Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/337818
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dc.coverage.spatialCertain investigations on medical image security using fuzzy logic and dual tree complex wavelet transform
dc.date.accessioned2021-08-26T04:08:57Z-
dc.date.available2021-08-26T04:08:57Z-
dc.identifier.urihttp://hdl.handle.net/10603/337818-
dc.description.abstractSteganography plays an important role in securing the images from hackers and intruders. Today, large amount of multimedia data such as images, videos and audios are shared in social media due to the abrupt development of the internet. This needs high level of security for protecting the valuable data during their transmission and reception. In hospitals and scan centres, there are huge numbers of images of the patients stored in personal computer during patient scanning process. This would require security from the unknown persons by seeing the scanned images of the patients. Hence, medical image security plays a crucial role in hospitals and scan centres around the world. The security level of the medical images in hospitals and scan centres are increased by steganography technique. In this research work, an efficient edge based steganography algorithm is proposed using fuzzy logic. Fuzzy rules are constructed which are used to detect the edges in both cover and secret image. The Discrete Wavelet Transform (DWT) is applied on the edge detected cover and secret image. The weak edge coefficients in cover image are overlaid by the coefficients of the secret image. The performance of the proposed steganography technique is analyzed in terms of Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Mean Absolute Error (MAE). The secret medical image is embedded into cover image to achieve high security for the medical images. Initially, both cover and secret images are normalized. newline
dc.format.extentxvi,125p.
dc.languageEnglish
dc.relationp.115-124
dc.rightsuniversity
dc.titleCertain investigations on medical image security using fuzzy logic and dual tree complex wavelet transform
dc.title.alternative
dc.creator.researcherYuvaraja, T
dc.subject.keywordSteganography
dc.subject.keywordMedical image
dc.subject.keywordFuzzy logic
dc.description.note
dc.contributor.guideSabeenian, R S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File23.69 kBAdobe PDFView/Open
02_certificates.pdf330.36 kBAdobe PDFView/Open
03_vivaproceedings.pdf607.18 kBAdobe PDFView/Open
04_bonafidecertificate.pdf336.12 kBAdobe PDFView/Open
05_abstracts.pdf28.19 kBAdobe PDFView/Open
06_acknowledgements.pdf462.07 kBAdobe PDFView/Open
07_contents.pdf10.5 kBAdobe PDFView/Open
08_listoftables.pdf28.85 kBAdobe PDFView/Open
09_listoffigures.pdf12.32 kBAdobe PDFView/Open
10_listofabbreviations.pdf8.51 kBAdobe PDFView/Open
11_chapter1.pdf285.77 kBAdobe PDFView/Open
12_chapter2.pdf147.37 kBAdobe PDFView/Open
13_chapter3.pdf366.92 kBAdobe PDFView/Open
14_chapter4.pdf420.54 kBAdobe PDFView/Open
15_chapter5.pdf235.21 kBAdobe PDFView/Open
16_chapter6.pdf568.71 kBAdobe PDFView/Open
17_conclusion.pdf47.74 kBAdobe PDFView/Open
18_references.pdf131.34 kBAdobe PDFView/Open
19_listofpublications.pdf94.89 kBAdobe PDFView/Open
80_recommendation.pdf66.8 kBAdobe PDFView/Open


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