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
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
Fast detection and impulsive noise removal 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
Generalized adaptive vector sigma filters
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Isolating impulsive noise pixels in color images by peer group techniques
Computer Vision and Image Understanding
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In this paper a new approach to the problem of impulsive noise removal in color images is presented. The proposed method is based on the evaluation of the statistical properties of a sorted sequence of the accumulated distances used for the calculation of the vector median of samples belonging to the filtering window. The statistical analysis is performed using the Fisher's linear discriminant, which enables the detection of outliers introduced by the noise process. The described filter output switches between the vector median and the original central pixel. In order to increase the filter's performance, two thresholds are introduced, which enhance the detail preserving abilities of the proposed filtering scheme. The described filtering technique is robust, fast and therefore it can be used in real time denoising applications.