Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2081
DC FieldValueLanguage
dc.contributor.authorDagher, Issamen_US
dc.contributor.authorSaliba, Mireilleen_US
dc.contributor.authorFarah, Rachelleen_US
dc.date.accessioned2020-12-23T09:05:55Z-
dc.date.available2020-12-23T09:05:55Z-
dc.date.issued2019-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/2081-
dc.description.abstractIn this paper we have constructed a new hybrid transform. We have combined the DCT block and the Haar block into one block which we have called hybrid DCT-HAAR block. This new block combines the advantages of the DCT which works extremely well for highly correlated data and the advantages of the Haar transform which gives superior results for images exhibiting rapid gradient variations. The DCT is applied to the upper left corner of the block. The Haar is applied to the remaining parts of the block. We derived the equations of the matrix M needed to recover the hybrid block. Our method increased the PSNR obtained by the DCT transform and enhanced the edge recovery of the Haar transform.en_US
dc.language.isoengen_US
dc.subjectDCTen_US
dc.subjectHaaren_US
dc.subjectWaveletsen_US
dc.subjectHybriden_US
dc.subjectPSNRen_US
dc.titleHybrid DCT-HAAR blocken_US
dc.typeJournal Articleen_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.description.volume78en_US
dc.description.startpage17265en_US
dc.description.endpage17286en_US
dc.date.catalogued2020-02-19-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://link.springer.com/article/10.1007/s11042-018-7039-5en_US
dc.identifier.OlibID252481-
dc.relation.ispartoftextJournal of multimedia tools and applicationsen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Computer Engineering
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