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dc.contributor.authorDuan, J.
dc.contributor.authorPan, Z.
dc.contributor.authorLiu, Wan-Quan
dc.contributor.authorKinnear, T.
dc.date.accessioned2017-01-30T14:47:04Z
dc.date.available2017-01-30T14:47:04Z
dc.date.created2014-02-24T20:00:22Z
dc.date.issued2013
dc.identifier.citationDuan, Jinming and Pan, Zhenkuan and Liu, Wanquan and Tai, Xue-Cheng. 2013. Color texture image inpainting using the non local CTV model. Journal of Signal & Information Processing. 4: pp. 43-51.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/40942
dc.identifier.doi10.4236/jsip.2013.43B008
dc.description.abstract

The classical TV (Total Variation) model has been applied to gray texture image denoising and inpainting previously based on the non local operators, but such model can not be directly used to color texture image inpainting due to coupling of different image layers in color images. In order to solve the inpainting problem for color texture images effectively, we propose a non local CTV (Color Total Variation) model. Technically, the proposed model is an extension of local TV model for gray images but we take account of the coupling of different layers in color images and make use of concepts of the non-local operators. As the coupling of different layers for color images in the proposed model will in- crease computational complexity, we also design a fast Split Bregman algorithm. Finally, some numerical experiments are conducted to validate the performance of the proposed model and its algorithm.

dc.publisherScientific Research
dc.subjectThe Split Bregman Algorithm
dc.subjectImage Inpainting
dc.subjectColor Texture Images
dc.subjectNL-CTV Model
dc.subjectTV Model
dc.titleColor texture image inpainting using the non local CTV model
dc.typeJournal Article
dcterms.source.volume4
dcterms.source.startPage43
dcterms.source.endPage51
dcterms.source.issn2159-4465
dcterms.source.titleJournal of Signal & Information Processing
curtin.department
curtin.accessStatusOpen access via publisher


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