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

Mehrtash T. Harandi, Babak N. Araabi

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-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 languageEnglish
Title of host publicationICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages244-247
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2003
Externally publishedYes
EventIEEE International Conference on Electronics, Circuits and Systems 2003 - Sharjah, United Arab Emirates
Duration: 14 Dec 200317 Dec 2003
Conference number: 10th

Publication series

NameProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume1

Conference

ConferenceIEEE International Conference on Electronics, Circuits and Systems 2003
Abbreviated titleICECS 2003
CountryUnited Arab Emirates
CitySharjah
Period14/12/0317/12/03

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