Handbook of Image and Video Processing
Handbook of Image and Video Processing
Efficient removal of impulse noise from digital images
IEEE Transactions on Consumer Electronics
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
A fuzzy impulse noise detection and reduction method
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Fuzzy Two-Step Filter for Impulse Noise Reduction From Color Images
IEEE Transactions on Image Processing
Using Uncorrupted Neighborhoods of the Pixels for Impulsive Noise Suppression With ANFIS
IEEE Transactions on Image Processing
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
Salt and pepper noise filtering with fuzzy-cellular automata
Computers and Electrical Engineering
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Restoration of images corrupted by impulse noises is a very common problem in the image processing. An efficient direction based adaptive weighted switching median filter for restoration of images corrupted by high density impulse noise is proposed in this paper. The filtering process consists of two phases - detection phase followed by a filtering phase. The detection phase in the proposed method uses HEIND algorithm put forward by Fei Duan et al. After detecting noisy pixel positions in the image, filtering algorithm is applied to those detected pixels. All uncorrupted pixels in the image are left unchanged by the filtering algorithm. The filtering algorithm uses uncorrupted pixels in the selected four directions for taking a decision on the filtering window size. Noisy pixels are replaced by a weighted median value of uncorrupted pixels in the filtering window or directional filtering window. The weight value assigned to each uncorrupted pixels depends on its closeness to the central corrupted pixel in the current filtering window.