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Optical Engineering

Impulsive noise filter using median- and partition-based operation
Author(s): ChangCheng Wu; DaYue Chen; ChunYu Zhao
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Paper Abstract

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.

Paper Details

Date Published: 1 November 2008
PDF: 8 pages
Opt. Eng. 47(11) 117004 doi: 10.1117/1.3028332
Published in: Optical Engineering Volume 47, Issue 11
Show Author Affiliations
ChangCheng Wu, Shanghai Jiao Tong Univ. (China)
DaYue Chen, Shanghai Jiao Tong Univ. (China)
ChunYu Zhao, Shanghai Jiao Tong Univ. (China)

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