Efficient impulse noise reduction via local directional gradients and fuzzy logic
Fuzzy Sets and Systems
A low-cost VLSI implementation for efficient removal of impulse noise
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
An efficient decision-based and edge-preserving method for salt-and-pepper noise removal
Pattern Recognition Letters
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
Direction based adaptive weighted switching median filter for removing high density impulse noise
Computers and Electrical Engineering
Salt and pepper noise filtering with fuzzy-cellular automata
Computers and Electrical Engineering
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A new impulse noise removal technique is presented to restore digital images corrupted by impulse noise. The algorithm is based on fuzzy impulse detection technique, which can remove impulse noise efficiently from highly corrupted images while preserving image details. Extensive experimental results show that the proposed technique performs significantly better than many existing state-of-the-art algorithms. Due to its low complexity, the proposed algorithm is very suitable for hardware implementation. Therefore, it can be used to remove impulse noise in many consumer electronics products such as digital cameras and digital television (DTV) for its performance and simplicity.