Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/704
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dc.contributor.authorKerek, Bilal Elen_US
dc.contributor.authorBaba, Hani Elen_US
dc.contributor.authorHassan, Moustapha Elen_US
dc.contributor.authorHassan, Bachar Elen_US
dc.date.accessioned2020-12-23T08:35:20Z-
dc.date.available2020-12-23T08:35:20Z-
dc.date.issued2014-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/704-
dc.description.abstractThe vision is seeing an image using two different perspectives using human eyes. Any image has a size in the memory of the system, this image could be compressed or decompressed through several methods. In this paper, the disparity using block matching is used as a method of stereo image compression. It gives a high compression rate. On the other hand, more compression can be done by watermarking. Since block matching produced very small information, a simple method such as the Least Significant Bit is used along with two levels of Hamming code in order to increase the robustness. The compression and the watermarking results are demonstrated, and the system is analyzed.en_US
dc.format.extent5 p.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectStereo image processingen_US
dc.subjectData compression--Data compression--Data compressionen_US
dc.subjectHamming codesen_US
dc.subjectImage codingen_US
dc.subjectImage matchingen_US
dc.subjectImage watermarkingen_US
dc.titleA New technique to multiplex stereo images: LSB watermarking and hamming codeen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Conference on Artificial Intelligence, Modelling and Simulation (1st : 3-5 Dec. 2013 : Kota Kinabalu, Malaysia)en_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.description.startpage267en_US
dc.description.endpage271en_US
dc.date.catalogued2018-02-23-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/document/6959927/en_US
dc.identifier.OlibID178028-
dc.relation.ispartoftext1st International Conference on Artificial Intelligence, Modelling and Simulation (AIMS 2013)en_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Electrical Engineering
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