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Conference Paper: A new nonlinear diffusion method to improve image quality

TitleA new nonlinear diffusion method to improve image quality
Authors
Zhang, YXu, XCai, HYung, SPWong, STC
KeywordsDiffusion
Noise removal
PDE
Issue Date2006
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349
Citation
Proceedings - International Conference On Image Processing, Icip, 2006, v. 1, p. I329-I332 How to Cite?
DOI: http://dx.doi.org/10.1109/ICIP.2007.4378958
AbstractWe propose a nonlinear diffusion method based on the gradient vector field construction to remove noises in image while preserving fine details. The bloeky effect and over-smoothing, as usually seen in images processed by diffusion operators, are greatly reduced by our method. Results obtained from various images, including synthetic and magnetic resonance imaging (MRI), are used to demonstrate the performance of our new method. Comparing it with other diffusion methods, we find it obtains better performance in terms of removing noises without destroying detail features of images. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/100371
ISSN
1522-4880
2020 SCImago Journal Rankings: 0.315
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhang, Yen_HK
dc.contributor.authorXu, Xen_HK
dc.contributor.authorCai, Hen_HK
dc.contributor.authorYung, SPen_HK
dc.contributor.authorWong, STCen_HK
dc.date.accessioned2010-09-25T19:07:20Z-
dc.date.available2010-09-25T19:07:20Z-
dc.date.issued2006en_HK
dc.identifier.citationProceedings - International Conference On Image Processing, Icip, 2006, v. 1, p. I329-I332en_HK
dc.identifier.issn1522-4880en_HK
dc.identifier.urihttp://hdl.handle.net/10722/100371-
dc.description.abstractWe propose a nonlinear diffusion method based on the gradient vector field construction to remove noises in image while preserving fine details. The bloeky effect and over-smoothing, as usually seen in images processed by diffusion operators, are greatly reduced by our method. Results obtained from various images, including synthetic and magnetic resonance imaging (MRI), are used to demonstrate the performance of our new method. Comparing it with other diffusion methods, we find it obtains better performance in terms of removing noises without destroying detail features of images. © 2007 IEEE.en_HK
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349en_HK
dc.relation.ispartofProceedings - International Conference on Image Processing, ICIPen_HK
dc.subjectDiffusionen_HK
dc.subjectNoise removalen_HK
dc.subjectPDEen_HK
dc.titleA new nonlinear diffusion method to improve image qualityen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYung, SP:spyung@hkucc.hku.hken_HK
dc.identifier.authorityYung, SP=rp00838en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICIP.2007.4378958en_HK
dc.identifier.scopuseid_2-s2.0-48149093709en_HK
dc.identifier.hkuros155603en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-48149093709&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume1en_HK
dc.identifier.spageI329en_HK
dc.identifier.epageI332en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhang, Y=7601333812en_HK
dc.identifier.scopusauthoridXu, X=7405293993en_HK
dc.identifier.scopusauthoridCai, H=14420921700en_HK
dc.identifier.scopusauthoridYung, SP=7006540951en_HK
dc.identifier.scopusauthoridWong, STC=24726534400en_HK
dc.identifier.issnl1522-4880-

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