A Median-Subset-Type Adaptive Median Filter
中子集型自适应中值滤波器

The median filters have been generally adopted to reduce impulse noise.Although many existing median approaches have been greatly improved,the results of image filtering were not satisfactory at high noise density.Thus,in this paper,a novel median algorithm is proposed.First,all pixels of the filtering window are classified.Then the median subset of the multi-elements subsets is educed.The number of the multi-elements subsets determines whether the image is filtered or whether the filtering window is extended.Finally,in simulations,the proposed algorithm is compared with several kinds of median filters in the numerical value and the vision,respectively.Experimental results show that the new filter can effectively reduce the impulse noise and preserve more details of original images.