Adaptive Switching Mean Filter for Impulse Noise Removal
Xuming Zhang, Zhouping Yin, Youlun Xiong · 2008
The adaptive switching mean filter is proposed to remove impulse noise from the corrupted image. The proposed filter first identifies the noise pixels using the morphological noise detector and then removes the detected impulses using the adaptive trimmed mean filter. Simulation results show that the proposed filter can realize the accurate noise detection and it can suppress impulse noise effectively while preserving details in the image very well, thus providing significantly better restoration performance than the traditional median filter and numerous well known switching-based filters.