Color image processing and applications
Color image processing and applications
Efficient Modification of the Central Weighted Vector Median Filter
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Adaptive vector median filtering
Pattern Recognition Letters
On the Fast Modification of the Vector Median Filter
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) 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
Selection weighted vector directional filters
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
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
The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)
The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)
Generalized selection weighted vector filters
EURASIP Journal on Applied Signal Processing
cDNA microarray image processing using fuzzy vector filtering framework
Fuzzy Sets and Systems
Fast adaptive optimization of weighted vector median filters
IEEE Transactions on Signal Processing
Color video signal processing with median filters
IEEE Transactions on Consumer Electronics
Directional processing of color images: theory and experimental results
IEEE Transactions on Image Processing
Generalized multichannel image-filtering structures
IEEE Transactions on Image Processing
Fuzzy scalar and vector median filters based on fuzzy distances
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
Partition-based vector filtering technique for suppression of noise in digital color images
IEEE Transactions on Image Processing
Vector directional filters-a new class of multichannel image processing filters
IEEE Transactions on Image Processing
Three-dimensional median-related filters for color image sequence filtering
IEEE Transactions on Circuits and Systems for Video Technology
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
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
Proceedings of the 2010 conference on Information Modelling and Knowledge Bases XXI
A target-based color space for sea target detection
Applied Intelligence
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Vector median filter is highly effective in removing impulsive noise from color images. However, it fails to distinguish thin lines and boundaries from impulsive noise, and usually filters them out because it interprets these fine details as some noise. This paper introduces a new solution for impulsive noise detection in color images. The proposed solution is a switching vector filter which analyzes the color difference of two pixels in the CIELAB color space using four directional operators. Based on the result of this analysis, the impulse detection module can identify noise pixels, which are replaced in the filtering module with some robust estimate. The extensive experimental results show that the proposed solution outperforms many of the existing vector filters in terms of the filtering performance. In particular, the proposed approach can effectively preserve the thin lines, fine details, and image edges.