On some results in fuzzy metric spaces
Fuzzy Sets and Systems
Color image processing and applications
Color image processing and applications
Image Processing for Virtual Restoration of Artworks
IEEE MultiMedia
Adaptive vector median filtering
Pattern Recognition Letters
Applied Partial Differential Variational Techniques
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
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
Cost-effective video filtering solution for real-time vision systems
EURASIP Journal on Applied Signal Processing
Generalized selection weighted vector filters
EURASIP Journal on Applied Signal Processing
Fast detection and removal of impulsive noise using peer groups and fuzzy metrics
Journal of Visual Communication and Image Representation
Fuzzy Directional-Distance Vector Filter
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
cDNA microarray image processing using fuzzy vector filtering framework
Fuzzy Sets and Systems
A new vector median filter based on fuzzy metrics
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
A new class of chromatic filters for color image processing. theory and applications
IEEE Transactions on Image Processing
A robust structure-adaptive hybrid vector filter for color image restoration
IEEE Transactions on Image Processing
Three-dimensional median-related filters for color image sequence filtering
IEEE Transactions on Circuits and Systems for Video Technology
Peer Group Filter for Impulsive Noise Removal in Color Images
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
Geometric features-based filtering for suppression of impulse noise in color images
IEEE Transactions on Image Processing
Some improvements for image filtering using peer group techniques
Image and Vision Computing
Peer group switching filter for impulse noise reduction incolor images
Pattern Recognition Letters
On a class of completable fuzzy metric spaces
Fuzzy Sets and Systems
Two-step fuzzy logic-based method for impulse noise detection in colour images
Pattern Recognition Letters
Examples of fuzzy metrics and applications
Fuzzy Sets and Systems
Quaternion switching filter for impulse noise reduction in color image
Signal Processing
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
Some questions in fuzzy metric spaces
Fuzzy Sets and Systems
Reduced ordering technique of impulsive noise removal in color images
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
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A new method for removing impulsive noise in color images is presented. The fuzzy metric peer group concept is used to build novel switching vector filters. In the proposed filtering procedure, a set of noise-free pixels of high reliability is determined by applying a highly restrictive condition based on the peer group concept. Afterwards, an iterative detection process is used to refine the initial findings by detecting additional noise-free pixels. Finally, noisy pixels are filtered by maximizing the employed fuzzy distance criterion between the pixels inside the filter window. Comparisons are provided to show that our approach suppresses impulsive noise, while preserving image details. In addition, the method is analyzed in order to justify the necessity of the iterative process and demonstrate the computational efficiency of the proposed approach.