The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
Detail-preserving median based filters in image processing
Pattern Recognition Letters
Suppression of “salt and pepper” noise based on Youden designs
Information Sciences: an International Journal
Combining belief functions when evidence conflicts
Decision Support Systems
LUM smoother with smooth control for noisy image sequences
EURASIP Journal on Applied Signal Processing
Digital Image Processing
Evidence Theory and Its Applications
Evidence Theory and Its Applications
Combining belief functions based on distance of evidence
Decision Support Systems
Fast detection and impulsive noise removal in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A new adaptive center weighted median filter for suppressing impulsive noise in images
Information Sciences: an International Journal
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Information Sciences: an International Journal
Cost-effective video filtering solution for real-time vision systems
EURASIP Journal on Applied Signal Processing
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
Extending stochastic ordering to belief functions on the real line
Information Sciences: an International Journal
Fuzzy filter based on interval-valued fuzzy sets for image filtering
Fuzzy Sets and Systems
Some improvements for image filtering using peer group techniques
Image and Vision Computing
Mass function derivation and combination in multivariate data spaces
Information Sciences: an International Journal
A signal detection system based on Dempster-Shafer theory andcomparison to fuzzy detection
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Fuzzy Systems
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Adaptive two-pass rank order filter to remove impulse noise in highly corrupted images
IEEE Transactions on Image Processing
A fuzzy impulse noise detection and reduction method
IEEE Transactions on Image Processing
On the fusion of imprecise uncertainty measures using belief structures
Information Sciences: an International Journal
Information Sciences: an International Journal
The conjunctive combination of interval-valued belief structures from dependent sources
International Journal of Approximate Reasoning
Edge structure preserving image denoising using OAGSM/NC statistical model
Digital Signal Processing
Image denoising using SVM classification in nonsubsampled contourlet transform domain
Information Sciences: an International Journal
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In this work, a two-pass switching rank-ordered arithmetic mean (TSRAM) filter that preserves image details while effectively suppressing impulse noise is proposed to improve the performance of switching-based median filters. The proposed filter mechanism includes an efficient impulse detector based on the Dempster-Shafer (D-S) evidence theory and a rank-ordered arithmetic mean filter that works by estimating the noise-free ordered mean values excluding the current pixel. A modified Dempster's combination rule is applied to the impulse detector. To improve filtering performance, a simple switching median filter is included to perform second-pass filtering. Experimental results show that the proposed filter outperforms many well-accepted switching-based median filters in terms of both noise suppression and detail preservation, providing excellent robustness at various percentages of impulse noise.