Multichannel filtering by gradient information
Signal Processing
Color image processing and applications
Color image processing and applications
Genetic-based fuzzy hybrid multichannel filters for color image restoration
Fuzzy Sets and Systems
Nonlinear image processing
Adaptive fuzzy order statistics-rational hybrid filters for color image processing
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
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
Selection weighted vector directional filters
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Nonlinear processing and analysis of angular signals
IEEE Transactions on Signal Processing
Directional processing of color images: theory and experimental results
IEEE Transactions on Image Processing
A new approach to vector median filtering based on space filling curves
IEEE Transactions on Image Processing
Generalized multichannel image-filtering structures
IEEE Transactions on Image Processing
Nonlinear multivariate image filtering techniques
IEEE Transactions on Image Processing
Scalable portrait video for mobile video communication
IEEE Transactions on Circuits and Systems for Video Technology
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
Real-Time Imaging - Special issue on multi-dimensional image processing
A new adaptive center weighted median filter for suppressing impulsive noise in images
Information Sciences: an International Journal
Fuzzy vector partition filtering technique for color image restoration
Computer Vision and Image Understanding
Graph regularization for color image processing
Computer Vision and Image Understanding
Color text extraction with selective metric-based clustering
Computer Vision and Image Understanding
Cost-effective video filtering solution for real-time vision systems
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
Isolating impulsive noise pixels in color images by peer group techniques
Computer Vision and Image Understanding
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
Decision-based fuzzy image restoration for noise reduction based on evidence theory
Expert Systems with Applications: An International Journal
Quaternion switching filter for impulse noise reduction in color image
Signal Processing
A new vector median filter based on fuzzy metrics
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Partition-based fuzzy median filter based on adaptive resonance theory
Computer Standards & Interfaces
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This paper introduces a class of nonlinear multichannel filters capable of removing impulsive noise in color images. The here-proposed generalized selection weighted vector filter class constitutes a powerful filtering framework for multichannel signal processing. Previously defined multichannel filters such as vector median filter, basic vector directional filter, directional-distance filter, weighted vector median filters, and weighted vector directional filters are treated from a global viewpoint using the proposed framework. Robust order-statistic concepts and increased degree of freedom in filter design make the proposed method attractive for a variety of applications. Introduced multichannel sigmoidal adaptation of the filter parameters and its modifications allow to accommodate the filter parameters to varying signal and noise statistics. Simulation studies reported in this paper indicate that the proposed filter class is computationally attractive, yields excellent performance, and is able to preserve fine details and color information while efficiently suppressing impulsive noise. This paper is an extended version of the paper by Lukac et al. presented at the 2003 IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP '03) in Grado, Italy.