An effective approach for removing heavy salt-peppers noise based on bee colony optimisation
Yonghao Xiao, Weiyu Yu, Yongchang Chen, Jing Tian · International Journal of Computational Science and Engineering · 2011
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%.