Statistical threshold decomposition for recursive and nonrecursive median filters
IEEE Transactions on Information Theory
A New Class of Detail-Preserving Filters for Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Fuzzy ranking: theory and applications
Signal Processing - Special issue on fuzzy logic in signal processing
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
Fuzzy random impulse noise reduction method
Fuzzy Sets and Systems
Efficient impulse noise reduction via local directional gradients and fuzzy logic
Fuzzy Sets and Systems
A new fuzzy impulse noise detection method for colour images
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Switching bilateral filter with a texture/noise detector for universal noise removal
IEEE Transactions on Image Processing
A fuzzy filter for the removal of random impulse noise in image sequences
Image and Vision Computing
A new fuzzy-based wavelet shrinkage image denoising technique
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Fuzzy multipass filter for impulse noise removal in digital images
SITE'12 Proceedings of the 11th international conference on Telecommunications and Informatics, Proceedings of the 11th international conference on Signal Processing
Adaptive image restoration by a novel neuro-fuzzy approach using complex fuzzy sets
International Journal of Intelligent Information and Database Systems
An effective 2-stage method for removing impulse noise in images
Journal of Visual Communication and Image Representation
Conditional Toggle Mappings: Principles and Applications
Journal of Mathematical Imaging and Vision
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An adaptive fuzzy switching filter is presented that adopts a fuzzy logic approach for the enhancement of images corrupted by impulse noise. In order to achieve optimal detail preservation, we develop the maximum-minimum exclusive median method to estimate the current pixel. Simulation results indicate that the proposed filter impressively outperforms other techniques in terms of noise suppression and detail preservation across a wide range of impulse noise corruption, ranging from 1% to 90%.