Abstract
To perform well, an image noise reduction method should be built upon an effective noise detection scheme. However, almost all the noise reduction methods published in recent years are in lack of a well-designed noise detection scheme. As a matter of fact, they are nothing more than only filters for noise reduction, such as the standard median (SM) filter and the center-weighted median (CWM) filter. Although these filters already have a good performance on noise reduction, they will surely be able to do even better if there exists a nice detection method. In this paper, we shall propose a new noise detection method that is based on the human visual effect and is used to reduce the impulse noise of images. The detection function is used to classify each pixel into the group of either corrupted pixels or uncorrupted pixels. After this classification, we shall also propose a filter scheme based on the standard median filter to process the corrupted pixels. In our experiment results, we shall show the performance of our method in comparison with some popular filters in recent years, like the standard median filter and the center-weighted median filter (both without noise detection methods) as well as other filters like the noise adaptive soft-switching median filter, which has a noise detection method different from ours.
| Original language | English |
|---|---|
| Title of host publication | ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1879-1883 |
| Number of pages | 5 |
| Volume | 3 |
| ISBN (Electronic) | 0780381858, 9780780381858 |
| DOIs | |
| Publication status | Published - 2003 Jan 1 |
| Event | Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia, ICICS-PCM 2003 - Singapore, Singapore Duration: 2003 Dec 15 → 2003 Dec 18 |
Other
| Other | Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia, ICICS-PCM 2003 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 03-12-15 → 03-12-18 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Media Technology
- Computer Networks and Communications
Cite this
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A fast noise reduction method based on human visual system. / Chang, Chin Chen; Hsiao, Ju Yuan; Hsieh, Chih Ping.
ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia. Vol. 3 Institute of Electrical and Electronics Engineers Inc., 2003. p. 1879-1883 1292793.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A fast noise reduction method based on human visual system
AU - Chang, Chin Chen
AU - Hsiao, Ju Yuan
AU - Hsieh, Chih Ping
PY - 2003/1/1
Y1 - 2003/1/1
N2 - To perform well, an image noise reduction method should be built upon an effective noise detection scheme. However, almost all the noise reduction methods published in recent years are in lack of a well-designed noise detection scheme. As a matter of fact, they are nothing more than only filters for noise reduction, such as the standard median (SM) filter and the center-weighted median (CWM) filter. Although these filters already have a good performance on noise reduction, they will surely be able to do even better if there exists a nice detection method. In this paper, we shall propose a new noise detection method that is based on the human visual effect and is used to reduce the impulse noise of images. The detection function is used to classify each pixel into the group of either corrupted pixels or uncorrupted pixels. After this classification, we shall also propose a filter scheme based on the standard median filter to process the corrupted pixels. In our experiment results, we shall show the performance of our method in comparison with some popular filters in recent years, like the standard median filter and the center-weighted median filter (both without noise detection methods) as well as other filters like the noise adaptive soft-switching median filter, which has a noise detection method different from ours.
AB - To perform well, an image noise reduction method should be built upon an effective noise detection scheme. However, almost all the noise reduction methods published in recent years are in lack of a well-designed noise detection scheme. As a matter of fact, they are nothing more than only filters for noise reduction, such as the standard median (SM) filter and the center-weighted median (CWM) filter. Although these filters already have a good performance on noise reduction, they will surely be able to do even better if there exists a nice detection method. In this paper, we shall propose a new noise detection method that is based on the human visual effect and is used to reduce the impulse noise of images. The detection function is used to classify each pixel into the group of either corrupted pixels or uncorrupted pixels. After this classification, we shall also propose a filter scheme based on the standard median filter to process the corrupted pixels. In our experiment results, we shall show the performance of our method in comparison with some popular filters in recent years, like the standard median filter and the center-weighted median filter (both without noise detection methods) as well as other filters like the noise adaptive soft-switching median filter, which has a noise detection method different from ours.
UR - http://www.scopus.com/inward/record.url?scp=70449733697&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449733697&partnerID=8YFLogxK
U2 - 10.1109/ICICS.2003.1292793
DO - 10.1109/ICICS.2003.1292793
M3 - Conference contribution
VL - 3
SP - 1879
EP - 1883
BT - ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia
PB - Institute of Electrical and Electronics Engineers Inc.
ER -