Adaptive switching median filter for the removal of impulse noise
Xuming Zhang · Guangdian gongcheng · 2006
To remove the impulse noise from the image, the Adaptive Switching Median (ASM) filter is proposed. In the algorithm, a new noise detection scheme is adopted to separate the pixels in the image into signal pixels and noise pixels. The number of noise pixels is computed to estimate the noise density. Based on the noise density, the filtering window size is selected adaptively. The impulse noise is removed using the modified median filtering, while signal pixels hold their gray value and are left unprocessed. Simulation results show that the proposed algorithm can suppress noise very effectively, preserve fine details very well and has better filtering performance than the standard median filter and other improved median filters.