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Robust SVD-based schemes for medical image watermarking
Microprocessors and Microsystems ( IF 2.6 ) Pub Date : 2021-03-30 , DOI: 10.1016/j.micpro.2021.104134
Narima Zermi , Amine Khaldi , Med Redouane Kafi , Fares Kahlessenane , Salah Euschi

Nowadays, several information security issues can compromise the medical images administration. The source and origin of the medical image must be authenticated to verify that it corresponds to the right patient. A second issue is to avoid detachment between an electronic medical record and the corresponding images. One possible solution is the use of digital watermarking techniques applied to medical images, considering the imperceptibility and robustness requirements of the medical imaging watermarking. To increase the security of medical image sharing and transfer, we present in this work a watermarking approach to protect medical images. This innovative approach consists precisely of carefully inserting hospital signature information and patient data into the medical image. The ambitious goal of our work is to properly integrate the watermark with as little distortion as possible to typically retain the medical information in the image. In this flexible approach DWT decomposition is 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 allows retaining the maximum energy of the image in a necessary minimum of singular values. A possible combination of the three resulting singular value matrices is then performed for watermark integration. A possible combination of the three resulting singular value matrices is then performed for watermark integration. The proposed approach ensures information integrity, patient confidentiality when sharing data, and robustness to several conventional attacks.



中文翻译:

基于SVD的稳健医学图像水印方案

如今,一些信息安全问题可能会损害医学图像管理。必须对医学图像的来源和来源进行身份验证,以验证它是否与正确的患者相对应。第二个问题是避免电子病历和相应图像之间的分离。考虑到医学成像水印的不可感知性和鲁棒性要求,一种可能的解决方案是将数字水印技术应用于医学图像。为了提高医学图像共享和传输的安全性,我们在这项工作中提出了一种加水印的方法来保护医学图像。这种创新方法就是将医院签名信息和患者数据小心地插入到医学图像中。我们工作的宏伟目标是正确整合水印,并尽可能减少失真,以将医疗信息保留在图像中。在这种灵活的方法中,将DWT分解应用于图像,这允许在插入期间进行非常令人满意的调整。然后将SVD应用于三个子带LL,LH和HL,从而允许将图像的最大能量保持在必要的奇异值最小值内。然后对水印积分执行三个结果奇异值矩阵的可能组合。然后对水印积分执行三个结果奇异值矩阵的可能组合。所提出的方法可确保信息完整性,共享数据时的患者机密性以及对几种常规攻击的鲁棒性。

更新日期:2021-04-04
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