Wavelet-based contourlet in quality evaluation of digital images

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dc.contributor.author Gao, Xinbo en_US
dc.contributor.author Lu, Wen en_US
dc.contributor.author Li, Xuelong en_US
dc.contributor.author Tao, Dacheng en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T08:57:10Z
dc.date.available 2012-02-02T08:57:10Z
dc.date.issued 2008 en_US
dc.identifier 2011000278 en_US
dc.identifier.citation Gao Xinbo et al. 2008, 'Wavelet-based contourlet in quality evaluation of digital images', Elsevier Science Bv, vol. 72, no. 1-3, pp. 378-385. en_US
dc.identifier.issn 0925-2312 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15057
dc.description.abstract Feature extraction is probably the most important stage in image quality evaluation-effective features can well reflect the quality of digital images and vice versa. As a non-redundant sparse representation, contourlet transform can effectively reflect v en_US
dc.language en_US
dc.publisher Elsevier Science Bv en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.neucom.2007.12.031 en_US
dc.title Wavelet-based contourlet in quality evaluation of digital images en_US
dc.parent Neurocomputing en_US
dc.journal.volume 72 en_US
dc.journal.number 1-3 en_US
dc.publocation Amsterdam en_US
dc.identifier.startpage 378 en_US
dc.identifier.endpage 385 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 0000066516 en_US
dc.personcode 0000072401 en_US
dc.personcode 0000066518 en_US
dc.personcode 111502 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Digital image processing; Quality evaluation; Reduced-reference; Visual perception; Contourlet transform en_US
dc.staffid 111502 en_US

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