An adaptive median filter for image denoising

Chin Chen Chang; Ju-Yuan Hsiao; Chih Ping Hsieh

doi:10.1109/IITA.2008.259

An adaptive median filter for image denoising

Chin Chen Chang, Ju-Yuan Hsiao, Chih Ping Hsieh

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

58 Citations (Scopus)

Abstract

In this paper, a new image-denoising filter that is based on the standard median (SM) filter is proposed. In our method, a threshold and the standard median is used to detect noise and change the original pixel value to a newer that is closer to or the same as the standard median. We also incorporate the center weighted median (CWM) filter in our method. With our experimental results, we have made a comparison among our method, the standard median (SM) filter, the center weighted median (CWM) filter, and the Tri-State Median (TSM) filter, in which our method proves to be superior.

Original language	English
Title of host publication	Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Pages	346-350
Number of pages	5
DOIs	https://doi.org/10.1109/IITA.2008.259
Publication status	Published - 2008 Dec 1
Event	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 - Shanghai, China Duration: 2008 Dec 21 → 2008 Dec 22

Publication series

Name	Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Volume	2

Other

Other	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Country	China
City	Shanghai
Period	08-12-21 → 08-12-22

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems and Management

Access to Document

10.1109/IITA.2008.259

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Cite this

Chang, C. C., Hsiao, J-Y., & Hsieh, C. P. (2008). An adaptive median filter for image denoising. In Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 (pp. 346-350). [4739784] (Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008; Vol. 2). https://doi.org/10.1109/IITA.2008.259

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title = "An adaptive median filter for image denoising",

abstract = "In this paper, a new image-denoising filter that is based on the standard median (SM) filter is proposed. In our method, a threshold and the standard median is used to detect noise and change the original pixel value to a newer that is closer to or the same as the standard median. We also incorporate the center weighted median (CWM) filter in our method. With our experimental results, we have made a comparison among our method, the standard median (SM) filter, the center weighted median (CWM) filter, and the Tri-State Median (TSM) filter, in which our method proves to be superior.",

author = "Chang, {Chin Chen} and Ju-Yuan Hsiao and Hsieh, {Chih Ping}",

year = "2008",

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note = "2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 ; Conference date: 21-12-2008 Through 22-12-2008",

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Chang, CC, Hsiao, J-Y & Hsieh, CP 2008, An adaptive median filter for image denoising. in Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008., 4739784, Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, vol. 2, pp. 346-350, 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, Shanghai, China, 08-12-21. https://doi.org/10.1109/IITA.2008.259

An adaptive median filter for image denoising. / Chang, Chin Chen; Hsiao, Ju-Yuan; Hsieh, Chih Ping.

Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. 2008. p. 346-350 4739784 (Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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