Adaptive Switch Weighted Mean Filtering for Salt and Pepper Noise Removal
Lili Liu, Asic System · Jisuanji gongcheng · 2010
This paper proposes Adaptive Switch Weighted Mean(ASWM) filtering algorithm for salt and pepper noise removal. A new noise detection method is adopted to separate the pixels in the image into signal pixels and noise pixels. The noise pixels detected are removed by using the signal pixels with the weighted mean filtering,while signal pixels hold their gray values and are output unprocessed. Experimental results show that the algorithm can suppress noise effectively and preserve the image details. Contrasted to the Traditional Median(TM) filtering and its improved algorithms,ASWM has a better filtering performance.