HEAL DSpace

Texture modulation-constrained image decomposition

Αποθετήριο DSpace/Manakin

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dc.contributor.author Evangelopoulos, G en
dc.contributor.author Maragos, P en
dc.date.accessioned 2014-03-01T02:45:48Z
dc.date.available 2014-03-01T02:45:48Z
dc.date.issued 2008 en
dc.identifier.issn 15224880 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32403
dc.subject Image decomposition en
dc.subject Modulations en
dc.subject PDEs en
dc.subject Reconstruction en
dc.subject Texture en
dc.subject Variational methods en
dc.subject.other Component selection en
dc.subject.other Image components en
dc.subject.other Image decomposition en
dc.subject.other Linear filters en
dc.subject.other Multiple texture en
dc.subject.other PDEs en
dc.subject.other Reconstruction en
dc.subject.other Spatial frequency en
dc.subject.other Texture image en
dc.subject.other Texture modeling en
dc.subject.other Variational methods en
dc.subject.other Aircraft engines en
dc.subject.other Image processing en
dc.subject.other Imaging systems en
dc.subject.other Modulation en
dc.subject.other Repair en
dc.subject.other Textures en
dc.subject.other Image reconstruction en
dc.title Texture modulation-constrained image decomposition en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICIP.2008.4711874 en
heal.identifier.secondary 4711874 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICIP.2008.4711874 en
heal.publicationDate 2008 en
heal.abstract Texture modeling and separation of structure in images are treated in synergy. A variational image decomposition scheme is formulated using explicit texture reconstruction constraints from the outputs of linear filters tuned to different spatial frequencies and orientations. Relevant to the texture image part information is reconstructed using modulation modeling and component selection. The general formulation leads to a u + Kv model of K +1 image components, with multiple texture subcomponents. © 2008 IEEE. en
heal.journalName Proceedings - International Conference on Image Processing, ICIP en
dc.identifier.doi 10.1109/ICIP.2008.4711874 en
dc.identifier.spage 793 en
dc.identifier.epage 796 en


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