Impulse noise removal based on long-range correlation in an image

Mehrtash T. Harandi; Babak N. Araabi

doi:10.1109/ICECS.2003.1302022

Impulse noise removal based on long-range correlation in an image

Mehrtash T. Harandi, Babak N. Araabi

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

4 Citations (Scopus)

Abstract

Images are often contaminated by impulse noise. The major drawback of median filtering and its variants -that are widely used for removing impulsive noise- is the blurring effect for large window sizes and low noise suppression for small window sizes. In this paper, an algorithm for removing impulse noise in images is proposed. The long-range correlation information in a competitive scheme is utilized to find the gray level of degraded pixels. The experimental results show that the performance of our method in removing impulse noise is better than that of most other state-of-the-art methods.

Original language	English
Title of host publication	ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages	244-247
Number of pages	4
DOIs	https://doi.org/10.1109/ICECS.2003.1302022
Publication status	Published - 1 Dec 2003
Externally published	Yes
Event	IEEE International Conference on Electronics, Circuits and Systems 2003 - Sharjah, United Arab Emirates Duration: 14 Dec 2003 → 17 Dec 2003 Conference number: 10th https://ieeexplore.ieee.org/xpl/conhome/9125/proceeding?isnumber=28927 (Proceedings)

Conference

Conference	IEEE International Conference on Electronics, Circuits and Systems 2003
Abbreviated title	ICECS 2003
Country/Territory	United Arab Emirates
City	Sharjah
Period	14/12/03 → 17/12/03
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9125/proceeding?isnumber=28927 (Proceedings)

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10.1109/ICECS.2003.1302022

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title = "Impulse noise removal based on long-range correlation in an image",

abstract = "Images are often contaminated by impulse noise. The major drawback of median filtering and its variants -that are widely used for removing impulsive noise- is the blurring effect for large window sizes and low noise suppression for small window sizes. In this paper, an algorithm for removing impulse noise in images is proposed. The long-range correlation information in a competitive scheme is utilized to find the gray level of degraded pixels. The experimental results show that the performance of our method in removing impulse noise is better than that of most other state-of-the-art methods.",

author = "Harandi, {Mehrtash T.} and Araabi, {Babak N.}",

year = "2003",

month = dec,

day = "1",

doi = "10.1109/ICECS.2003.1302022",

language = "English",

isbn = "0780381637",

pages = "244--247",

booktitle = "ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems",

note = "IEEE International Conference on Electronics, Circuits and Systems 2003, ICECS 2003 ; Conference date: 14-12-2003 Through 17-12-2003",

url = "https://ieeexplore.ieee.org/xpl/conhome/9125/proceeding?isnumber=28927",

}

Harandi, MT & Araabi, BN 2003, Impulse noise removal based on long-range correlation in an image. in ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems., 1302022, pp. 244-247, IEEE International Conference on Electronics, Circuits and Systems 2003, Sharjah, United Arab Emirates, 14/12/03. https://doi.org/10.1109/ICECS.2003.1302022

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AU - Harandi, Mehrtash T.

AU - Araabi, Babak N.

N1 - Conference code: 10th

PY - 2003/12/1

Y1 - 2003/12/1

N2 - Images are often contaminated by impulse noise. The major drawback of median filtering and its variants -that are widely used for removing impulsive noise- is the blurring effect for large window sizes and low noise suppression for small window sizes. In this paper, an algorithm for removing impulse noise in images is proposed. The long-range correlation information in a competitive scheme is utilized to find the gray level of degraded pixels. The experimental results show that the performance of our method in removing impulse noise is better than that of most other state-of-the-art methods.

AB - Images are often contaminated by impulse noise. The major drawback of median filtering and its variants -that are widely used for removing impulsive noise- is the blurring effect for large window sizes and low noise suppression for small window sizes. In this paper, an algorithm for removing impulse noise in images is proposed. The long-range correlation information in a competitive scheme is utilized to find the gray level of degraded pixels. The experimental results show that the performance of our method in removing impulse noise is better than that of most other state-of-the-art methods.

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DO - 10.1109/ICECS.2003.1302022

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SN - 0780381637

SN - 9780780381636

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BT - ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems

T2 - IEEE International Conference on Electronics, Circuits and Systems 2003

Y2 - 14 December 2003 through 17 December 2003

ER -

Impulse noise removal based on long-range correlation in an image

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