The nature of statistical learning theory
The nature of statistical learning theory
Theoretical aspects of morphological filters by reconstruction
Signal Processing
Multichannel filtering by gradient information
Signal Processing
Color image processing and applications
Color image processing and applications
Adaptive Fuzzy Morphological Filtering of Impulse Noisein Images
Multidimensional Systems and Signal Processing
LUM smoother with smooth control for noisy image sequences
EURASIP Journal on Applied Signal Processing
Geometry and Color in Natural Images
Journal of Mathematical Imaging and Vision
Adaptive fuzzy order statistics-rational hybrid filters for color image processing
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters
Multidimensional Systems and Signal Processing
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
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
Generalized adaptive vector sigma filters
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
IEEE Transactions on Signal Processing
Image enhancement using the modified ICM method
IEEE Transactions on Image Processing
Directional processing of color images: theory and experimental results
IEEE Transactions on Image Processing
A noise-filtering method using a local information measure
IEEE Transactions on Image Processing
Generalized multichannel image-filtering structures
IEEE Transactions on Image Processing
MRL-filters: a general class of nonlinear systems and their optimal design for image processing
IEEE Transactions on Image Processing
Morphological operators on the unit circle
IEEE Transactions on Image Processing
An adaptive morphological filter for image processing
IEEE Transactions on Image Processing
Vector directional filters-a new class of multichannel image processing filters
IEEE Transactions on Image Processing
Nonlinear multivariate image filtering techniques
IEEE Transactions on Image Processing
An adaptive nearest neighbor multichannel filter
IEEE Transactions on Circuits and Systems for Video Technology
Peer group switching filter for impulse noise reduction incolor images
Pattern Recognition Letters
Improved bilateral filter for suppressing mixed noise in color images
Digital Signal Processing
Hi-index | 0.00 |
Morphological filter is a kind of morphological operation-based nonlinear filter. It is effective in impulsive noise filtering and has been extensively studied in the past two decades. In the presented study, a new multichannel filtering approach established on learning-based color morphological operations for impulsive noise removal in color image is presented. By using the color pixel ordering scheme learned from the pre-estimation of impulsive noise, contaminated pixels are ordered as maximum ones in erosion operation or minimum ones in dilation operation, respectively. This characteristic ensures that only uncontaminated color pixels are distributed in morphological operations, hence noisy pixels are suppressed. Reconstruction is followed to alleviate the blurring and bias effects of morphological operations and to preserve image features. The presented filtering approach greatly enhances the performance of morphological operation-based filters, especially in the color image highly corrupted by impulsive noise. Experiments and comparisons with classical filters, such as basic vector median filter (VMF), basic vector directional filter (BVDF), NOPNCP filter, etc., as well as some newly developed filters, are performed to demonstrate the effectiveness of the proposed color image filtering algorithm.