Universal impulse noise suppression using extended efficient nonparametric switching median filter

Mohd Helmi, Suid and M. A. A., Ahmad and M. I. F, M. Hanif and Mohd Zaidi, Mohd Tumari and Muhammad Salihin, Saealal (2018) Universal impulse noise suppression using extended efficient nonparametric switching median filter. In: 2nd International Conference On Information Processing And Control Engineering (ICIPCE 2018) , 27 - 29 Julai 2018 , Shanghai, China. pp. 1-5., 214. ISSN 2261236X (Unpublished)

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DOI/Official URL: https://doi.org/10.1051/matecconf/201821401003

Abstract

This paper presents a filtering algorithm called extended efficient nonparametric switching median (EENPSM) filter. The proposed filter is composed of a nonparametric easy to implement impulse noise detector and a recursive pixel restoration technique. Initially, the impulse detector classifies any possible impulsive noise pixels. Subsequently, the filtering phase replaces the detected noise pixels. In addition, the filtering phase employs fuzzy reasoning to deal with uncertainties present in local information. Contrary to the existing conventional filters that only focus on a particular impulse noise model, the EENPSM filter is capable of filtering all kinds of impulse noise (i.e. the random-valued and/or fixed-valued impulse noise models). Extensive qualitative and quantitative evaluations have shown that the EENPSM method performs better than some of the existing methods by giving better filtering performance.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Image processing; Impulse noise; Digital image; Noise filtering; Nonparametric switching median filter
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	15 Nov 2018 08:56
Last Modified:	02 Jan 2019 00:50
URI:	http://umpir.ump.edu.my/id/eprint/22088
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