Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
作者： R.H. Chan , Chung-Wa , M. Nikolova
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摘要: This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first phase, an adaptive median filter is used to identify pixels which are likely be contaminated by noise (noise candidates). second image restored using specialized regularization method that applies only those selected candidates. terms of edge preservation and suppression, our images show significant improvement compared just nonlinear filters or methods only. Our can remove salt-and-pepper-noise with level as high 90%.
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