An Adaptive Median Filter Based on the Double Windows and Extremum-compressing
基于双窗口和极值压缩的自适应中值滤波

To improve the performances of median filter and enhance the adaptability for the diverse density pepper and salt noises an adaptive median filter,based on the double windows and extremum-compressing filtering(DWECAMF),is proposed for images corrupted with pepper and salt noises.The filter is improved from the standard median filter on the three standpoints: accurateness of noise detection,validity of noise removal and practicability of filtering speed.The method employs some strategies,such as using the large window for noise detection and the small window for noise removal,compressing the maximum and the minimum within the window for noise removal,and using the adaptive filter for impulsive noise removal-to improve the performances of the filter,and the floating filter strategy to accelerate the filtering speed.The experimental results show that the filters's three performances-mentioned above of the filter are all improved greatly.Meanwhile,the filtering performances of the filter are excellent for different noise densities,ranging from low densities,to high densities.