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1 November 2008 Impulsive noise filter using median- and partition-based operation
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A novel filter is proposed in this work to remove noise and preserve fine details from the impulse-corrupted images based on median and partition operation. Each pixel is classified into one of the mutually exclusive partition blocks by a novel observation vector. This observation vector can be directly used to partition the observation space without using predefined thresholds. The weight of each block is obtained using a learning approach based on the least-mean-square algorithm. The noise-filtering process is progressively applied through several iterations to achieve better noise-suppression results. Several experimental results have demonstrated that the proposed filter outperforms many filters in terms of both noise suppression and detail preservation.
©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
ChangCheng Wu, DaYue Chen, and ChunYu Zhao "Impulsive noise filter using median- and partition-based operation," Optical Engineering 47(11), 117004 (1 November 2008).
Published: 1 November 2008

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