Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2092
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dc.contributor.authorDagher, Issamen_US
dc.contributor.authorTaleb, Catherineen_US
dc.date.accessioned2020-12-23T09:06:09Z-
dc.date.available2020-12-23T09:06:09Z-
dc.date.issued2014-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/2092-
dc.description.abstractVisual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. This paper uses the fourth order nonlinear wiener filter with wavelet quadtree decomposition and median absolute deviation. It will be shown that this new algorithm is comparable to other algorithms like BM3D, LPG-PCA, and KSVD.en_US
dc.format.extent9 p.en_US
dc.language.isoengen_US
dc.titleImage denoising using fourth order wiener filter with wavelet quadtree decomposition.en_US
dc.typeJournal Articleen_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.description.volume2014en_US
dc.description.startpage1en_US
dc.description.endpage9en_US
dc.date.catalogued2017-11-09-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://search.proquest.com/docview/1561732651?accountid=8475en_US
dc.identifier.OlibID174873-
dc.relation.ispartoftextJournal of electrical & computer engineeringen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Computer Engineering
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