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Impulse noise filter via spatial global outlier measurement

[+] Author Affiliations
Zhu Zhu

Anqing Normal University, School of Physics and Electronic Engineering, Linghu Road, Anqing 246,011, China

Southeast University, School of Instrument Science and Engineering, Sipalou Road, Nanjing 210,096, China

Julang Jiang

Anqing Normal University, School of Physics and Electronic Engineering, Linghu Road, Anqing 246,011, China

Xiaoguo Zhang

Southeast University, School of Instrument Science and Engineering, Sipalou Road, Nanjing 210,096, China

J. Electron. Imaging. 24(5), 053008 (Sep 10, 2015). doi:10.1117/1.JEI.24.5.053008
History: Received January 20, 2015; Accepted August 5, 2015
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Abstract.  We propose an impulse noise removal algorithm which can effectively realize the elimination of the impulse noise in an image even though these noise pixels are on image edges or details. The algorithm introduces a statistic, spatial global outlier measurement to identify the impulse noise in an image. Once the noise pixels are identified, noise candidates are restored by a nonlocal edge-preserving regularized filter. Extensive experimental results indicate that our algorithm provides a significant improvement over many other existing techniques.

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Citation

Zhu Zhu ; Julang Jiang and Xiaoguo Zhang
"Impulse noise filter via spatial global outlier measurement", J. Electron. Imaging. 24(5), 053008 (Sep 10, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.5.053008


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