Detail-preserving median based filters in image processing
Pattern Recognition Letters
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
High Probability Impulsive Noise Removal for Corrupted Images
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
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In this paper, we proposed a two-stage switching-based median filter for impulsive noise removal. The noise-detection scheme contains a switching mechanism to identify the characteristic of center pixel. The first stage of our scheme is to identify the center pixel is a really uncorrupted pixel or not. If not, in order to increase the accuracy of noise detection, the center pixel is further discriminated as "uncorrupted pixel", "impartial impulsive noise" or "impulsive noise" in the second stage. In the filtering scheme, action of "no filtering" is applied to "uncorrupted pixels". The output of center weighted median and standard median are respectively applied to "impartial impulsive noise" and "impulsive noise".