao Xiao, Weiyu Yu, Yongchang Chen, Jing Tian
International Journal of Computational Science and Engineering (IJCSE), Vol. 6, No. 1/2, 2011
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%.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com