Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter

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..

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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: Conference or Workshop Item (Lecture)
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: Noorul Farina Arifin
Date Deposited: 28 May 2014 09:10
Last Modified: 18 May 2018 06:17
URI: http://umpir.ump.edu.my/id/eprint/5869
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