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62597

DETECTION AND REMOVAL OF IMPULSE NOISE IN DIGITAL IMAGES

Article

Last updated: 24 Dec 2024

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Abstract

A new method is proposed to eliminate impulsive noise in digital images. The method is based on impulse noise detection by means of a self-organizing neural network and a class of noise-exclusive filters. The filtering scheme presented can suppress impulse noise effectively while preserving image edges and fine details. Experimental results demonstrate that the performance of the noise-exclusive filters is superior to that of the traditional median filter family.

DOI

10.21608/iceeng.1999.62597

Keywords

Self-organizing neural network, Impulse noise removal, Noise-exclusive filtering, Digital image processing

Authors

First Name

FAYED

Last Name

A.

MiddleName

K.

Affiliation

Ph. D., Dpt. of Electrical Engineering, Military Technical College, Cairo, Egypt.

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First Name

SHOUMAN

Last Name

E.

MiddleName

S.

Affiliation

Associate professor, Dpt. of Electrical Engineering, Military Technical College, Cairo, Egypt.

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Orcid

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First Name

ALIAN

Last Name

M.

MiddleName

S.

Affiliation

Professor, Dpt. of Electrical Engineering, Military Technical College, Cairo, Egypt.

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-

First Name

MAHMOUD

Last Name

A.

MiddleName

T.

Affiliation

B. Sc., Dpt. of Electrical Engineering, Military Technical College, Cairo, Egypt.

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-

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Volume

2

Article Issue

2nd International Conference on Electrical Engineering ICEENG 1999

Related Issue

9420

Issue Date

1999-11-01

Receive Date

2019-11-28

Publish Date

1999-11-01

Page Start

707

Page End

715

Print ISSN

2636-4433

Online ISSN

2636-4441

Link

https://iceeng.journals.ekb.eg/article_62597.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=62597

Order

69

Type

Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

DETECTION AND REMOVAL OF IMPULSE NOISE IN DIGITAL IMAGES

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Article

Created At

22 Jan 2023