Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
On some results in fuzzy metric spaces
Fuzzy Sets and Systems
Color image processing and applications
Color image processing and applications
Some properites of fuzzy metric spaces
Fuzzy Sets and Systems
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Fuzzy Vector Median-Based Surface Smoothing
IEEE Transactions on Visualization and Computer Graphics
A fast impulsive noise color image filter using fuzzy metrics
Real-Time Imaging - Special issue on multi-dimensional image processing
A new vector median filter based on fuzzy metrics
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Generalized multichannel image-filtering structures
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
Fuzzy Metrics Application in Video Spatial Deinterlacing
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Fuzzy Directional-Distance Vector Filter
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
A soft-switching approach to improve visual quality of colour image smoothing filters
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A new fuzzy additive noise reduction method
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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Bilateral filtering is a well-known technique for smoothing gray-scale and color images while preserving edges and image details by means of an appropriate nonlinear combination of the color vectors in a neighborhood. The pixel colors are combined based on their spatial closeness and photometric similarity. In this paper, a particular class of fuzzy metrics is used to represent the spatial and photometric relations between the color pixels adapting the classical bilateral filtering. It is shown that the use of these fuzzy metrics is more appropriate than the classical measures used.