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dc.contributor.authorVelisavljević, Vladanen_GB
dc.date.accessioned2013-05-22T11:15:52Z
dc.date.available2013-05-22T11:15:52Z
dc.date.issued2008
dc.identifier.citationVelisavljević, V. (2008) 'Edge-preservation resolution enhancement with oriented wavelets', 15th IEEE International Conference on Image Processing (ICIP 2008), San Diego, CA, USA, 12-15 October. San Diego: IEEE, pp.1252-1255.en_GB
dc.identifier.isbn978-1-4244-1764-3
dc.identifier.doi10.1109/ICIP.2008.4711989
dc.identifier.urihttp://hdl.handle.net/10547/292570
dc.description.abstractA novel directionally adaptive image resolution enhancement method is proposed. The method uses a multiple-direction wavelet transform, called directionlets, to efficiently extract edge information along different directions, not necessarily horizontal or vertical, 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 algorithm provides the interpolated images at a higher resolution that are better than the images obtained by the state-of-the-art methods in terms of both numeric and visual quality
dc.language.isoenen
dc.publisherieen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4711989en_GB
dc.subjectedge detectionen_GB
dc.subjectimage enhancementen_GB
dc.subjectimage resolutionen_GB
dc.subjectimage textureen_GB
dc.subjectwavelet transformsen_GB
dc.titleEdge-preservation resolution enhancement with oriented waveletsen
dc.typeConference papers, meetings and proceedingsen
html.description.abstractA novel directionally adaptive image resolution enhancement method is proposed. The method uses a multiple-direction wavelet transform, called directionlets, to efficiently extract edge information along different directions, not necessarily horizontal or vertical, 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 algorithm provides the interpolated images at a higher resolution that are better than the images obtained by the state-of-the-art methods in terms of both numeric and visual quality


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