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 language | English |
|---|---|
| Title of host publication | Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings |
| Editors | Yung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu |
| Publisher | Springer Verlag |
| Pages | 386-392 |
| Number of pages | 7 |
| ISBN (Print) | 3540002626, 9783540002628 |
| Publication status | Published - 2002 Jan 1 |
| Event | 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan Duration: 2002 Dec 16 → 2002 Dec 18 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2532 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 |
|---|---|
| Country | Taiwan |
| City | Hsinchu |
| Period | 02-12-16 → 02-12-18 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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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 proceeding › Conference 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 -