Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/455
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dc.contributor.authorAbche, Antoineen_US
dc.contributor.authorSalam, Alaaen_US
dc.contributor.authorInaty, Elieen_US
dc.contributor.authorKaram, Elieen_US
dc.date.accessioned2020-12-23T08:30:46Z-
dc.date.available2020-12-23T08:30:46Z-
dc.date.issued2015-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/455-
dc.description.abstractIn this work, an approach that incorporates the compression of images to transmit high resolution medical images is presented. It is based on a double blind CDMA technology. The proposed approach assumes that several users (medical practitioners, doctors) are transmitting images from one location to another simultaneously. The images are encoded using two-steps procedure: 1) coding the pixels (users) using spatial Optical Orthogonal Signature Patterns (OOSPs) and 2) coding the bits using time orthogonal basis functions. The encoding procedure follows the compression of images to reduce the occurrence of ghost pulses and to increase the transmission rate. Then, the encoded images are combined using a multiplexer and the results are transmitted over multi-core optical fiber. The aim of this approach is to achieve a fast transmission (parallel transmission). At the receiver end, the information is collected and is de-multiplexed to identify the user and to reconstruct the original images i.e. is decoded using the same double blind Orthogonal Signatures and compression techniques that are implemented for encoding purposes. The performance is quantitatively evaluated using Monte-Carlo simulation techniques by studying different criteria: Bit Error Rate, Root Mean Square Error and Pixel Error Rate.en_US
dc.format.extent6 p.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectOptical fibre communicationen_US
dc.subjectBiomedical communicationen_US
dc.subjectCode division multiplexingen_US
dc.subjectData compression--Data compression--Data compressionen_US
dc.subjectImage codingen_US
dc.subjectMedical image processingen_US
dc.subjectMonte Carlo methodsen_US
dc.subject.lcshCode division multiple accessen_US
dc.titleCompression Techniques for Medical Images Transmission over Multi Core Optical Fiber Using CDMAen_US
dc.typeConference Paperen_US
dc.relation.conferenceEUROSIM Congress on Modelling and Simulation (8th : 10-13 Sept. 2013 : Cardiff, UK)en_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.description.startpage384en_US
dc.description.endpage389en_US
dc.date.catalogued2018-02-16-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/document/7004973/en_US
dc.identifier.OlibID177817-
dc.relation.ispartoftextEUROSIM 2013en_US
dc.provenance.recordsourceOliben_US
Appears in Collections:Department of Electrical Engineering
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