An overview of median and stack filtering
Circuits, Systems, and Signal Processing - Special issue: median and morphological filters
Detail-preserving median based filters in image processing
Pattern Recognition Letters
Digital Image Processing
Histogram-based fuzzy filter for image restoration
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
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In this paper, a fuzzy rule based adaptive centre weighted median (FCWM) filter for the image restoration is introduced. According to some statistic measures of the input image, the parameters of fuzzy membership functions are determined to construct a set of fuzzy rules. The adequate centre weight is the output of fuzzy rules in order to attain the final output pixel, which is adaptive with the sliding of the local filtering window in raster scanning order across the image. Unlike the previous detection based filters looking for the threshold iteratively, the proposed filter establishes the associated rules quickly and in a straightforward manner. A lot of computer simulations show that the proposed FCWM filter can achieve a superior performance either in detail preservation or in noise suppression.