Mohd Helmi, Suid and Mohd Falfazli, Mat Jusof and Mohd Ashraf, Ahmad (2018) Dual Sliding Statistics Switching Median Filter for the Removal of Low Level Random-Valued Impulse Noise. Journal of Electrical Engineering & Technology, 13 (3). pp. 1383-1391. ISSN 1975-0102. (Published)
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Abstract
A new nonlinear filtering algorithm for effectively denoising images corrupted by the random-valued impulse noise, called dual sliding statistics switching median (DSSSM) filter is presented in this paper. The proposed DSSSM filter is made up of two subunits; i.e. Impulse noise detection and noise filtering. Initially, the impulse noise detection stage of DSSSM algorithm begins by processing the statistics of a localized detection window in sorted order and non-sorted order, simultaneously. Next, the median of absolute difference (MAD) obtained from both sorted statistics and non-sorted statistics will be further processed in order to classify any possible noise pixels. Subsequently, the filtering stage will replace the detected noise pixels with the estimated median value of the surrounding pixels. In addition, fuzzy based local information is used in the filtering stage to help the filter preserves the edges and details. Extensive simulations results conducted on gray scale images indicate that the DSSSM filter performs significantly better than a number of well-known impulse noise filters existing in literature in terms of noise suppression and detail preservation; with as much as 30% impulse noise corruption rate. Finally, this DSSSM filter is algorithmically simple and suitable to be implemented for electronic imaging products.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Image processing,Random-valued impulse noise,Digital image,Nonlinear noise filtering |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Dr Mohd Ashraf Ahmad |
| Date Deposited: | 21 Jan 2019 02:34 |
| Last Modified: | 21 Jan 2019 02:34 |
| URI: | http://umpir.ump.edu.my/id/eprint/23875 |
| Download Statistic: | View Download Statistics |
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