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AuthorSaleem, A.
AuthorBeghdadi, A.
AuthorChetouani, A.
AuthorBoashash, B.
Available date2014-04-27T12:19:16Z
Publication Date2011
Publication NameIEEE Symposium on Signal and Vision Processing (CIMSIVP) 2011
CitationAmina, S.; Azeddine, B.; Aladine, C.; Boashash, B., "A radon wigner ville based image dissimilarity measure," Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2011 IEEE Symposium on , vol., no., pp.122,126, 11-15 April 2011
URIhttp://hdl.handle.net/10576/10990
URIhttp://dx.doi.org/10.1109/CIMSIVP.2011.5949255
AbstractIn this paper, we introduce a radon wigner ville based image dissimilarity measure. The proposed Image distortion measure aims to combine the useful properties of the wigner ville and the directionality of the finite Radon transform for image quality assessment. The results are compared with several HVS and transform based measures of image quality on the basis of complexity of these measures and their consistency with subjective assessment.
Languageen
PublisherIEEE
SubjectRadon transforms
distortion
image processing
Radon wigner ville
finite Radon transform
image dissimilarity measure
image distortion measure
image quality assessment
subjective assessment
TitleA radon wigner ville based image dissimilarity measure
TypeConference Paper


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