Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81177
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorChen, X-
dc.creatorYu, H-
dc.creatorGeorge, B-
dc.creatorLi, M-
dc.date.accessioned2019-08-22T00:59:47Z-
dc.date.available2019-08-22T00:59:47Z-
dc.identifier.issn0040-5175en_US
dc.identifier.urihttp://hdl.handle.net/10397/81177-
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.subjectColor themeen_US
dc.subjectFabric designen_US
dc.subjectImage segmentationen_US
dc.subjectVariational modelen_US
dc.subjectYarn structureen_US
dc.titleFabric image recolorization based on intrinsic image decompositionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage3617en_US
dc.identifier.epage3631en_US
dc.identifier.volume89en_US
dc.identifier.issue17en_US
dc.identifier.doi10.1177/0040517518817051en_US
dcterms.abstractFabric image recolorization is widely used in assisting designers to generate new color design proposals for fabric. In this paper, a new image recolorization method is proposed. Different from classical image recolorization methods, which need some complicated interactive operations from users, our proposed method can achieve automatic recolorization of images. The proposed method contains three sequential phases: a phase of extracting representative colors from fabric images; an image segmentation phase; and an image reconstruction phase by using given color themes. Integrated with intrinsic image decomposition, a new image segmentation model is designed in a variational framework, and an algorithm is given to solve the model. Our image recolorization results are images that are reconstructed by the composition of the image segmentation results and the given color themes. Numerical results demonstrate that our newly proposed intrinsic image decomposition-based image recolorization method can generate better results than the classical cartoon-and-texture decomposition-based method.-
dcterms.bibliographicCitationTextile research journal, 2019, v. 89, no. 17, p. 3617-3631-
dcterms.isPartOfTextile research journal-
dcterms.issued2019-
dc.identifier.scopus2-s2.0-85061040652-
dc.identifier.eissn1746-7748en_US
dc.description.validate201908 bcwhen_US
dc.description.oaNot applicableen_US
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