Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/779
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dc.contributor.authorAyoubi, Randaen_US
dc.contributor.authorBayoumi, Magdy A.en_US
dc.contributor.authorAyoubi, Raficen_US
dc.date.accessioned2020-12-23T08:36:56Z-
dc.date.available2020-12-23T08:36:56Z-
dc.date.issued2014-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/779-
dc.description.abstractMedical Imaging has historically been very successful to expose the patient's anatomy beyond external visibility; thus, allowing more efficient and accurate treatments. The field of medicine continues to search for new techniques in order to increase accuracy, reduce complications, enable real-time feedback, allow early detection and reduce human errors. Various medical imaging techniques exist but suffer from multiple correlated noise or performance that hinders real-time application; ie, ultrasounds. Our contribution attempts to solve both of these problems efficiently to be enable real-time procedures Our work is based on the hybrid median filter. We implemented Parallelized Hybrid Median Filter on FPGA Virtex6 in order to be able to exploit parallelism and real-time capabilities. We were able to get the desirable visual results for experts at 382MHz frequency with 150μs completion time for full 512×512 ultrasound image to complete despeckle.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectBiomedical ultrasonicsen_US
dc.subjectMedian filtersen_US
dc.subjectMedical image processingen_US
dc.subject.lcshSpeckleen_US
dc.subject.lcshField programmable gate arraysen_US
dc.titleReal-time parallelized hybrid median filter for speckle removal in ultrasound imagesen_US
dc.typeConference Paperen_US
dc.relation.conferenceIEEE Global Conference on Signal and Information Processing (GlobalSIP) (3-5 Dec 2014 : Atlanta, GA, USA)en_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.date.catalogued2018-01-10-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/document/7032079/en_US
dc.identifier.OlibID176012-
dc.relation.ispartoftextSignal and Information Processing (GlobalSIP), IEEE Global Conference on 2014en_US
dc.provenance.recordsourceOliben_US
Appears in Collections:Department of Computer Engineering
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