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A Novel Robust Watermarking Algorithm for Encrypted Medical Image Based on DTCWT-DCT and Chaotic Map

机译:基于DTCWT-DCT和混沌映射的加密医学图像的一种新型鲁棒水印算法

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摘要

In order to solve the problem of patient information security protection in medical images,whilst also taking into consideration the unchangeable particularity of medical images to the lesion area and the need for medical images themselves to be protected,a novel robust watermarking algorithm for encrypted medical images based on dual-tree complex wavelet transform and discrete cosine transform(DTCWT-DCT)and chaotic map is proposed in this paper.First,DTCWT-DCT transformation was performed on medical images,and dot product was per-formed in relation to the transformation matrix and logistic map.Inverse transformation was undertaken to obtain encrypted medical images.Then,in the low-frequency part of the DTCWT-DCT transformation coefficient of the encrypted medical image,a set of 32 bits visual feature vectors that can effectively resist geometric attacks are found to be the feature vector of the encrypted medical image by using perceptual hashing.After that,different logistic initial values and growth parameters were set to encrypt the watermark,and zero-watermark technology was used to embed and extract the encrypted medical images by combining cryptography and third-party concepts.The proposed watermarking algorithm does not change the region of interest of medical images thus it does not affect the judgment of doctors.Additionally,the security of the algorithm is enhanced by using chaotic mapping,which is sensitive to the initial value in order to encrypt the medical image and the watermark.The simulation results show that the pro-posed algorithm has good homomorphism,which can not only protect the original medical image and the watermark information,but can also embed and extract the watermark directly in the encrypted image,eliminating the potential risk of decrypting the embedded watermark and extracting watermark.Compared with the recent related research,the proposed algorithm solves the contradiction between robustness and invisibility of the watermarking algorithm for encrypted medical images,and it has good results against both conventional attacks and geometric attacks.Under geometric attacks in particular,the proposed algorithm performs much better than existing algorithms.
机译:为了解决医学图像中患者信息安全保护的问题,同时考虑到病变区域的不可改变的医学图像,并且需要保护医学图像的需要,这是一种用于加密医学图像的新型鲁棒水印算法基于双树复合小波变换和离散余弦变换(DTCWT-DCT)和混沌图。在本文中提出了混沌图。首先,在医学图像上进行DTCWT-DCT变换,并且每形成与转化相比的点产品矩阵和逻辑图。在加密的医学图像的DTCWT-DCT变换系数的低频部分进行了加密的医学图像,实现了一组32位可视攻击几何攻击的32位视觉特征向量的加密的医学图像。发现通过使用感知散列来成为加密的医学图像的特征向量。在那个情况下,不同的逻辑初始v设定了alues和成长参数来加密水印,通过组合密码学和第三方概念来利用零水印技术来嵌入和提取加密的医学图像。所提出的水印算法因此不会改变医学图像的兴趣区域它不会影响医生的判断。加法,通过使用混沌映射来增强算法的安全性,这对初始值敏感,以加密医学图像和水印。仿真结果表明,仿真结果表明算法具有良好的同性态,其不仅可以保护原始的医学图像和水印信息,而且还可以直接在加密图像中嵌入和提取水印,从而消除了解密嵌入式水印和提取水印的潜在风险。相关研究,该算法解决了水印稳健性与无形的矛盾加密医学图像的血管算法,它对传统攻击和几何攻击具有良好的结果。特别是几何攻击下,所提出的算法比现有算法更好地执行。

著录项

  • 来源
    《计算机、材料和连续体(英文)》 |2019年第008期|P.889-910|共22页
  • 作者单位

    College of Information Science and Technology Hainan University Haikou 570228 ChinaFaculty of Network Science Haikou University of Economics Haikou 571127 China;

    College of Information Science and Technology Hainan University Haikou 570228 China;

    College of Information Science and Technology Hainan University Haikou 570228 China;

    School of Computing and Mathematical Sciences Faculty of Liberal Arts and Sciences University of Greenwich Greenwich London SE109LS UK;

    Ocean College Zhejiang University Hangzhou 310058 China;

    College of Medical Informatics Chongqing Medical University Chongqing 400016 China;

    Faculty of Network Science Haikou University of Economics Haikou 571127 China;

    Faculty of Network Science Haikou University of Economics Haikou 571127 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 计算技术、计算机技术;
  • 关键词

    Encrypted medical images; zero-watermarking; DTCWT; perceptual hash; chaotic map;

    机译:加密医学图像;零水印;DTCWT;感知哈希;混乱地图;
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