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Random impulse noise removal from image sequences based on fuzzy logic

[+] Author Affiliations
Tom Mélange

Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit Krijgslaan 281, Building S9 9000 Gent, Belgium

Mike Nachtegael

Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit Krijgslaan 281, Building S9 9000 Gent, Belgium

Etienne E. Kerre

Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit Krijgslaan 281, Building S9 9000 Gent, Belgium

J. Electron. Imaging. 20(1), 013024 (March 25, 2011). doi:10.1117/1.3564922
History: Received March 26, 2010; Accepted February 21, 2011; Revised January 19, 2011; Published March 25, 2011; Online March 25, 2011
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In this paper a new filter for image sequences corrupted with random impulse noise is presented. In order to preserve the image details as much as possible, the noise is removed in different successive filtering steps. In each step, only the pixels that are detected as being noisy are filtered, while the noise-free pixels remain unchanged. The noise detection is based on fuzzy set theory and fuzzy rules, which are very useful for the processing of human knowledge and linguistic values. To exploit the temporal information in image sequences as much as possible, detected pixels are finally filtered in a motion compensated way. From the experimental results it can be seen that the proposed method outperforms other state-of-the-art filters both in terms of the peak-signal-to-noise ratio, the mean absolute error, and visually.

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Citation

Tom Mélange ; Mike Nachtegael and Etienne E. Kerre
"Random impulse noise removal from image sequences based on fuzzy logic", J. Electron. Imaging. 20(1), 013024 (March 25, 2011). ; http://dx.doi.org/10.1117/1.3564922


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