An Efficient Edge-Preserving Approach Based on Adaptive Fuzzy Switching Median Filter
This paper proposes a two-stage approach for detecting and removing of salt and pepper noise. In the first stage, the maximum and minimum in the contaminated image is used to identify noise pixels and noise-free pixels. In the second stage, these detected noise candidates will be restored by an improved adaptive fuzzy switching median algorithm, while these noise-free pixels are left unchanged. In term of the conflict of noise suppression and edge-preserving, our proposed method takes fuzzy switching reasoning to handle it. Simulation results show that it can remove salt and pepper noise effectively with edge-preserving compared to those nonlinear filters existing in the literature.
adaptive median algorithm edge-preserving salt-and-pepper noise fuzzy switching reasoning.
Dong-Sheng JIANG Xun-Bo LI Zhen-Lin WANG Chao-LIU
School of Mechatronics Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, China
国际会议
西安
英文
1015-1018
2011-06-17(万方平台首次上网日期,不代表论文的发表时间)