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- Publisher Website: 10.1109/ICASSP.2007.366006
- Scopus: eid_2-s2.0-34547506083
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Conference Paper: Stabilized anisotropic diffusions
Title | Stabilized anisotropic diffusions |
---|---|
Authors | |
Keywords | Anisotropic Diffusion Image Enhancement Partial Differential Equation Signal Restoration Total Variation |
Issue Date | 2007 |
Citation | Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2007, v. 1, p. I709-I712 How to Cite? |
Abstract | Anisotropic diffusion is an iterative process which provides efficient signal smoothing with feature preserving capabilities. However, the traditional anisotropic diffusion algorithms are highly sensitive to the number of iterations. In this paper, we introduce a novel method in the diffusion formulations to stabilize the diffusion results. It is generally applicable to most of the anisotropic diffusion algorithms, and the experimental results show that the stabilized algorithms provide improved results. © 2007 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/158476 |
ISSN | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sum, AKW | en_US |
dc.contributor.author | Cheung, PYS | en_US |
dc.date.accessioned | 2012-08-08T08:59:49Z | - |
dc.date.available | 2012-08-08T08:59:49Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.citation | Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2007, v. 1, p. I709-I712 | en_US |
dc.identifier.issn | 1520-6149 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/158476 | - |
dc.description.abstract | Anisotropic diffusion is an iterative process which provides efficient signal smoothing with feature preserving capabilities. However, the traditional anisotropic diffusion algorithms are highly sensitive to the number of iterations. In this paper, we introduce a novel method in the diffusion formulations to stabilize the diffusion results. It is generally applicable to most of the anisotropic diffusion algorithms, and the experimental results show that the stabilized algorithms provide improved results. © 2007 IEEE. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | en_US |
dc.subject | Anisotropic Diffusion | en_US |
dc.subject | Image Enhancement | en_US |
dc.subject | Partial Differential Equation | en_US |
dc.subject | Signal Restoration | en_US |
dc.subject | Total Variation | en_US |
dc.title | Stabilized anisotropic diffusions | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Cheung, PYS:paul.cheung@hku.hk | en_US |
dc.identifier.authority | Cheung, PYS=rp00077 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1109/ICASSP.2007.366006 | en_US |
dc.identifier.scopus | eid_2-s2.0-34547506083 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-34547506083&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 1 | en_US |
dc.identifier.spage | I709 | en_US |
dc.identifier.epage | I712 | en_US |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Sum, AKW=36950566000 | en_US |
dc.identifier.scopusauthorid | Cheung, PYS=7202595335 | en_US |
dc.identifier.issnl | 1520-6149 | - |