An Efficient Method for Removing Random-Valued Impulse Noise
In this paper, we propose an efficient two-stage iterative method for removing random-valued impulse noise. In the first phase, we use the adaptive center-weighted median filter to identify pixels which are likely to be corrupted by noise. In the second phase, these noise candidates are restored by using an efficient median filter based method. These two phases are applied alternatively. Extensive computer simulation results indicate that the proposed method provides some improvement over many of the well-known method in random noise removal while preserving low computational complexity.
Jianjun Zhang Qin Wang
Department of Mathematics, Shanghai University, Shanghai 200444, China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
918-922
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）