Multi Scale Adaptive Median Filter for Impulsive Noise Removal

Xiangzhi Bai; Fugen Zhou; Zhaoying Liu; Ting Jin; Bindang Xue

doi:10.1007/978-3-642-18129-0_20

Multi Scale Adaptive Median Filter for Impulsive Noise Removal

Xiangzhi Bai
, Fugen Zhou
, Zhaoying Liu
, Ting Jin
, Bindang Xue

School of Astronautics

Beihang University

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

1 Scopus citations

Abstract

Adaptive median filter has been an efficient algorithm for impulsive noise removal. However, if the noises are very heavy, adaptive median filter may still remain noise regions in result image. Actually, noise pixels usually exist in different scales of image. So, a multi scale adaptive median filter is proposed in this paper. The multi scale adaptive median filter is a sequence of adaptive median filter using maximum windows with increasing sizes. Because the noises exist at multi scales could be identified, multi scale adaptive median filter could efficiently filter very heavy noises in image. Experimental results show that multi scale adaptive median filter could be very efficient even though the impulsive noises are very heavy.

Original language	English
Title of host publication	Intelligent Computing and Information Science - International Conference, ICICIS 2011, Proceedings
Editors	Ran Chen
Pages	124-129
Number of pages	6
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-18129-0_20
State	Published - 2011
Event	2011 International Conference on Intelligent Computing and Information Science, ICICIS 2011 - Chongqing, China Duration: 8 Jan 2011 → 9 Jan 2011

Publication series

Name	Communications in Computer and Information Science
Number	PART 1
Volume	134
ISSN (Print)	1865-0929

Conference

Conference	2011 International Conference on Intelligent Computing and Information Science, ICICIS 2011
Country/Territory	China
City	Chongqing
Period	8/01/11 → 9/01/11

Keywords

Adaptive median filter
impulsive noise removal
multi scale

Access to Document

10.1007/978-3-642-18129-0_20

Cite this

Bai, X., Zhou, F., Liu, Z., Jin, T., & Xue, B. (2011). Multi Scale Adaptive Median Filter for Impulsive Noise Removal. In R. Chen (Ed.), Intelligent Computing and Information Science - International Conference, ICICIS 2011, Proceedings (PART 1 ed., pp. 124-129). (Communications in Computer and Information Science; Vol. 134, No. PART 1). https://doi.org/10.1007/978-3-642-18129-0_20

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title = "Multi Scale Adaptive Median Filter for Impulsive Noise Removal",

abstract = "Adaptive median filter has been an efficient algorithm for impulsive noise removal. However, if the noises are very heavy, adaptive median filter may still remain noise regions in result image. Actually, noise pixels usually exist in different scales of image. So, a multi scale adaptive median filter is proposed in this paper. The multi scale adaptive median filter is a sequence of adaptive median filter using maximum windows with increasing sizes. Because the noises exist at multi scales could be identified, multi scale adaptive median filter could efficiently filter very heavy noises in image. Experimental results show that multi scale adaptive median filter could be very efficient even though the impulsive noises are very heavy.",

keywords = "Adaptive median filter, impulsive noise removal, multi scale",

author = "Xiangzhi Bai and Fugen Zhou and Zhaoying Liu and Ting Jin and Bindang Xue",

year = "2011",

doi = "10.1007/978-3-642-18129-0\_20",

language = "英语",

isbn = "9783642181283",

series = "Communications in Computer and Information Science",

number = "PART 1",

pages = "124--129",

editor = "Ran Chen",

booktitle = "Intelligent Computing and Information Science - International Conference, ICICIS 2011, Proceedings",

edition = "PART 1",

note = "2011 International Conference on Intelligent Computing and Information Science, ICICIS 2011 ; Conference date: 08-01-2011 Through 09-01-2011",

}

Bai, X , Zhou, F, Liu, Z, Jin, T & Xue, B 2011, Multi Scale Adaptive Median Filter for Impulsive Noise Removal. in R Chen (ed.), Intelligent Computing and Information Science - International Conference, ICICIS 2011, Proceedings. PART 1 edn, Communications in Computer and Information Science, no. PART 1, vol. 134, pp. 124-129, 2011 International Conference on Intelligent Computing and Information Science, ICICIS 2011, Chongqing, China, 8/01/11. https://doi.org/10.1007/978-3-642-18129-0_20

Multi Scale Adaptive Median Filter for Impulsive Noise Removal. / Bai, Xiangzhi ; Zhou, Fugen; Liu, Zhaoying et al.
Intelligent Computing and Information Science - International Conference, ICICIS 2011, Proceedings. ed. / Ran Chen. PART 1. ed. 2011. p. 124-129 (Communications in Computer and Information Science; Vol. 134, No. PART 1).

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

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N2 - Adaptive median filter has been an efficient algorithm for impulsive noise removal. However, if the noises are very heavy, adaptive median filter may still remain noise regions in result image. Actually, noise pixels usually exist in different scales of image. So, a multi scale adaptive median filter is proposed in this paper. The multi scale adaptive median filter is a sequence of adaptive median filter using maximum windows with increasing sizes. Because the noises exist at multi scales could be identified, multi scale adaptive median filter could efficiently filter very heavy noises in image. Experimental results show that multi scale adaptive median filter could be very efficient even though the impulsive noises are very heavy.

AB - Adaptive median filter has been an efficient algorithm for impulsive noise removal. However, if the noises are very heavy, adaptive median filter may still remain noise regions in result image. Actually, noise pixels usually exist in different scales of image. So, a multi scale adaptive median filter is proposed in this paper. The multi scale adaptive median filter is a sequence of adaptive median filter using maximum windows with increasing sizes. Because the noises exist at multi scales could be identified, multi scale adaptive median filter could efficiently filter very heavy noises in image. Experimental results show that multi scale adaptive median filter could be very efficient even though the impulsive noises are very heavy.

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KW - multi scale

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Multi Scale Adaptive Median Filter for Impulsive Noise Removal

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