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dc.contributor.authorKamisli, Fatih
dc.contributor.authorLim, Jae S.
dc.date.accessioned2010-10-19T16:58:22Z
dc.date.available2010-10-19T16:58:22Z
dc.date.issued2010-02
dc.identifier.isbn978-1-4244-5655-0
dc.identifier.isbn978-1-4244-5653-6
dc.identifier.issn1522-4880
dc.identifier.otherINSPEC Accession Number: 11141747
dc.identifier.urihttp://hdl.handle.net/1721.1/59407
dc.description.abstractVarious directional transforms have been developed recently to improve image compression. In video compression, however, prediction residuals of image intensities, such as the motion compensation residual or the resolution enhancement residual, are transformed. The applicability of the directional transforms on prediction residuals have not been carefully investigated. In this paper, we briefly discuss differing characteristics of prediction residuals and images, and propose directional transforms specifically designed for prediction residuals. We compare these transforms with the directional transforms proposed for images using prediction residuals. The results of the comparison indicate that our proposed directional transforms can provide better compression of prediction residuals than the directional transforms proposed for images.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICIP.2009.5413857en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.subjectVideo codingen_US
dc.subjectWavelet transformsen_US
dc.titleDirectional wavelet transforms for prediction residuals in video codingen_US
dc.typeArticleen_US
dc.identifier.citationKamisli, F., and J.S. Lim. “Directional wavelet transforms for prediction residuals in video coding.” Image Processing (ICIP), 2009 16th IEEE International Conference on. 2009. 613-616. © 2009 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.approverLim, Jae S.
dc.contributor.mitauthorKamisli, Fatih
dc.contributor.mitauthorLim, Jae S.
dc.relation.journal2009 16th IEEE International Conference on Image Processing (ICIP)en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKamisli, Fatih; Lim, Jae S.en
dc.identifier.orcidhttps://orcid.org/0000-0002-9170-784X
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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