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首页> 外文期刊>Computers, Materials & Continua >A Robust Watermarking Scheme Based on ROI and IWT for Remote Consultation of COVID-19
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A Robust Watermarking Scheme Based on ROI and IWT for Remote Consultation of COVID-19

机译：基于ROI和IWT的强大水印方案，用于远程咨询Covid-19

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摘要

In the current dire situation of the corona virus COVID-19, remote consultations were proposed to avoid cross-infection and regional differences in medical resources. However, the safety of digital medical imaging in remote consultations has also attracted more and more attention from the medical industry. To ensure the integrity and security of medical images, this paper proposes a robust watermarking algorithm to authenticate and recover from the distorted medical images based on regions of interest (ROI) and integer wavelet transform (IWT). First, the medical image is divided into two different parts, regions of interest and non-interest regions. Then the integrity of ROI is verified using the hash algorithm, and the recovery data of the ROI region is calculated at the same time. Also, binary images with the basic information of patients are processed by logistic chaotic map encryption, and then the synthetic watermark is embedded in the medical carrier image using IWT transform. The performance of the proposed algorithm is tested by the simulation experiments based on the MATLAB program in CT images of the lungs. Experimental results show that the algorithm can precisely locate the distorted areas of an image and recover the original ROI on the basis of verifying image reliability. The maximum peak signal to noise ratio (PSNR) value of 51.24 has been achieved, which proves that the watermark is invisible and has strong robustness against noise, compression, and filtering attacks.
机译：在电晕病毒Covid-19的当前恐怖状况中，提出了远程咨询，以避免跨感染和医疗资源的区域差异。然而，远程磋商中的数字医学成像的安全性也吸引了越来越多的医学行业的关注。为了确保医学图像的完整性和安全性，本文提出了一种稳健的水印算法，以基于感兴趣的区域（ROI）和整数小波变换（IWT）来认证和恢复扭曲的医学图像。首先，医学图像分为两个不同的零件，感兴趣的区域和非兴趣区。然后使用散列算法验证ROI的完整性，并且同时计算ROI区域的恢复数据。此外，通过逻辑混沌映射加密处理具有患者的基本信息的二进制图像，然后使用IWT变换嵌入合成水印嵌入医学载体图像中。基于肺部CT图像中的Matlab程序测试了所提出的算法的性能。实验结果表明，该算法可以精确地定位图像的扭曲区域，并在验证图像可靠性的基础上恢复原始ROI。已经实现了51.24的最大峰值信号（PSNR）值（PSNR）值，这证明了水印是不可见的，并且对噪声，压缩和过滤攻击具有强大的鲁棒性。

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  • 来源
    《Computers, Materials & Continua》 |2020年第3期|1435-1452|共18页
  • 作者

    Xiaorui Zhang; Wenfang Zhang; Wei Sun; Tong Xu; Sunil Kumar Jha;

  • 作者单位

    Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital Forensics Ministry of Education School of Computer and Software Nanjing University of Information Science & Technology Nanjing 210044 China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing 210044 China;

    Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital Forensics Ministry of Education School of Computer and Software Nanjing University of Information Science & Technology Nanjing 210044 China;

    Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing 210044 China;

    Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital Forensics Ministry of Education School of Computer and Software Nanjing University of Information Science & Technology Nanjing 210044 China;

    IT Fundamentals and Education Technologies Applications University of Information Technology and Management in Rzeszow Rzeszow 100031 Poland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Digital watermarking; logistic; hash algorithm; ROI; IWT;

    机译：数字水印;物流;哈希算法;ROI;IWT.;

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