Fast Modified Vector Median Filter
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Efficient Modification of the Central Weighted Vector Median Filter
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Adaptive modification of the vector median filter
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
Fast adaptive similarity based impulsive noise reduction filter
Real-Time Imaging - Special issue on spectral imaging
A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
Similarity based impulsive noise removal in color images
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Fuzzy vector partition filtering technique for color image restoration
Computer Vision and Image Understanding
A robust neuro-fuzzy network approach to impulse noise filtering for color images
Applied Soft Computing
Vector median filter for removal of impulse noise from color images
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
An Adaptive Hybrid Filtering for Removing Impulse Noise in Color Images
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Geometric features-based filtering for suppression of impulse noise in color images
IEEE Transactions on Image Processing
On the similarity based impulsive noise removal technique for multichannel images
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Robust rank vector median filter
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Color image restoration using explicit local segmentation
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
International Journal of Computational Science and Engineering
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It is generally accepted that multispectral image processing should be employed using a vector approach. Two are the main classes of vector processing filters that have been reported in the literature. Astola et al. (1990) introduce the well known class of vector median filters (VMF), which are derived as MLE estimates from exponential distributions. Trahanias et al. (see IEEE Trans. Image Process., vol.2, p.528-34, Oct. 1993) study the processing of color image data using directional information, considering the class of vector directional filters (VDF). We introduce a new class of filters, the directional-distance filters (DDF), which combine both VDF and VMF in a novel way. We show that DDF can eliminate the noise much more effectively than the VMF (even the impulsive noise), and that they have the property of chromaticity preservation.