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一种用于神经退行性疾病诊断的稳健图像加密水印技术及其应用。

A Robust Image Encrypted Watermarking Technique for Neurodegenerative Disorder Diagnosis and Its Applications.

机构信息

Department of Computer Science and Engineering, Lovely Professional University, Punjab, India.

Department of Computer Application, Lovely Professional University, Punjab, India.

出版信息

Comput Math Methods Med. 2021 Sep 20;2021:8081276. doi: 10.1155/2021/8081276. eCollection 2021.

Abstract

The use of Internet technology has led to the availability of different multimedia data in various formats. The unapproved customers misuse multimedia information by conveying them on various web objections to acquire cash deceptively without the first copyright holder's intervention. Due to the rise in cases of COVID-19, lots of patient information are leaked without their knowledge, so an intelligent technique is required to protect the integrity of patient data by placing an invisible signal known as a watermark on the medical images. In this paper, a new method of watermarking is proposed on both standard and medical images. The paper addresses the use of digital rights management in medical field applications such as embedding the watermark in medical images related to neurodegenerative disorders, lung disorders, and heart issues. The various quality parameters are used to figure out the evaluation of the developed method. In addition, the testing of the watermarking scheme is done by applying various signal processing attacks.

摘要

互联网技术的使用导致了各种格式的多媒体数据的可用性。未经授权的客户通过在各种网络目标上传输多媒体信息来进行不当使用,在未经第一版权持有者干预的情况下进行欺诈性地获取资金。由于 COVID-19 病例的增加,许多患者的信息在他们不知情的情况下被泄露,因此需要一种智能技术通过在医疗图像上放置一个称为水印的不可见信号来保护患者数据的完整性。在本文中,针对标准图像和医疗图像提出了一种新的水印方法。本文探讨了数字版权管理在医疗领域应用中的使用,例如在与神经退行性疾病、肺部疾病和心脏问题相关的医疗图像中嵌入水印。使用各种质量参数来确定所开发方法的评估。此外,通过应用各种信号处理攻击来对水印方案进行测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3bc/8478543/a132aeaef708/CMMM2021-8081276.001.jpg

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