Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/886
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dc.contributor.authorDagher, Issamen_US
dc.contributor.authorTaleb, Catherineen_US
dc.date.accessioned2020-12-23T08:38:49Z-
dc.date.available2020-12-23T08:38:49Z-
dc.date.issued2014-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/886-
dc.description.abstractThis paper improves the Wiener filter in the wavelet domain without the usual zero mean assumption. An improved LESE (local expected square error) formula is derived. For each block size, the LESE and LESEimproved are computed. The block size that gave the minimum LESE is chosen. For that block if LESE is less than LESEimproved then the zero-mean filter is used else the non-zero mean filter is used. The improved filter gave a higher PSNR for all the test images and all the noise variances that we have used.en_US
dc.format.extent5 p.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectWiener filteren_US
dc.subjectImage denoisingen_US
dc.subjectMean square error methodsen_US
dc.subjectWavelet transformen_US
dc.titleVariable block wavelet wiener estimator in image denoisingen_US
dc.typeConference Paperen_US
dc.relation.conferenceMELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference (13-16 April 2014 : Beirut, Lebanon)en_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.description.startpage479en_US
dc.description.endpage483en_US
dc.date.catalogued2018-02-19-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/document/6820581/en_US
dc.identifier.OlibID177888-
dc.relation.ispartoftextElectrotechnical Conference (MELECON), 2014 17th IEEE Mediterraneanen_US
dc.provenance.recordsourceOliben_US
Appears in Collections:Department of Computer Engineering
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