IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i12p1859-d1414993.html
   My bibliography  Save this article

A Hybrid Domain Color Image Watermarking Scheme Based on Hyperchaotic Mapping

Author

Listed:
  • Yumin Dong

    (College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China)

  • Rui Yan

    (College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China)

  • Qiong Zhang

    (College of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China)

  • Xuesong Wu

    (College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China)

Abstract

In the field of image watermarking technology, it is very important to balance imperceptibility, robustness and embedding capacity. In order to solve this key problem, this paper proposes a new color image adaptive watermarking scheme based on discrete wavelet transform (DWT), discrete cosine transform (DCT) and singular value decomposition (SVD). In order to improve the security of the watermark, we use Lorenz hyperchaotic mapping to encrypt the watermark image. We adaptively determine the embedding factor by calculating the Bhattacharyya distance between the cover image and the watermark image, and combine the Alpha blending technique to embed the watermark image into the Y component of the YCbCr color space to enhance the imperceptibility of the algorithm. The experimental results show that the average PSNR of our scheme is 45.9382 dB, and the SSIM is 0.9986. Through a large number of experimental results and comparative analysis, it shows that the scheme has good imperceptibility and robustness, indicating that we have achieved a good balance between imperceptibility, robustness and embedding capacity.

Suggested Citation

  • Yumin Dong & Rui Yan & Qiong Zhang & Xuesong Wu, 2024. "A Hybrid Domain Color Image Watermarking Scheme Based on Hyperchaotic Mapping," Mathematics, MDPI, vol. 12(12), pages 1-18, June.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:12:p:1859-:d:1414993
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/12/1859/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/12/1859/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:12:p:1859-:d:1414993. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.