Salt-and-Pepper noise removal by median-type noise detectors and detail-preserving regularization

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 to be contaminated by noise (noise candidates). In the second phase, the image is restored using a specialized regularization m...

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Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1997. - 14(2005), 10 vom: 01. Okt., Seite 1479-85
1. Verfasser: Chan, Raymond H (VerfasserIn)
Weitere Verfasser: Ho, Chung-Wa, Nikolova, Mila
Format: Aufsatz
Sprache:English
Veröffentlicht: 2005
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Evaluation Study Journal Article Research Support, Non-U.S. Gov't
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520 |a 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 to be contaminated by noise (noise candidates). In the second phase, the image is restored using a specialized regularization method that applies only to those selected noise candidates. In terms of edge preservation and noise suppression, our restored images show a significant improvement compared to those restored by using just nonlinear filters or regularization methods only. Our scheme can remove salt-and-pepper-noise with a noise level as high as 90% 
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650 4 |a Research Support, Non-U.S. Gov't 
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700 1 |a Nikolova, Mila  |e verfasserin  |4 aut 
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