Wavelet-based contourlet in quality evaluation of digital images

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dc.contributor.author Gao, X
dc.contributor.author Lu, W
dc.contributor.author Li, X
dc.contributor.author Tao, D
dc.date.accessioned 2012-02-02T08:57:10Z
dc.date.issued 2008-01
dc.identifier.citation Neurocomputing, 2008, 72 (1-3), pp. 378 - 385
dc.identifier.issn 0925-2312
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
dc.publisher Elsevier Science Bv
dc.relation.isbasedon 10.1016/j.neucom.2007.12.031
dc.title Wavelet-based contourlet in quality evaluation of digital images
dc.type Journal Article
dc.parent Neurocomputing
dc.journal.volume 1-3
dc.journal.volume 72
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 0801 Artificial Intelligence and Image Processing
dc.personcode 111502
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.description.keywords Digital image processing
dc.description.keywords Quality evaluation
dc.description.keywords Reduced-reference
dc.description.keywords Visual perception
dc.description.keywords Contourlet transform
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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