Fuzzy adaptive filters for multichannel image processing
Signal Processing
Color image processing and applications
Color image processing and applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bilateral Filtering and Anisotropic Diffusion: Towards a Unified Viewpoint
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Adaptive vector median filtering
Pattern Recognition Letters
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
The Image Foresting Transform: Theory, Algorithms, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Non-Local Algorithm for Image Denoising
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Fast detection and impulsive noise removal in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
Peer group switching filter for impulse noise reduction incolor images
Pattern Recognition Letters
Fuzzy scalar and vector median filters based on fuzzy distances
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
On the origin of the bilateral filter and ways to improve it
IEEE Transactions on Image Processing
A universal noise removal algorithm with an impulse detector
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
Multivariate ordering in color image filtering
IEEE Transactions on Circuits and Systems for Video Technology
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In the paper a novel technique of noise removal in color images is presented. The proposed filter design is a modification of the bilateral denosing scheme, which considers the similarity of color pixels and their spatial distance. However, instead of direct calculation of the dissimilarity measure, the cost of a connection through a digital path joining the central pixel of the filtering window and its neighbors is determined. The filter output, like in the standard bilateral filter, is calculated as a weighted average of the pixels which are in the neighborhood relation with the center of the filtering window, and the weights are functions of the minimal connection costs. Experimental results prove that the new denoising method yields significantly better results than the bilateral filter in case of color images contaminated by strong mixed Gaussian and impulsive noise.