Median filter based on fuzzy rules and its application to image restoration
Fuzzy Sets and Systems - Special issue on fuzzy signal processing
Weighted fuzzy mean filters for image processing
Fuzzy Sets and Systems
Handbook of medical imaging
Digital Image Processing
Suppression of Impulse Noise in Medical Images with the Use of Fuzzy Adaptive Median Filter
Journal of Medical Systems
Weighted Median Filters for Multichannel Signals
IEEE Transactions on Signal Processing
Histogram-based fuzzy filter for image restoration
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
Quantum Noise Suppression in X-ray Images using Fuzzy 2-D Wiener Filter
Journal of Medical Systems
MR Images Restoration With the Use of Fuzzy Filter Having Adaptive Membership Parameters
Journal of Medical Systems
Angiograph image restoration with the use of rule base fuzzy 2D Kalman filter
Expert Systems with Applications: An International Journal
Interpretation of MR images using self-organizing maps and knowledge-based expert systems
Digital Signal Processing
Efficient impulse noise reduction via local directional gradients and fuzzy logic
Fuzzy Sets and Systems
Root Mean Square filter for noisy images based on hyper graph model
Image and Vision Computing
Peer group and fuzzy metric to remove noise in images using heterogeneous computing
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Robust impulse-noise filtering for biomedical images using numerical interpolation
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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In this paper, a novel fuzzy adaptive median filter is presented for the noise reduction in MR images corrupted with heavy impulse (salt&pepper) noise. We propose a switch mode fuzzy adaptive median filter (SMFAMF) for removing highly corrupted salt&pepper noise without destroying edges and details in the image. The SMFAMF filter is an improved version of adaptive median filter (AMF) in order to reduce additive impulse noise in the images. The proposed filter can preserve details in the images better than AMF while suppressing additive salt&pepper or impulse type noises. In this paper, we placed our preference on bell-shaped membership function with adaptive parameters instead of triangular membership function without variable coefficients in order to observe better results. Experiments with the magnetic resonance (MR) image from healthy subject, an MR image having the opaque material, and an MR image having disease demonstrate the mean square error (MSE), root mean square error (RMSE), signal-to-noise ratio (SNR), and peak signal-to-noise ratio (PSNR) of the proposed method. The results show that the proposed method can be useful for MR images with impulse type noises.