Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24115
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dc.coverage.spatialWatermarking in medical images based on singular value decomposition in frequency domain using chaotic mapsen_US
dc.date.accessioned2014-08-26T05:36:19Z-
dc.date.available2014-08-26T05:36:19Z-
dc.date.issued2014-08-26-
dc.identifier.urihttp://hdl.handle.net/10603/24115-
dc.description.abstractInformation security is an important aspect that needs to be addressed while transmitting information across healthcare industry Medical information that is relevant for patient s diagnosis has to be reliable and efficient with good quality control Information needs to be transmitted safely between clinicians without breaching confidentiality as well as preserving original data Protected and secure medical information is essential for health newlineinsurance and better patient management Due to the technological advancement in communication access to any information pertaining to medical images is simple However this convenience also causes substantial increase in illegal operations to medical images such as duplication modification forgery copy right protection and others Therefore the protection of digital media has become an imperative issue Therefore digital watermarking has drawn much attention of research community to resolve these pressing problems due to its advantages The advantages include content protection for audio and video communication of ownership and copyrights document and image security etc newlineen_US
dc.format.extentxxv, 171p.en_US
dc.languageEnglishen_US
dc.relationp.157-170en_US
dc.rightsuniversityen_US
dc.titleAnalyzing robustness of watermarking in medical images based on singular value decomposition in frequency domain using chaotic mapsen_US
dc.title.alternativeen_US
dc.creator.researcherLavanya Aen_US
dc.subject.keywordDigital watermarkingen_US
dc.subject.keywordDiscrete wavelet transform singular value decompositionen_US
dc.subject.keywordInformation and communication engineeringen_US
dc.subject.keywordMedical imagesen_US
dc.description.noteen_US
dc.contributor.guideNatarajan Ven_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/11/2013en_US
dc.date.awarded30/11/2013en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File32.92 kBAdobe PDFView/Open
02_certificate.pdf580.06 kBAdobe PDFView/Open
03_abstract.pdf10.88 kBAdobe PDFView/Open
04_acknowledgements.pdf5.72 kBAdobe PDFView/Open
05_contents.pdf40.08 kBAdobe PDFView/Open
06_chapter1.pdf404.45 kBAdobe PDFView/Open
07_chapter2.pdf421.33 kBAdobe PDFView/Open
08_chapter3.pdf1.98 MBAdobe PDFView/Open
09_chapter4.pdf7.4 MBAdobe PDFView/Open
10_chapter5.pdf11.3 kBAdobe PDFView/Open
11_references.pdf46.31 kBAdobe PDFView/Open
12_publications.pdf8.22 kBAdobe PDFView/Open


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