A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise

Suppressing noise in digital images is more significant in the field of image processing. In this paper, a novel impulse noise detection method is introduced based on fuzzy sets. Generally fuzzy sets are associated with type-1 vagueness, but interval-valued intuitionistic fuzzy sets (IVIFSs) are tie...

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Main Authors:	Ananthi, V.P., Balasubramaniam, P.
Format:	Article
Published:	Elsevier 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://doi.org/10.1016/j.sigpro.2015.10.030 https://doi.org/10.1016/j.sigpro.2015.10.030

id	um-18304
recordtype	eprints
spelling	um-183042017-11-17T05:40:03Z A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise Ananthi, V.P. Balasubramaniam, P. TK Electrical engineering. Electronics Nuclear engineering Suppressing noise in digital images is more significant in the field of image processing. In this paper, a novel impulse noise detection method is introduced based on fuzzy sets. Generally fuzzy sets are associated with type-1 vagueness, but interval-valued intuitionistic fuzzy sets (IVIFSs) are tied up with type-2 linguistic uncertainty in which the width of the interval represents vagueness. The proposed method investigates image denoising by modeling this vagueness as entropy. An IVIFS for an image is generated by minimizing entropy. Then type-reduced IVIFS is obtained by taking probabilistic sum of the membership interval. Finally, noisy pixels are detected using directional kernels and are filtered using fuzzy filter. Performances are evaluated using mean square error (MSE), peak signal-to-noise ratio (PSNR), mean absolute error (MAE) and structural similarity (SSIM) index. A comparative analysis on the quality of denoised images shows that the proposed technique performs better than several existing median filters. Elsevier 2016 Article PeerReviewed https://doi.org/10.1016/j.sigpro.2015.10.030 Ananthi, V.P.; Balasubramaniam, P. (2016) A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise. Signal Processing <http://eprints.um.edu.my/view/publication/Signal_Processing.html>, 121. pp. 81-93. ISSN 0165-1684 http://eprints.um.edu.my/18304/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ananthi, V.P. Balasubramaniam, P. A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise
description	Suppressing noise in digital images is more significant in the field of image processing. In this paper, a novel impulse noise detection method is introduced based on fuzzy sets. Generally fuzzy sets are associated with type-1 vagueness, but interval-valued intuitionistic fuzzy sets (IVIFSs) are tied up with type-2 linguistic uncertainty in which the width of the interval represents vagueness. The proposed method investigates image denoising by modeling this vagueness as entropy. An IVIFS for an image is generated by minimizing entropy. Then type-reduced IVIFS is obtained by taking probabilistic sum of the membership interval. Finally, noisy pixels are detected using directional kernels and are filtered using fuzzy filter. Performances are evaluated using mean square error (MSE), peak signal-to-noise ratio (PSNR), mean absolute error (MAE) and structural similarity (SSIM) index. A comparative analysis on the quality of denoised images shows that the proposed technique performs better than several existing median filters.
format	Article
author	Ananthi, V.P. Balasubramaniam, P.
author_facet	Ananthi, V.P. Balasubramaniam, P.
author_sort	Ananthi, V.P.
title	A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise
title_short	A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise
title_full	A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise
title_fullStr	A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise
title_full_unstemmed	A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise
title_sort	new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise
publisher	Elsevier
publishDate	2016
url	https://doi.org/10.1016/j.sigpro.2015.10.030 https://doi.org/10.1016/j.sigpro.2015.10.030
first_indexed	2018-09-06T06:49:47Z
last_indexed	2018-09-06T06:49:47Z
_version_	1610839844221616128

A new image denoising method using interval-valued intuitionistic fuzzy sets for the removal of impulse noise

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