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Optical Engineering

Selective adaptive weighted median filter
Author(s): Lianghai Jin; Caiquan Xiong; Dehua Li
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Paper Abstract

A new impulsive noise removal algorithm, the selective adaptive weighted median filter (SAWMF), is introduced. The proposed solution is a class of adaptive weighted median filters with incorporation of a switching mechanism. Using a median-based comparison technique to classify each image pixel as an impulse or a noise-free one, the new algorithm employs a weighted median filter where the weights are adaptively selected from two fixed values to restore the detected noisy pixels and keep the noise-free ones unchanged. The experimental results indicate that the SAWMF provides a significant performance improvement over many of the existing filtering techniques in suppressing impulsive noise with different contamination ratios.

Paper Details

Date Published: 1 March 2008
PDF: 5 pages
Opt. Eng. 47(3) 037001 doi: 10.1117/1.2891297
Published in: Optical Engineering Volume 47, Issue 3
Show Author Affiliations
Lianghai Jin, Huazhong Univ. of Science and Technology (China)
Caiquan Xiong, Huazhong Univ. of Science and Technology (China)
Dehua Li, Huazhong Univ. of Science and Technology (China)


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