10 September 2015 Impulse noise filter via spatial global outlier measurement
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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.
© 2015 SPIE and IS&T
Zhu Zhu, Julang Jiang, 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 . Submission:
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