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

Author

Listed:
  • Tongyuan Huang

    (School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China)

  • Jia Xu

    (School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China)

  • Yuling Yang

    (School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China)

  • Baoru Han

    (College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China)

Abstract

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.

Suggested Citation

  • Tongyuan Huang & Jia Xu & Yuling Yang & Baoru Han, 2022. "Robust Zero-Watermarking Algorithm for Medical Images Using Double-Tree Complex Wavelet Transform and Hessenberg Decomposition," Mathematics, MDPI, vol. 10(7), pages 1-19, April.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:7:p:1154-:d:786296
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    References listed on IDEAS

    as
    1. Kai Zhou & Yunming Zhang & Jing Li & Yantong Zhan & Wenbo Wan, 2020. "Spatial-Perceptual Embedding with Robust Just Noticeable Difference Model for Color Image Watermarking," Mathematics, MDPI, vol. 8(9), pages 1-17, September.
    2. Manuel Cedillo-Hernandez & Antonio Cedillo-Hernandez & Francisco J. Garcia-Ugalde, 2021. "Improving DFT-Based Image Watermarking Using Particle Swarm Optimization Algorithm," Mathematics, MDPI, vol. 9(15), pages 1-20, July.
    3. Yan Li & Junwei Wang & Hongyong Jia, 2020. "A Robust and Reversible Watermarking Algorithm for a Relational Database Based on Continuous Columns in Histogram," Mathematics, MDPI, vol. 8(11), pages 1-12, November.
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