A New Kind of Weighted Median Filtering Algorithm Used for Image Processing
Xiuqin Deng, Yong Xiong, Hong Peng · 2008
Aimed at the excellence and shortcoming of the traditional median filtering algorithm, this paper proposes a new adaptive weighted median filtering algorithm. The new algorithm first determines noise points in image through noise detection, then adjusts the size of filtering window adaptively according to number of noise points in window, the pixel points in the filtering window are grouped adaptively by certain rules and gives corresponding weight to each group of pixel points according to similarity, finally the noise detected are filtering-treated by means of weighted median filtering algorithm. The result of computer simulation experiment indicates that the new algorithm can not only filter off noise effectively, but also favorably reserve image details with a filtering performance better than traditional median filtering algorithm.