A lossless DWT-SVD domain watermarking for medical information security.

Autor: Zermi N; Electronics Department, Faculty of Engineering Sciences Laboratories of Automation and Signals of Annaba (LASA), Badji Mokhtar Annaba University, 23000 Annaba, Algeria., Khaldi A; Computer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria., Kafi MR; Computer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria., Kahlessenane F; Computer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria., Euschi S; Computer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria.
Jazyk: angličtina
Zdroj: Multimedia tools and applications [Multimed Tools Appl] 2021; Vol. 80 (16), pp. 24823-24841. Date of Electronic Publication: 2021 Apr 12.
DOI: 10.1007/s11042-021-10712-7
Abstrakt: The goal of this work is to protect as much as possible the images exchanged in telemedicine, to avoid any confusion between the patient's radiographs, these images are watermarked with the patient's information as well as the acquisition data. Thus, during the extraction, the doctor will be able to affirm with certainty that the images belong to the treated patient. The ultimate goal of our completed work is to properly integrate the watermark with as little distortion as possible to typically retain the medical information in the image. In this innovative approach used DWT decomposition is appropriately applied to the image which allows a remarkably satisfactory adjustment during the insertion. An SVD is then applied to the three subbands LL, LH and HL, which ideally allows retaining the maximum energy of the used image in a guaranteed minimum of singular values. A specific combination of the three resulting singular value matrices is then performed for watermark integration. The proposed approach ensures data integrity, patient confidentiality when sharing data, and robustness to several conventional attacks.
Competing Interests: Conflict of interestThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.)
Databáze: MEDLINE
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