Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter
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...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/5869/ http://umpir.ump.edu.my/id/eprint/5869/1/fkee-2014-salihin-removal_of_low.pdf |
| id |
ump-5869 |
|---|---|
| recordtype |
eprints |
| spelling |
ump-58692018-05-18T06:17:28Z http://umpir.ump.edu.my/id/eprint/5869/ Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter Muhammad Salihin, Saealal Mohd Helmi, Suid Mohd Falfazli, Mat Jusof Nor Ashidi, Mat Isa TK Electrical engineering. Electronics Nuclear engineering 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 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5869/1/fkee-2014-salihin-removal_of_low.pdf Muhammad Salihin, Saealal and Mohd Helmi, Suid and Mohd Falfazli, Mat Jusof and Nor Ashidi, Mat Isa (2014) Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter. In: The 3rd International Congress on Natural Sciences and Engineering, 7-9 May 2014 , Kyoto Research Park, Kyoto, Japan. pp. 1-8.. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Muhammad Salihin, Saealal Mohd Helmi, Suid Mohd Falfazli, Mat Jusof Nor Ashidi, Mat Isa Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter |
| description |
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 |
| format |
Conference or Workshop Item |
| author |
Muhammad Salihin, Saealal Mohd Helmi, Suid Mohd Falfazli, Mat Jusof Nor Ashidi, Mat Isa |
| author_facet |
Muhammad Salihin, Saealal Mohd Helmi, Suid Mohd Falfazli, Mat Jusof Nor Ashidi, Mat Isa |
| author_sort |
Muhammad Salihin, Saealal |
| title |
Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter |
| title_short |
Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter |
| title_full |
Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter |
| title_fullStr |
Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter |
| title_full_unstemmed |
Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter |
| title_sort |
removal of low level random-valued impulse noise using dual sliding statistics switching median filter |
| publishDate |
2014 |
| url |
http://umpir.ump.edu.my/id/eprint/5869/ http://umpir.ump.edu.my/id/eprint/5869/1/fkee-2014-salihin-removal_of_low.pdf |
| first_indexed |
2023-09-18T22:01:18Z |
| last_indexed |
2023-09-18T22:01:18Z |
| _version_ |
1777414416117006336 |