2023
DOI: 10.26636/jtit.2023.169223
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Improving Quality of Watermarked Medical Images Using Symmetric Dilated Convolution Neural Networks

Abstract: Rapid development of online medical technologies raises questions about the security of the patient’s medical data.When patient records are encrypted and labeled with a watermark, they may be exchanged securely online. In order to avoid geometrical attacks aiming to steal the information, image quality must be maintained and patient data must be appropriately extracted from the encoded image. To ensure that watermarked images are more resistant to attacks (e.g. additive noise or geometric attacks), different w… Show more

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