Improved Switching-Basedmedian Filter For Impulse Noise Removal

This thesis proposed a new algorithm to reduce impulse noise from digital images. In order to achieve this, thorough literature surveys on impulse noise models and median filtering frameworks have been carried out successfully. The proposed algorithm is based on switching median filtering appr...

Full description

Saved in:

Bibliographic Details
Main Author:	Teoh, Sin Hoong
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/44005/1/Teoh%20Sin%20Hoong24.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-usm-ep.44005
record_format	uketd_dc
spelling	my-usm-ep.440052019-04-12T05:26:10Z Improved Switching-Basedmedian Filter For Impulse Noise Removal 2013-10 Teoh, Sin Hoong TK1-9971 Electrical engineering. Electronics. Nuclear engineering This thesis proposed a new algorithm to reduce impulse noise from digital images. In order to achieve this, thorough literature surveys on impulse noise models and median filtering frameworks have been carried out successfully. The proposed algorithm is based on switching median filtering approaches. The method can be generally divided into two main stages, which are impulse noise detection stage and impulse noise cancellation stage. Modifications towards a well known boundary discriminative detection (BDND) method have been made. First, rather than using any sorting algorithm, the local median values were determined from manipulated local histograms. Next, in the noise detection stage, in addition to the originally proposed intensity distance differential approach, the new method includes intensity height differential approach to reduce false detection rate. Then, instead of using adaptive approach for noise cancellation stage, the proposed method utilizes iterative approach. Broad impulse noise model has been employed for the evaluation process, to investigate the robustness of the method. Based on the evaluations from root mean square error (RMSE), false positive detection rate, false negative detection rate, mean structure similarity index (MSSIM), processing time, and visual inspection, it is shown that the proposed method is the best method when compared with seven other state-of-the art median filtering methods. 2013-10 Thesis http://eprints.usm.my/44005/ http://eprints.usm.my/44005/1/Teoh%20Sin%20Hoong24.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik & Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Teoh, Sin Hoong Improved Switching-Basedmedian Filter For Impulse Noise Removal
description	This thesis proposed a new algorithm to reduce impulse noise from digital images. In order to achieve this, thorough literature surveys on impulse noise models and median filtering frameworks have been carried out successfully. The proposed algorithm is based on switching median filtering approaches. The method can be generally divided into two main stages, which are impulse noise detection stage and impulse noise cancellation stage. Modifications towards a well known boundary discriminative detection (BDND) method have been made. First, rather than using any sorting algorithm, the local median values were determined from manipulated local histograms. Next, in the noise detection stage, in addition to the originally proposed intensity distance differential approach, the new method includes intensity height differential approach to reduce false detection rate. Then, instead of using adaptive approach for noise cancellation stage, the proposed method utilizes iterative approach. Broad impulse noise model has been employed for the evaluation process, to investigate the robustness of the method. Based on the evaluations from root mean square error (RMSE), false positive detection rate, false negative detection rate, mean structure similarity index (MSSIM), processing time, and visual inspection, it is shown that the proposed method is the best method when compared with seven other state-of-the art median filtering methods.
format	Thesis
qualification_level	Master's degree
author	Teoh, Sin Hoong
author_facet	Teoh, Sin Hoong
author_sort	Teoh, Sin Hoong
title	Improved Switching-Basedmedian Filter For Impulse Noise Removal
title_short	Improved Switching-Basedmedian Filter For Impulse Noise Removal
title_full	Improved Switching-Basedmedian Filter For Impulse Noise Removal
title_fullStr	Improved Switching-Basedmedian Filter For Impulse Noise Removal
title_full_unstemmed	Improved Switching-Basedmedian Filter For Impulse Noise Removal
title_sort	improved switching-basedmedian filter for impulse noise removal
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik & Elektronik
publishDate	2013
url	http://eprints.usm.my/44005/1/Teoh%20Sin%20Hoong24.pdf
_version_	1747821317457969152

Improved Switching-Basedmedian Filter For Impulse Noise Removal

Similar Items