Efficient modification of the central weighted vector median filter

Bogdan Smolka

doi:10.1007/3-540-45783-6_21

Efficient modification of the central weighted vector median filter

Bogdan Smolka

Department of Data Science and Engineering (RAU/RAU4)

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

20 Citations (Scopus)

Abstract

A new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented. The computational complexity of the new filter is significantly lower than that of the Central Weighted Vector Median Filter (CWVMF). The comparison shows that the new filter outperforms the CWVMF, as well as other standard procedures used in color image filtering for the removal of impulsive noise.

Original language	English
Title of host publication	Pattern Recognition - 24th DAGM Symposium, Proceedings
Editors	Luc Van Gool, Luc Van Gool, Luc Van Gool
Publisher	Springer Verlag
Pages	166-173
Number of pages	8
ISBN (Print)	354044209X, 9783540442097
DOIs	https://doi.org/10.1007/3-540-45783-6_21
Publication status	Published - 2002
Event	24th Symposium of the German Pattern Recognition Association, DAGM 2002 - Zurich, Switzerland Duration: 16 Sept 2002 → 18 Sept 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2449 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	24th Symposium of the German Pattern Recognition Association, DAGM 2002
Country/Territory	Switzerland
City	Zurich
Period	16/09/02 → 18/09/02

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45783-6_21

Cite this

Smolka, B. (2002). Efficient modification of the central weighted vector median filter. In L. Van Gool, L. Van Gool, & L. Van Gool (Eds.), Pattern Recognition - 24th DAGM Symposium, Proceedings (pp. 166-173). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2449 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-45783-6_21

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abstract = "A new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented. The computational complexity of the new filter is significantly lower than that of the Central Weighted Vector Median Filter (CWVMF). The comparison shows that the new filter outperforms the CWVMF, as well as other standard procedures used in color image filtering for the removal of impulsive noise.",

author = "Bogdan Smolka",

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Smolka, B 2002, Efficient modification of the central weighted vector median filter. in L Van Gool, L Van Gool & L Van Gool (eds), Pattern Recognition - 24th DAGM Symposium, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2449 LNCS, Springer Verlag, pp. 166-173, 24th Symposium of the German Pattern Recognition Association, DAGM 2002, Zurich, Switzerland, 16/09/02. https://doi.org/10.1007/3-540-45783-6_21

Efficient modification of the central weighted vector median filter. / Smolka, Bogdan.
Pattern Recognition - 24th DAGM Symposium, Proceedings. ed. / Luc Van Gool; Luc Van Gool; Luc Van Gool. Springer Verlag, 2002. p. 166-173 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2449 LNCS).

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

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AB - A new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented. The computational complexity of the new filter is significantly lower than that of the Central Weighted Vector Median Filter (CWVMF). The comparison shows that the new filter outperforms the CWVMF, as well as other standard procedures used in color image filtering for the removal of impulsive noise.

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Smolka B. Efficient modification of the central weighted vector median filter. In Van Gool L, Van Gool L, Van Gool L, editors, Pattern Recognition - 24th DAGM Symposium, Proceedings. Springer Verlag. 2002. p. 166-173. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45783-6_21

Efficient modification of the central weighted vector median filter

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