DWT-DCT-SVD based Hybrid lossy image compression technique

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dc.contributor.authorHnesh, Allaeldien Mohamed G.
dc.contributor.authorDemirel, Hasan
dc.date.accessioned2026-02-06T18:17:06Z
dc.date.issued2016
dc.departmentDoğu Akdeniz Üniversitesi
dc.description2nd International Conference on Image Processing, Applications and Systems (IPAS) -- NOV 05-07, 2016 -- Hamamet, TUNISIA
dc.description.abstracta new hybrid transform coding methodology for lossy image compression that integrates discrete wavelet transform, discrete cosine Transform and singular value decomposition methods is proposed. The proposed system has enhancements in both the compression ratio and the computational time. The results demonstrate the advantages of the proposed system in comparison to the previous discrete cosine transform and singular value decomposition systems, Improvements in both compression ratio and computational time have been reported.
dc.description.sponsorshipIEEE,Inst Engn & Technol,IFSTTAR,Inst Mines Telecom,Univ Sfax,Assoc Boussole Rech Sci,Natl Engn Sch Sfax,Minist Higher Educ & Sci Res
dc.identifier.isbn978-1-5090-1645-7
dc.identifier.scopus2-s2.0-85018537554
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/11129/8811
dc.identifier.wosWOS:000406008700007
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2016 Second International Image Processing, Applications and Systems (Ipas)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectDiscrete cosine transform
dc.subjectDiscrete wavelets transform
dc.subjectLossy image compression
dc.subjectSingular value decomposition
dc.titleDWT-DCT-SVD based Hybrid lossy image compression technique
dc.typeConference Object

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