Fast Adaptive Weighted Median Filter for Image
Jiang Chao-zh · Microcomputer Information · 2008
Due to its effectiveness for removing impulse noise ,median filtering has long been a popular tool for signal restoration .In this work ,a new fast adaptive weighted median filter(FAWMF) is proposed for improving the performance of median-based filters In this algorithm,noise detection is used to determine impulse noise and the degree of the noise interference .Based on the degree o noise interference,weighted value could be choosed.To improve the speed of median filter,we present a new fast median filter which is based on statistical histogram and multilevel staged search according to the character that the array distribution scope is limited Experimental results show that the proposed filter not only can provide better performance of suppressing impulse but can preserv more detail features,and it effectively improves the speed of standard median filter method。