2.50
Hdl Handle:
http://hdl.handle.net/10547/292569
Title:
Image interpolation using oriented wavelet transforms
Authors:
Velisavljević, Vladan ( 0000-0001-9980-9368 )
Abstract:
A novel directionally adaptive image interpolation method based on the oriented wavelet transforms is proposed. The method uses the wavelet transforms built along multiple di- rections (directionlets) to e±ciently capture directional features and to extract edge information from the low-resolution image. Then, the high-resolution image is synthesized using the extracted information to preserve sharpness of edges and texture. The novel interpolation algorithm outperforms the state-of-the-art methods in terms of both numeric and visual quality of the interpolated image.
Citation:
Velisavljevic, V. (2008) 'Image interpolation using oriented wavelet transforms', 16th European Signal Processing Conference (EUSIPCO 2008), Lausanne, Switzerland, 25-29 August. Lausanne: EURASIP.
Publisher:
EURASIP
Issue Date:
2008
URI:
http://hdl.handle.net/10547/292569
Additional Links:
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/
Type:
Conference papers, meetings and proceedings
Language:
en
ISSN:
2219-5491
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorVelisavljević, Vladanen_GB
dc.date.accessioned2013-05-22T11:14:24Z-
dc.date.available2013-05-22T11:14:24Z-
dc.date.issued2008-
dc.identifier.citationVelisavljevic, V. (2008) 'Image interpolation using oriented wavelet transforms', 16th European Signal Processing Conference (EUSIPCO 2008), Lausanne, Switzerland, 25-29 August. Lausanne: EURASIP.en_GB
dc.identifier.issn2219-5491-
dc.identifier.urihttp://hdl.handle.net/10547/292569-
dc.description.abstractA novel directionally adaptive image interpolation method based on the oriented wavelet transforms is proposed. The method uses the wavelet transforms built along multiple di- rections (directionlets) to e±ciently capture directional features and to extract edge information from the low-resolution image. Then, the high-resolution image is synthesized using the extracted information to preserve sharpness of edges and texture. The novel interpolation algorithm outperforms the state-of-the-art methods in terms of both numeric and visual quality of the interpolated image.en_GB
dc.language.isoenen
dc.publisherEURASIPen_GB
dc.relation.urlhttp://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/en_GB
dc.subjectimage interpolationen_GB
dc.subjectwavelet-based methoden_GB
dc.titleImage interpolation using oriented wavelet transformsen
dc.typeConference papers, meetings and proceedingsen
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