Median filter based on fuzzy rules and its application to image restoration
Fuzzy Sets and Systems - Special issue on fuzzy signal processing
Digital image processing
Digital Image Restoration
Image Processing - Principles and Applications
Image Processing - Principles and Applications
Suppression of Impulse Noise in Medical Images with the Use of Fuzzy Adaptive Median Filter
Journal of Medical Systems
Impulse noise reduction in medical images with the use of switch mode fuzzy adaptive median filter
Digital Signal Processing
Histogram-based fuzzy filter for image restoration
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The noisy images are caused by decreasing quantity of the produced X-ray due to the deformation of the X-ray tube's anode. While obtaining the image from low quantity X-ray, shot noise or quantum noise occurs, and this decreases the quality of the image. The aim of this study is to define the novel method called as Fuzzy 2-D Weiner filter (FWF-2D), which suppresses the shot noise from noisy image by avoiding any harm to the image details. With this filtering technique, it is possible to preserve the sharp-edge and the details of the image without any damage during suppressing the noise from images. FWF-2D is one of the best techniques to suppress the corrupted quantum noises due to damaged X-ray tube. The fuzzy rules used in this filter are aimed to distinguish noise pixels from image ones, and the Wiener Filter is working to remove noise pixels distinguished by these fuzzy rules. It is then possible to obtain clean images from damaged X-ray tubes by using FWF-2D technique.