Fundamentals of digital image processing
Fundamentals of digital image processing
Detail-preserving median based filters in image processing
Pattern Recognition Letters
Median filter based on fuzzy rules and its application to image restoration
Fuzzy Sets and Systems - Special issue on fuzzy signal processing
Adaptive Fuzzy Median Filter for Images Corrupted by Impulse Noise
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 3 - Volume 03
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
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The digital images are easily affected by the noises; hence the image filters are often regarded as preprocessing of image processing system. If the image has serious damage or high-noise, the traditional image filters are usually unable to handle well. The application of median filter has been investigated. As an advanced method compared with standard median filtering, the adaptive median filter performs spatial processing to preserve detail and smooth non-impulsive noise. In this paper, a novel filter method, a neighboring selection method based on the fuzzy median filter, is proposed to improve the existing filter so that more image details can be preserved while effectively suppressing impulse noise. The proposed filter mechanism is composed of a new efficient noise eliminator based on the ideal of image rotation and LVQ network. Extensive simulation results demonstrate that our scheme performs significantly improve the default filter.