Impulse noise filter via spatial global outlier measurement

Zhu Zhu; Julang Jiang; Xiaoguo Zhang

doi:10.1117/1.JEI.24.5.053008

10 September 2015 Impulse noise filter via spatial global outlier measurement

Zhu Zhu, Julang Jiang, Xiaoguo Zhang

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 5, 053008 (September 2015). https://doi.org/10.1117/1.JEI.24.5.053008

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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Zhu Zhu, Julang Jiang, and Xiaoguo Zhang "Impulse noise filter via spatial global outlier measurement," Journal of Electronic Imaging 24(5), 053008 (10 September 2015). https://doi.org/10.1117/1.JEI.24.5.053008

Published: 10 September 2015

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