A fast and efficient noise reduction method suitable for low noise density

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A fast and efficient noise reduction method is proposed in this paper. The main idea of the method is to reduce the running time of the standard median filter. The major difference between our method and the standard median filter is the preprocessing work before filtering. We use a simple noise detection scheme to decide which pixel should be processed with the standard median filter. Our noise detection scheme is based on image hiding technology. The experimental results show that our method uses only about a quarter of the running time consumed by the standard median filter. By the experimental results, we shall also show that our method is more suitable for low noise density than other famous median filters like the standard median filter and the center weighted median filter.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
EditorsYung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu
PublisherSpringer Verlag
Pages386-392
Number of pages7
ISBN (Print)3540002626, 9783540002628
Publication statusPublished - 2002 Jan 1
Event3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan
Duration: 2002 Dec 162002 Dec 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2532
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
CountryTaiwan
CityHsinchu
Period02-12-1602-12-18

Fingerprint

Median Filter
Median filters
Noise Reduction
Noise abatement
Reduction Method
Acoustic noise
Image Hiding
Experimental Results
Preprocessing
Filtering
Pixel
Pixels
Standards

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chang, C. C., Hsieh, C. P., & Hsiao, J-Y. (2002). A fast and efficient noise reduction method suitable for low noise density. In Y-C. Chen, L-W. Chang, & C-T. Hsu (Eds.), Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings (pp. 386-392). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2532). Springer Verlag.
Chang, Chin Chen ; Hsieh, Chih Ping ; Hsiao, Ju-Yuan. / A fast and efficient noise reduction method suitable for low noise density. Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. editor / Yung-Chang Chen ; Long-Wen Chang ; Chiou-Ting Hsu. Springer Verlag, 2002. pp. 386-392 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{87ead4c7323449469b9a21ac2b01ae3f,
title = "A fast and efficient noise reduction method suitable for low noise density",
abstract = "A fast and efficient noise reduction method is proposed in this paper. The main idea of the method is to reduce the running time of the standard median filter. The major difference between our method and the standard median filter is the preprocessing work before filtering. We use a simple noise detection scheme to decide which pixel should be processed with the standard median filter. Our noise detection scheme is based on image hiding technology. The experimental results show that our method uses only about a quarter of the running time consumed by the standard median filter. By the experimental results, we shall also show that our method is more suitable for low noise density than other famous median filters like the standard median filter and the center weighted median filter.",
author = "Chang, {Chin Chen} and Hsieh, {Chih Ping} and Ju-Yuan Hsiao",
year = "2002",
month = "1",
day = "1",
language = "English",
isbn = "3540002626",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "386--392",
editor = "Yung-Chang Chen and Long-Wen Chang and Chiou-Ting Hsu",
booktitle = "Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings",
address = "Germany",

}

Chang, CC, Hsieh, CP & Hsiao, J-Y 2002, A fast and efficient noise reduction method suitable for low noise density. in Y-C Chen, L-W Chang & C-T Hsu (eds), Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2532, Springer Verlag, pp. 386-392, 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002, Hsinchu, Taiwan, 02-12-16.

A fast and efficient noise reduction method suitable for low noise density. / Chang, Chin Chen; Hsieh, Chih Ping; Hsiao, Ju-Yuan.

Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. ed. / Yung-Chang Chen; Long-Wen Chang; Chiou-Ting Hsu. Springer Verlag, 2002. p. 386-392 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2532).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A fast and efficient noise reduction method suitable for low noise density

AU - Chang, Chin Chen

AU - Hsieh, Chih Ping

AU - Hsiao, Ju-Yuan

PY - 2002/1/1

Y1 - 2002/1/1

N2 - A fast and efficient noise reduction method is proposed in this paper. The main idea of the method is to reduce the running time of the standard median filter. The major difference between our method and the standard median filter is the preprocessing work before filtering. We use a simple noise detection scheme to decide which pixel should be processed with the standard median filter. Our noise detection scheme is based on image hiding technology. The experimental results show that our method uses only about a quarter of the running time consumed by the standard median filter. By the experimental results, we shall also show that our method is more suitable for low noise density than other famous median filters like the standard median filter and the center weighted median filter.

AB - A fast and efficient noise reduction method is proposed in this paper. The main idea of the method is to reduce the running time of the standard median filter. The major difference between our method and the standard median filter is the preprocessing work before filtering. We use a simple noise detection scheme to decide which pixel should be processed with the standard median filter. Our noise detection scheme is based on image hiding technology. The experimental results show that our method uses only about a quarter of the running time consumed by the standard median filter. By the experimental results, we shall also show that our method is more suitable for low noise density than other famous median filters like the standard median filter and the center weighted median filter.

UR - http://www.scopus.com/inward/record.url?scp=84949944996&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949944996&partnerID=8YFLogxK

M3 - Conference contribution

SN - 3540002626

SN - 9783540002628

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 386

EP - 392

BT - Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings

A2 - Chen, Yung-Chang

A2 - Chang, Long-Wen

A2 - Hsu, Chiou-Ting

PB - Springer Verlag

ER -

Chang CC, Hsieh CP, Hsiao J-Y. A fast and efficient noise reduction method suitable for low noise density. In Chen Y-C, Chang L-W, Hsu C-T, editors, Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. Springer Verlag. 2002. p. 386-392. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).