IDEAS home Printed from https://ideas.repec.org/a/ids/ijenma/v7y2016i3p237-249.html
   My bibliography  Save this article

Performance optimisation of multiple watermarking using genetic algorithms

Author

Listed:
  • Mohananthini Natarajan
  • Yamuna Govindarajan

Abstract

A multiple watermarking scheme based on discrete wavelet transform is presented for the analysis of imperceptibility and robustness. The watermarks are embedded into the detail sub-bands using genetic algorithms for the optimisation to improve the performance of imperceptibility on the watermarked image in terms of peak signal to noise ratio and robustness of extracting watermark in term normalised correlation. The experimental results show that the proposed method achieves good imperceptibility and robustness on various attacks such as noise, filtering, cropping, rotation, translation, histogram equalisation, sharpening, smoothing, intensity transformation, row-column blanking, row-column copying and JPEG compression.

Suggested Citation

  • Mohananthini Natarajan & Yamuna Govindarajan, 2016. "Performance optimisation of multiple watermarking using genetic algorithms," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 7(3), pages 237-249.
  • Handle: RePEc:ids:ijenma:v:7:y:2016:i:3:p:237-249
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=78970
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijenma:v:7:y:2016:i:3:p:237-249. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=187 .

    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.