Robust Zero-Watermarking Algorithm for Medical Images Using Double-Tree Complex Wavelet Transform and Hessenberg Decomposition

作者全名："Huang, Tongyuan; Xu, Jia; Yang, Yuling; Han, Baoru"

作者地址："[Huang, Tongyuan; Xu, Jia; Yang, Yuling] Chongqing Univ Technol, Sch Artificial Intelligence, Chongqing 401135, Peoples R China; [Han, Baoru] Chongqing Med Univ, Coll Med Informat, Chongqing 400016, Peoples R China"

通信作者："Huang, TY (通讯作者)，Chongqing Univ Technol, Sch Artificial Intelligence, Chongqing 401135, Peoples R China.; Han, BR (通讯作者)，Chongqing Med Univ, Coll Med Informat, Chongqing 400016, Peoples R China."

来源：MATHEMATICS

ESI学科分类：MATHEMATICS

WOS号：WOS:000781058000001

JCR分区：Q1

影响因子：2.4

年份：2022

卷号：10

期号：7

开始页：　

结束页：　

文献类型：Article

关键词：DTCWT; MDCT; Hessenberg decomposition; zero-watermarking; medical image

摘要："With the rapid development of smart medical care, copyright security for medical images is becoming increasingly important. To improve medical images storage and transmission safety, this paper proposes a robust zero-watermarking algorithm for medical images by fusing Dual-Tree Complex Wavelet Transform (DTCWT), Hessenberg decomposition, and Multi-level Discrete Cosine Transform (MDCT). First, the low-frequency sub-band of the medical image is obtained through the DTCWT and MDCT. Then Hessenberg decomposition is used to construct the visual feature vector. Meanwhile, the encryption of the watermarking image by combining cryptographic algorithms, third-party concepts, and chaotic sequences enhances the algorithm's security. In the proposed algorithm, zero-watermarking technology is utilized to assure the medical images' completeness. Compared with the existing algorithms, the proposed algorithm has good robustness and invisibility and can efficiently extract the watermarking image and resist different attacks."

基金机构：General Project of Chongqing Natural Science Foundation of China [cstc2020jcyj-msxmX042]; Hainan Provincial Natural Science Foundation of China [620MS067]; National Natural Science Foundation of China [61702063]

基金资助正文："This work was supported by the General Project of Chongqing Natural Science Foundation of China (No. cstc2020jcyj-msxmX042), the Hainan Provincial Natural Science Foundation of China (No. 620MS067), and the National Natural Science Foundation of China (No. 61702063)."