Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise

A new nonlinearfiltering algorithm for effectively removing mix impulse noise in digital images, called twin sliding statistics switching median (TSSSM) filter is presented in this paper. The proposed TSSSM filter is made up of two subunits; i.e.impulse noise detection and noise filtering.At first,t...

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Main Authors: Mohd Helmi, Suid, Mohd Falfazli, Mat Jusof, Nor Ashidi, Mat Isa
Formato: Conference or Workshop Item
Idioma:English
English
Publicado em: 2015
Assuntos:
Acesso em linha:http://umpir.ump.edu.my/id/eprint/10701/1/Sliding%20statistics%20switching%20median%20filter%20for%20the%20removalof%20low%20level%20mix%20impulse%20noise.pdf
http://umpir.ump.edu.my/id/eprint/10701/7/fkee-2015-helmi-Sliding%20statistics%20switching.pdf
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author Mohd Helmi, Suid
Mohd Falfazli, Mat Jusof
Nor Ashidi, Mat Isa
author_facet Mohd Helmi, Suid
Mohd Falfazli, Mat Jusof
Nor Ashidi, Mat Isa
author_sort Mohd Helmi, Suid
collection UMP
description A new nonlinearfiltering algorithm for effectively removing mix impulse noise in digital images, called twin sliding statistics switching median (TSSSM) filter is presented in this paper. The proposed TSSSM filter is made up of two subunits; i.e.impulse noise detection and noise filtering.At first,the impulse noise detection stage ofTSSSMalgorithm begins by processing the statistics of a localized detection window in sorted order and non-sorted order,concurrently. Next, the median of absolute difference (MAD) obtained from both statistics(i.e. sorted and non-sorted) will be further processed in order to classify any possible noise pixels.In addition, histogram based noise detector also used at this stage in order to increase the filter’s robustness. Subsequently, the filtering stage will replace the detected noise pixels with the estimatedmedian value of the surrounding pixels. Extensive simulations results conducted on grayscale images indicate that the TSSSM filter performs significantly better than a number of well-known impulse noise filters existing in literature in terms of noise suppression and detail preservation.
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spelling UMPir107012018-02-21T03:44:22Z http://umpir.ump.edu.my/id/eprint/10701/ Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise Mohd Helmi, Suid Mohd Falfazli, Mat Jusof Nor Ashidi, Mat Isa TK Electrical engineering. Electronics Nuclear engineering A new nonlinearfiltering algorithm for effectively removing mix impulse noise in digital images, called twin sliding statistics switching median (TSSSM) filter is presented in this paper. The proposed TSSSM filter is made up of two subunits; i.e.impulse noise detection and noise filtering.At first,the impulse noise detection stage ofTSSSMalgorithm begins by processing the statistics of a localized detection window in sorted order and non-sorted order,concurrently. Next, the median of absolute difference (MAD) obtained from both statistics(i.e. sorted and non-sorted) will be further processed in order to classify any possible noise pixels.In addition, histogram based noise detector also used at this stage in order to increase the filter’s robustness. Subsequently, the filtering stage will replace the detected noise pixels with the estimatedmedian value of the surrounding pixels. Extensive simulations results conducted on grayscale images indicate that the TSSSM filter performs significantly better than a number of well-known impulse noise filters existing in literature in terms of noise suppression and detail preservation. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10701/1/Sliding%20statistics%20switching%20median%20filter%20for%20the%20removalof%20low%20level%20mix%20impulse%20noise.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/10701/7/fkee-2015-helmi-Sliding%20statistics%20switching.pdf Mohd Helmi, Suid and Mohd Falfazli, Mat Jusof and Nor Ashidi, Mat Isa (2015) Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise. In: International Congress on Natural Sciences and Engineering , 7-9 May 2015 , Kyoto, Japan. pp. 1-9.. (Unpublished) (Unpublished)
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Helmi, Suid
Mohd Falfazli, Mat Jusof
Nor Ashidi, Mat Isa
Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise
title Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise
title_full Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise
title_fullStr Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise
title_full_unstemmed Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise
title_short Sliding Statistics Switching Median Filter for the Removalof Low Level Mix Impulse Noise
title_sort sliding statistics switching median filter for the removalof low level mix impulse noise
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/10701/1/Sliding%20statistics%20switching%20median%20filter%20for%20the%20removalof%20low%20level%20mix%20impulse%20noise.pdf
http://umpir.ump.edu.my/id/eprint/10701/7/fkee-2015-helmi-Sliding%20statistics%20switching.pdf
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