Fuzzy random impulse noise reduction method
Fuzzy Sets and Systems
Fuzzy techniques in image processing at Ghent University
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Dedicated to the 60th birthday of Etienne E. Kerre
Gaussian noise reduction in greyscale images
International Journal of Intelligent Systems Technologies and Applications
A modified sigma filter for noise reduction in images
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
Efficient impulse noise reduction via local directional gradients and fuzzy logic
Fuzzy Sets and Systems
Simultaneous MAP-based video denoising and rate-distortion optimized video encoding
IEEE Transactions on Circuits and Systems for Video Technology
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
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Modified sigma filter using image decomposition
MUSP'10 Proceedings of the 10th WSEAS international conference on Multimedia systems & signal processing
Switching bilateral filter with a texture/noise detector for universal noise removal
IEEE Transactions on Image Processing
Fuzzy inference based edge detection system using Sobel and Laplacian of Gaussian operators
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Adaptive interference signal processing with intelligent neuro-fuzzy approach
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
A visual servoing robot control architecture
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Additive noise removal using a novel fuzzy-based filter
Computers and Electrical Engineering
A real-time fuzzy hardware structure for disparity map computation
Journal of Real-Time Image Processing
Pixel domain spatio-temporal denoising for archive videos
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
A new fuzzy-based wavelet shrinkage image denoising technique
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Perceived image quality measurement of state-of-the-art noise reduction schemes
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Evaluation of the perceptual performance of fuzzy image quality measures
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Do fuzzy techniques offer an added value for noise reduction in images?
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Noise reduction of video sequences using fuzzy logic motion detection
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Elastic registration algorithm of medical images based on fuzzy set
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
A new fuzzy multi-channel filter for the reduction of impulse noise
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
A new fuzzy additive noise reduction method
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Efficient noise reduction in images using directional modified sigma filter
The Journal of Supercomputing
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A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to perform fuzzy smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules which make use of membership functions. The filter can be applied iteratively to effectively reduce heavy noise. In particular, the shape of the membership functions is adapted according to the remaining noise level after each iteration, making use of the distribution of the homogeneity in the image. A statistical model for the noise distribution can be incorporated to relate the homogeneity to the adaptation scheme of the membership functions. Experimental results are obtained to show the feasibility of the proposed approach. These results are also compared to other filters by numerical measures and visual inspection.