An improved algorithm for removing impulse noise based on long-range correlation in an image

Yik Hing Fung; Yuk Hee Chan

doi:10.1109/ICME.2002.1035742

An improved algorithm for removing impulse noise based on long-range correlation in an image

Yik Hing Fung, Yuk Hee Chan

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

Abstract

In this paper, an algorithm for removing impulse noise is proposed. The algorithm not only uses the information of neighboring pixels in a local region, but also uses the long-range correlation within a natural image. In the proposed algorithm, a search criterion based on the weighted transformed contents of regions is used to look for a region which is highly correlated to the region of interest and then the center of that region is selected to replace the corrupted pixel. The method is found to be very effective in removing impulse noise from corrupted images, both in terms of the objective distortion measure and subjective visual assessment.

Original language	English
Title of host publication	Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Publisher	IEEE
Pages	157-160
Number of pages	4
Volume	1
ISBN (Electronic)	0780373049
DOIs	https://doi.org/10.1109/ICME.2002.1035742
Publication status	Published - 1 Jan 2002
Event	2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, Switzerland Duration: 26 Aug 2002 → 29 Aug 2002

Conference

Conference	2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Country/Territory	Switzerland
City	Lausanne
Period	26/08/02 → 29/08/02

ASJC Scopus subject areas

Archaeology
Electrical and Electronic Engineering

More information

10.1109/ICME.2002.1035742

http://hdl.handle.net/10397/1545

Cite this

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abstract = "In this paper, an algorithm for removing impulse noise is proposed. The algorithm not only uses the information of neighboring pixels in a local region, but also uses the long-range correlation within a natural image. In the proposed algorithm, a search criterion based on the weighted transformed contents of regions is used to look for a region which is highly correlated to the region of interest and then the center of that region is selected to replace the corrupted pixel. The method is found to be very effective in removing impulse noise from corrupted images, both in terms of the objective distortion measure and subjective visual assessment.",

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Fung, YH & Chan, YH 2002, An improved algorithm for removing impulse noise based on long-range correlation in an image. in Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002. vol. 1, 1035742, IEEE, pp. 157-160, 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, Lausanne, Switzerland, 26/08/02. https://doi.org/10.1109/ICME.2002.1035742

An improved algorithm for removing impulse noise based on long-range correlation in an image. / Fung, Yik Hing; Chan, Yuk Hee.
Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002. Vol. 1 IEEE, 2002. p. 157-160 1035742.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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An improved algorithm for removing impulse noise based on long-range correlation in an image

Abstract

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