On some results in fuzzy metric spaces
Fuzzy Sets and Systems
Color image processing and applications
Color image processing and applications
Some properites of fuzzy metric spaces
Fuzzy Sets and Systems
Adaptive vector median filtering
Pattern Recognition Letters
Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters
Multidimensional Systems and Signal Processing
Fast adaptive similarity based impulsive noise reduction filter
Real-Time Imaging - Special issue on spectral imaging
A non-parametric filter for digital image restoration, using cluster analysis
Pattern Recognition Letters
Fast detection and impulsive noise removal in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A fast impulsive noise color image filter using fuzzy metrics
Real-Time Imaging - Special issue on multi-dimensional image processing
A new vector median filter based on fuzzy metrics
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Ultrafast technique of impulsive noise removal with application to microarray image denoising
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Directional processing of color images: theory and experimental results
IEEE Transactions on Image Processing
Generalized multichannel image-filtering structures
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Fuzzy Directional-Distance Vector Filter
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
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A novel approach to impulsive noise detection in color images is introduced. The neighborhood of a central pixel using a fuzzy metric is considered for the fast detection of noisy pixels using a peer group concept. Then, a filter based on a switching scheme between the Arithmetic Mean Filter (AMF) and the identity operation is proposed. The proposed filter reaches a very good balance between noise suppression and detail-preserving outperforming significantly the classical vector filters. The presented approach is faster than recently introduced switching filters based on similar concepts showing a competitive performance.