Adaptive DistanceWeighted Median Filtering Algorithm
JIN LiangHai1, LI DeHua1, YAO XingZhong1,2
1.State Education Commission Key Laboratory for Image Processing and Intelligent Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074 2.The Second Artillery Command College, Wuhan 430012
Abstract：According to the relationship between spatial distances and human psychological perception, a new weighting function is presented based on the psychological distance. Combined with the standard median filter (SMF), a kind of adaptive median filter is proposed. The experimental results show that the proposed filter, compared with the SMF and several other representative improved median filters, achieves better filtering effect on noise attenuation, and edge or detail preservation.
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2007, Vol. 20 
