A lossless DWT-SVD domain watermarking for medical information security
| Autor: | Narima Zermi, Fares Kahlessenane, Salah Euschi, Amine Khaldi, Med Redouane Kafi |
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| Rok vydání: | 2021 |
| Předmět: |
Discrete wavelet transform
Computer Networks and Communications Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Article Robustness (computer science) Data integrity Distortion Singular value decomposition 0202 electrical engineering electronic engineering information engineering Media Technology Computer vision Digital watermarking Lossless compression business.industry 020207 software engineering Watermark Medical image Hardware and Architecture Artificial intelligence Electronic patient record business Software |
| Zdroj: | Multimedia Tools and Applications |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-021-10712-7 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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