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

Multimed Tools Appl

Computer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria.

Published: April 2021

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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039804PMC
http://dx.doi.org/10.1007/s11042-021-10712-7DOI Listing

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

Multimed Tools Appl

April 2021

Computer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria.

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.

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