Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/23205
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dc.contributor.authorAbd Algader, Nidal Mohammed-
dc.contributor.authorSupervisor, - Mohammed Yagoub-
dc.date.accessioned2019-08-28T09:11:22Z-
dc.date.available2019-08-28T09:11:22Z-
dc.date.issued2018-03-10-
dc.identifier.citationAbd Algader, Nidal Mohammed . MEDICAL IMAGE COMPRESSION USING HUFFMAN AND ARITHMETIC CODE ALOGARITHMS FOR TELEMEDICINE / Nidal Mohammed Abd Algader ; Mohammed Yagoub .- Khartoum: Sudan University of Science and Technology, college of Engineering, 2018 .- 49p. :ill. ;28cm .- M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/23205-
dc.descriptionThesisen_US
dc.description.abstractMedical image play important role in medical investigation. Medical image use in telemedicine field too. When transferring or archiving was demanded, image needs to be compressed so as to reduce its size. Whereas reduction of image size contributes on reduce the bandwidth which is needed to transmit image and minimize the space of storage in archiving case. There are many standards used to deal with medical image like (PACS), (DICOM). In this research two algorithms were created to compress and decompress medical image without losing information compared with the original. Also performance of two algorithms would be measure. Huffman and Arithmetic were used and observe that the arithmetic algorithms work more best than Huffman algorithm. Whereas the compression ratio of Arithmetic algorithm equal to(3.2) and the compression ratio of Huffman algorithm is(3.14).en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectBiomedical Engineeringen_US
dc.subjectALOGARITHMS FOR TELEMEDICINEen_US
dc.subjectHUFFMAN AND ARITHMETIC CODEen_US
dc.titleMEDICAL IMAGE COMPRESSION USING HUFFMAN AND ARITHMETIC CODE ALOGARITHMS FOR TELEMEDICINEen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

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