Color image processing and applications
Color image processing and applications
Genetic-based fuzzy hybrid multichannel filters for color image restoration
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
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
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
A universal noise removal algorithm with an impulse detector
IEEE Transactions on Image Processing
Peer group switching filter for impulse noise reduction incolor images
Pattern Recognition Letters
Two-step fuzzy logic-based method for impulse noise detection in colour images
Pattern Recognition Letters
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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In this paper a new switching vector filter for impulsive noise removal in color images is proposed. The new method is based on a recently introduced impulse detector named Rank-Ordered Differences Statistic (ROD) which is adapted to be used in color images. The switching scheme between the identity operation and the Arithmetic Mean Filter is defined using the mentioned impulse detector. Extensive experiments show that the proposed technique is simple, easy to implement and significantly outperforms the classical vector filters presenting a competitive performance respect to recent impulsive noise vector filters.