A robust NIfTI Image authentication framework based on DST and multi-scale otsu thresholding

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dc.authoridAlaa Ali Hameed / 0000-0002-8514-9255en_US
dc.authorscopusidAlaa Ali Hameed / 56338374100en_US
dc.authorwosidAlaa Ali Hameed / ABI-8417-2020en_US
dc.contributor.authorBhatia, Surbhi
dc.contributor.authorSingh, Kamred Udham
dc.contributor.authorKumar, Ankit
dc.contributor.authorKautish, Sandeep
dc.contributor.authorKumar, Adarsh
dc.contributor.authorBasheer, Shakila
dc.contributor.authorHameed, Alaa Ali
dc.date.accessioned2023-01-26T11:37:11Z
dc.date.available2023-01-26T11:37:11Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractTelemedicine has been intensely promoted in the present pandemic situation of COVID-19 to maintain a strategic distance from the infected person. Several medical tests were used to detect the coronavirus, including antigen, RT-PCR, and a lung CT scan. Only a lung CT-Scan can detect the coronavirus and provide information about the lung infection. As a result, digital imaging plays a critical role in the current pandemic situation. Teleradiology allows for the communication of digital medical images of patients over the internet for diagnosis. A lung CT-Scan test is currently being performed on billions of people to detect COVID-19. These images were sent via the internet for diagnosis and research purposes. The NIfTI image file (.nii extension) was created by the CT-Scanner and contains multiple slices of the lungs. As a result, radiologists determine that the received image has not been tempered during transmission, posing a critical authenticity problem when transmitting these images over the internet. As a result, the researchers are more concerned about the integrity and authenticity of these images in teleradiology. This paper proposes a blind, robust watermarking scheme for lung CT-Scan NIfTI images to address this issue. We use Otsu’s image segmentation algorithm in the proposed scheme to identify the slice with the least amount of medical information for watermark embedding. The proposed scheme employs the Discrete Shearlet Transform (DST), Lifting Wavelet Transform (LWT), and Schur decomposition to embed the encrypted watermark. Watermarks are encrypted using the Affine Transform. The experimental results show that watermarked slice has been tainted by the addition of various sorts of noise, including salt-and-pepper noise, compression, Gaussian noise, speckle noise, and motion blur. After an attack, a watermark is retrieved, and the NC values of extracted watermarks are 0.99623 for Salt and pepper noise, 0.96964 for Gaussian noise, 0.99014 for Speckle noise. The proposed scheme was put to the test with a variety of attacks and produced significant results. Authoren_US
dc.identifier.citationSingh, K. U., Bhatia, S., Kumar, A., Kautish, S., Kumar, A., Basheer, S., & Hameed, A. A. (2022). A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding. IEEE Access, 10, 132608-132620.en_US
dc.identifier.doi10.1109/ACCESS.2022.3225908en_US
dc.identifier.issn2169-3536en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttp://doi.org/10.1109/ACCESS.2022.3225908
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3837
dc.identifier.wosWOS:000905721900001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorHameed, Alaa Ali
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDSTen_US
dc.subjectLung CT-Scanen_US
dc.subjectLWTen_US
dc.subjectMedical Imageen_US
dc.subjectNIfTIen_US
dc.subjectWatermarkingen_US
dc.titleA robust NIfTI Image authentication framework based on DST and multi-scale otsu thresholdingen_US
dc.typeArticleen_US

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