Detail-preserving median based filters in image processing
Pattern Recognition Letters
Median filter based on fuzzy rules and its application to image restoration
Fuzzy Sets and Systems - Special issue on fuzzy signal processing
Convergence behavior of the LMS algorithm in subband adaptive filtering
Signal Processing
LUM smoother with smooth control for noisy image sequences
EURASIP Journal on Applied Signal Processing
Evidence Theory and Its Applications
Evidence Theory and Its Applications
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
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Impulse noise removal by multi-state median filtering
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Cost-effective video filtering solution for real-time vision systems
EURASIP Journal on Applied Signal Processing
Generalized selection weighted vector filters
EURASIP Journal on Applied Signal Processing
Partition-based weighted sum filters for image restoration
IEEE Transactions on Image Processing
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
A universal noise removal algorithm with an impulse detector
IEEE Transactions on Image Processing
Fuzzy filter based on interval-valued fuzzy sets for image filtering
Fuzzy Sets and Systems
Switching-based filter based on Dempster's combination rule for image processing
Information Sciences: an International Journal
Application of SVM-based filter using LMS learning algorithm for image denoising
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Maximal confidence intervals of the interval-valued belief structure and applications
Information Sciences: an International Journal
Combination rule of D-S evidence theory based on the strategy of cross merging between evidences
Expert Systems with Applications: An International Journal
A skin detection approach based on the Dempster--Shafer theory of evidence
International Journal of Approximate Reasoning
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A novel median-type filter controlled by evidence fusion is proposed for removing noise from images. The fusion of evidence based on the Dempster-Shafer evidence theory, providing a way to deal with the uncertainty in the evidence fusion, indicates to what extent a noise is considered. The filter proposed here is obtained as a weighted sum of the current pixel value and the output of the median filter, and the weight is set based on the belief value of the input signal sequence. The efficient step-like function is used to partition the belief space, and the least mean square (LMS) algorithm is applied to obtain the optimal weight for each block. Moreover, to improve the performance, the new filter is recursively implemented. Experimental results have demonstrated that the proposed filter can outperform many well-accepted median-based filters in preserving image details while effectively suppressing impulsive noises, and it also works satisfactorily in reducing Gaussian as well as the mixture of Gaussian and impulsive noise.